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• Bayesian Inference via GeTe x ‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
  ABSTRACT Neuromorphic architectures leveraging stochastic device physics present a transformative approach for implementing probabilistic computing paradigms capable of intrinsic uncertainty quantification. In this work, we present a germanium‐telluride‐based …
  openalex Xinyu Wen, Lun Wang, K. L. Wang, Vivian Zhao 等 2026-01-21 置信度 0.72 Neuromorphic engineeringComputer scienceScalabilityProbabilistic logicStochastic computing
• Emerging ferroelectric materials ScAlN: applications and prospects in memristors
  The research found that after doping with rare earth elements, a large number of electrons and holes will be produced on the surface of AlN, which makes the material have the characteristics of spontaneous polarization. A new type of ferroelectric material has…
  openalex Dong-Ping Yang, Xin‐Gui Tang, Qijun Sun, Jiaying Chen 等 2024-01-01 置信度 0.72 Materials scienceFerroelectricityMemristorDopingElectron
• Research Progress in Dielectric-Layer Material Systems of Memristors
  With the rapid growth of data storage, traditional von Neumann architectures and silicon-based storage computing technologies will reach their limits and fail to meet the storage requirements of ultra-small size, ultra-high density, and memory computing. Memri…
  openalex Chunxia Wang, Xuemei Li, Zhendong Sun, Yang Liu 等 2024-03-13 置信度 0.72 MemristorResistive random-access memoryResistive touchscreenVon Neumann architectureComputer science
• Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks
  Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic pro…
  openalex Jacek Gosciniak, Jacob B. Khurgin 2025-07-10 置信度 0.72 Realization (probability)PhotonicsComputer scienceArtificial neural networkElectrical conductor
• Process-dependent ferroelectric and memristive properties in polycrystalline Ca:HfO2-based devices
  Memristors are considered key building blocks for developing neuromorphic or in-memory computing hardware. Here, we study the ferroelectric and memristive response of Pt/Ca:HfO2/Pt devices fabricated on silicon by spin-coating from chemical solution deposition…
  openalex C. Ferreyra, Miguel Badillo, M. J. Sánchez, Mónica Acuautla 等 2025-01-08 置信度 0.72 FerroelectricityMaterials scienceCrystalliteProcess (computing)Nanotechnology
• Artificial Intelligence-Based Aquaculture System for Optimizing the Quality of Water: A Systematic Analysis
  The world population is expected to grow to around 9 billion by 2050. The growing need for foods with high protein levels makes aquaculture one of the fastest-growing food industries in the world. Some challenges of fishing production are related to obsolete a…
  openalex Omar Capetillo-Contreras, Francisco David Pérez-Reynoso, Marco Antonio Zamora-Antuñano, José M. Álvarez-Alvarado 等 2024-01-13 置信度 0.72 AquacultureOverexploitationFishingPopulationBusiness
• Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function
  Despite considerable advancement of first choice treatment (pharmacological, physical therapy, etc.) over many decades, neurological disorders still represent a major portion of the worldwide disease burden. Particularly concerning, the trend is that this scen…
  openalex Marta Carè, Michela Chiappalone, Vinícius Rosa Cota 2024-03-07 置信度 0.72 NeurostimulationPersonalizationDeep brain stimulationModalitiesMedicine
• Experimental demonstration of magnetic tunnel junction-based computational random-access memory
  The conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence because much of the power and energy is consumed by constant data transfers between logic and memory modu…
  openalex Yang Lv, Brandon R. Zink, Robert P. Bloom, Hüsrev Cılasun 等 2024-07-25 置信度 0.72 Tunnel magnetoresistanceComputer scienceRandom accessRandom access memoryMaterials science
• From pulses to plasticity: Analytical tools for memristive synapse design
  Neuromorphic device design demands a clear understanding of the dynamics governing conductance modulation under external stimuli. Many synaptic memristors can be described by a quasi-linear model, where a memory variable relaxes between two limiting states. He…
  openalex Gonzalo Rivera‐Sierra, Juan Bisquert 2025-10-13 置信度 0.72 Neuromorphic engineeringMemristorComputer scienceElectronic engineeringVariable (mathematics)
• Fast learning without synaptic plasticity in spiking neural networks
  Spiking neural networks are of high current interest, both from the perspective of modelling neural networks of the brain and for porting their fast learning capability and energy efficiency into neuromorphic hardware. But so far we have not been able to repro…
  openalex Anand Subramoney, Guillaume Bellec, Franz Scherr, Robert Legenstein 等 2024-04-12 置信度 0.72 Synaptic plasticityNeuroscienceComputer scienceSpiking neural networkSynaptic scaling
• Programmable Functional Connectivity and Synchronous Activity in Resistive Switching Self‐Assembled Nanostructured Networks
  The efficiency of biological data processing systems is based on their adaptive connectivity and on the mutual interactions of their elements at different scales. These features are not substantially present in the design of electronic architectures based on c…
  openalex Davide Decastri, Thierry Nieus, Cristina Zuccali, Flavio Giacomozzi 等 2025-09-12 置信度 0.72 Neuromorphic engineeringComputer scienceEncoding (memory)Resistive touchscreenInformation processing
• Estimating optical flow: A comprehensive review of the state of the art
  Optical flow estimation is a crucial task in computer vision that provides low-level motion information. Despite recent advances, real-world applications still present significant challenges. This survey provides an overview of optical flow techniques and thei…
  openalex Andrea Alfarano, Luca Maiano, Lorenzo Papa, Irene Amerini 2024-09-16 置信度 0.72 Optical flowComputer scienceFlow (mathematics)State (computer science)Artificial intelligence
• Recent Progress in Flexible Piezoelectric Tactile Sensors: Materials, Structures, Fabrication, and Application
  Flexible tactile sensors are widely used in aerospace, medical and health monitoring, electronic skin, human-computer interaction, and other fields due to their unique advantages, thus becoming a research hotspot. The goal is to develop a flexible tactile sens…
  openalex Jingyao Tang, Yiheng Li, Yirong Yu, Qing‐Miao Hu 等 2025-02-05 置信度 0.72 Tactile sensorPiezoresistive effectCapacitive sensingPiezoelectricityElectronic skin
• Spike-Count Reduction Techniques for Low Power Spiking Neural Networks
  Spiking neural network (SNN) has demonstrated its great potential in low-power neuromorphic applications. In SNN, computation activities are associated with the arrival and firing of spikes, its power consumption is directly correlated with the number of spike…
  openalex Xinyu Kang, Zhitao Yang, Yuan Ren, Terry Tao Ye 2025-08-07 置信度 0.72 Spike (software development)Reduction (mathematics)Computational intelligenceSpiking neural networkArtificial neural network
• 2D Graphene Oxide: A Versatile Thermo‐Optic Material
  Abstract Efficient heat management and control in optical devices, facilitated by advanced thermo‐optic materials, are critical for many applications such as photovoltaics, thermal emitters, mode‐locked lasers, and optical switches. Here, a range of thermo‐opt…
  openalex Junkai Hu, Jiayang Wu, Wenbo Liu, Di Jin 等 2024-06-28 置信度 0.72 Materials scienceOptoelectronicsGrapheneRefractive indexPolarization (electrochemistry)
• Alcohol‐sensitive MoS 2 optoelectronic synapses for mimicking human‐like visual adaptation
  Abstract The rapid advancements in humanoid robotics and autonomous driving demand smart artificial optoelectronic vision systems that can emulate human‐like perception. Although many studies have reported multi‐functional visual chips based on artificial opto…
  openalex Xiao Liu, Ming Huang, Xiongfeng Zou, Wajid Ali 等 2025-04-15 置信度 0.72 Adaptation (eye)OptoelectronicsNeuroscienceMaterials scienceComputer science
• Toward Practical Single‐Molecule/Atom Switches
  Electronic switches have been considered to be one of the most important components of contemporary electronic circuits for processing and storing digital information. Fabricating functional devices with building blocks of atomic/molecular switches can greatly…
  openalex Xiaona Xu, Chunyan Gao, E. Ramya, Chuancheng Jia 等 2024-05-29 置信度 0.72 Molecular switchComputer scienceNanotechnologyKey (lock)Electronic circuit
• Bioinspired learning and memory in ionogels through fast response and slow relaxation dynamics of ions
  Mimicking biological systems’ sensing, learning, and memory capabilities in synthetic soft materials remains challenging. While significant progress has been made in sensory functions in ionogels, their learning and memory capabilities still lag behind biologi…
  openalex Ning Zhou, Ting Cui, Zhouyue Lei, Peiyi Wu 2025-05-16 置信度 0.72 IonRelaxation (psychology)Materials scienceChemical physicsNanotechnology
• All-silicon non-volatile optical memory based on photon avalanche-induced trapping
  Abstract Implementing on-chip non-volatile optical memories has long been an actively pursued goal, promising significant enhancements in the capability and energy efficiency of photonic integrated circuits. Here, we demonstrate an non-volatile optical memory …
  openalex Yuan Yuan, Yiwei Peng, Stanley Cheung, Wayne V. Sorin 等 2025-01-24 置信度 0.72 TrappingSiliconOptoelectronicsMaterials scienceNon-volatile memory
• The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity
  Abstract Non-crystalline materials exhibit unique properties that make them suitable for various applications in science and technology, ranging from optical and electronic devices and solid-state batteries to protective coatings. However, data-driven explorat…
  openalex Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max C. Gallant 等 2024-12-19 置信度 0.72 Ab initioThermal diffusivityMaterials scienceComputer scienceDatabase
• Tunable Bipolar Photothermoelectric Response from Mott Activation for In‐Sensor Image Preprocessing
  In-sensor image preprocessing, a subset of edge computing, offers a solution to mitigate frequent analog-digital conversions and the von Neumann bottleneck in conventional digital hardware. However, an efficient in-sensor device array with large-scale integrat…
  openalex Bowen Li, Ning Lin, Zhaowu Wang, Zhaowu Wang 等 2025-04-25 置信度 0.72 Materials scienceResponsivityOptoelectronicsPhotodiodeImage sensor
• Memory Technology: Development, Fundamentals, and Future Trends
  The unprecedented development in the fields of artificial intelligence (AI), big data, and the internet of things (IoT) has been booming the expansion of the digital universe where data are growing at astronomical rates. The ever-increasing performance of comp…
  openalex Zongwei Wang, Yimao Cai 2023-10-09 置信度 0.72 Computer scienceFlash memorySemiconductor memoryComputer memoryNon-volatile memory
• Soft Artificial Synapse Electronics
  Soft electronics, known for their bendable, stretchable, and flexible properties, are revolutionizing fields such as biomedical sensing, consumer electronics, and robotics. A primary challenge in this domain is achieving low power consumption, often hampered b…
  openalex Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu 2024-12-27 置信度 0.72 ElectronicsSynapseNanotechnologyComputer scienceNeuroscience
• Spiking Variational Policy Gradient for Brain Inspired Reinforcement Learning
  Recent studies in reinforcement learning have explored brain-inspired function approximators and learning algorithms to simulate brain intelligence and adapt to neuromorphic hardware. Among these approaches, reward-modulated spike-timing-dependent plasticity (…
  openalex Zhile Yang, Shangqi Guo, Ying Fang, Zhaofei Yu 等 2024-12-09 置信度 0.72 Reinforcement learningArtificial intelligenceComputer scienceMachine learningPattern recognition (psychology)
• Deep photonic network platform enabling arbitrary and broadband optical functionality
  Expanding applications in optical communications, computing, and sensing continue to drive the need for high-performance integrated photonic components. Designing these on-chip systems with arbitrary functionality requires beyond what is possible with physical…
  openalex Ali Najjar Amiri, Aycan Deniz Vit, Kazim Görgülü, Emir Salih Magden 2024-02-16 置信度 0.72 Computer sciencePhotonicsScalabilityBroadbandElectronic engineering
• An organic brain-inspired platform with neurotransmitter closed-loop control, actuation and reinforcement learning
  adaptive synaptic potentiation and depression, in a closed-loop fashion. The microfabricated platform could be interfaced and control a robotic hand which ultimately was able to learn the grasping of differently sized objects, autonomously.
  openalex Ugo Bruno, Daniela Rana, Chiara Ausilio, Anna Mariano 等 2024-01-01 置信度 0.72 Neuromorphic engineeringReinforcement learningBridge (graph theory)Closed loopBrain tissue
• Vector Ising spin annealer for minimizing Ising Hamiltonians
  Abstract Complex optimization problems can be solved via dedicated machines which encode the problem in the couplings of spin Hamiltonians. However, traditional physical minimizers often select excited states due to limitations in spin dynamics. We introduce t…
  openalex James Cummins, Natalia G. Berloff 2025-05-29 置信度 0.72 Ising modelIsing spinSquare-lattice Ising modelStatistical physicsPhysics
• Spiking neural networks for physiological and speech signals: a review
  openalex Sung Soo Park, Young-Seok Choi 2024-06-25 置信度 0.72 Computer scienceSpiking neural networkWearable computerField (mathematics)Temporal resolution
• Post-processing methods for delay embedding and feature scaling of reservoir computers
  Reservoir computing is a machine learning method that is well-suited for complex time series prediction tasks. Both delay embedding and the projection of input data into a higher-dimensional space play important roles in enabling accurate predictions. We estab…
  openalex Jonnel Anthony Jaurigue, Joshua Robertson, Antonio Hurtado, Lina Jaurigue 等 2025-01-27 置信度 0.72 Reservoir computingEmbeddingComputer scienceFeature (linguistics)Dimension (graph theory)
• NSIP: Neural Network SPICE Integration Platform for Ferroelectric Field‐Effect Transistor‐Based Crossbar Arrays
  This article presents the world's first demonstration of a neural network SPICE integration platform (NSIP) for simulating synaptic weights in HfZrO (HZO)‐based ferroelectric field‐effect transistor (FeFET) crossbar arrays tailored for neuromorphic computing. …
  openalex Juhwan Park, H. J. Kim, Hyunbo Cho, Jongwook Jeon 2025-06-25 置信度 0.72 Crossbar switchSpiceComputer scienceElectronic engineeringOptoelectronics
• Heusler alloys for metal spintronics
  Abstract Heusler alloys have been theoretically predicted and experimentally demonstrated to be an ideal spin source due to their half-metallicity at room temperature. The half-metallicity also offers low Gilbert damping constants for fast magnetization revers…
  openalex Atsufumi Hirohata, David C. Lloyd 2022-06-01 置信度 0.72 SpintronicsCondensed matter physicsMaterials scienceAlloySpin (aerodynamics)
• An inorganic-blended p-type semiconductor with robust electrical and mechanical properties
  Abstract Inorganic semiconductors typically have limited p-type behavior due to the scarcity of holes and the localized valence band maximum, hindering the progress of complementary devices and circuits. In this work, we propose an inorganic blending strategy …
  openalex You Meng, Weijun Wang, Rong Fan, Zhengxun Lai 等 2024-05-24 置信度 0.72 SemiconductorMaterials scienceOptoelectronicsNanotechnologyNanosphere lithography
• Unveiling the switching mechanism of robust tetrazine-based memristive nociceptors via a spectroelectrochemical approach
  ) and nanosecond level switching time (60 ns), can be successfully optimized. Moreover, a spectroelectrochemical strategy was employed for the first time to investigate the RS mechanism at the molecular level, elucidating the critical role of molecular design …
  openalex JiYu Zhao, Kun Liu, Wei Zeng, Zhuo Chen 等 2025-01-01 置信度 0.72 Mechanism (biology)TetrazineNociceptorChemistryComputer science
• Roadmap on Optics and Photonics for Security and Encryption
  In 1994, Javidi and Horner published a paper in Optical Engineering that highlighted the ability of free space optical systems to manipulate sensitive data for authentication purposes. The underlying idea was effective yet surprisingly simple: an optical nonli…
  openalex Bahram Javidi, Artur Carnicer, Kavan Ahmadi, Yasuhiro Awatsuji 等 2025-01-01 置信度 0.72 EncryptionPhotonicsComputer scienceUltrafast opticsOptics
• Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding
  In order to achieve higher accuracy, the complexity of grasp detection network increases accordingly with complicated model structures and tremendous parameters. Although various light-weight strategies are adopted, directly designing the compact network can b…
  openalex Hong Nie, Zhou Zhao, Lu Chen, Zhenyu Lu 等 2024-07-02 置信度 0.72 GRASPEncoding (memory)DistillationComputer scienceFeature (linguistics)
• Challenges and opportunities for validation of AI-based new approach methods
  The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep­resents a paradigm shift in chemical safety assessment. Harnessing AI appropriately has enormous potential to streamline validation efforts. This review explore…
  openalex Thomas Härtung, Nicole Kleinstreuer 2025-01-01 置信度 0.72 Computer scienceData scienceManagement scienceArtificial intelligenceEngineering
• Tactile Feedback in Robot‐Assisted Minimally Invasive Surgery: A Systematic Review
  BACKGROUND: Robot-assisted systems have predominantly relied on teleoperation, where visual feedback is the primary source of information. However, advances in tactile sensing and displays offer new opportunities to enhance surgical transparency, efficiency, a…
  openalex Jacinto Colan, Ana Davila, Yasuhisa Hasegawa 2024-12-01 置信度 0.72 TeleoperationComputer scienceRobotHuman–computer interactionSurgical robot
• Emergent digital bio-computation through spatial diffusion and engineered bacteria
  Biological computing is a promising field with potential applications in biosafety, environmental monitoring, and personalized medicine. Here we present work on the design of bacterial computers using spatial patterning to process information in the form of di…
  openalex Alex J. H. Fedorec, Neythen J. Treloar, Ke Yan Wen, Linda Dekker 等 2024-06-08 置信度 0.72 BacteriaDiffusionComputationComputer scienceComputational biology
• Bioelectronics with Topological Crosslinked Networks for Tactile Perception
  Abstract Bioelectronics, which integrate biological systems with electronic components, have attracted significant attention in developing biomimetic materials and advanced hardware architectures to enable novel information‐processing systems, sensors, and act…
  openalex Mingqi Ding, Pengshan Xie, Johnny C. Ho 2025-02-04 置信度 0.72 BioelectronicsPerceptionTactile perceptionCognitive scienceMaterials science
• A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability
  Abstract The human brain facilitates information processing via generating and receiving temporal patterns of short voltage pulses, a.k.a. neural spikes. This approach simultaneously grants low‐power operation as well as a high degree of noise immunity and fau…
  openalex Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer 等 2024-10-10 置信度 0.72 Materials scienceTerminal (telecommunication)MemristorNeuronNanotechnology
• Engineering Nonvolatile Polarization in 2D α-In2Se3/α-Ga2Se3 Ferroelectric Junctions
  The advent of two-dimensional (2D) ferroelectrics offers a new paradigm for device miniaturization and multifunctionality. Recently, 2D α-In2Se3 and related III–VI compound ferroelectrics manifest room-temperature ferroelectricity and exhibit reversible sponta…
  openalex Peipei Li, Delin Kong, Jin Yang, Shuyu Cui 等 2025-01-22 置信度 0.72 FerroelectricityHeterojunctionMaterials scienceOptoelectronicsSemiconductor
• Recent Progress in Tactile Sensing and Machine Learning for Texture Perception in Humanoid Robotics
  ABSTRACT Humanoid robots have garnered substantial attention recently in both academia and industry. These robots are becoming increasingly sophisticated and intelligent, as seen in health care, education, customer service, logistics, security, space explorati…
  openalex Longteng Yu, Dabiao Liu 2024-12-30 置信度 0.72 Humanoid robotTactile perceptionArtificial intelligencePerceptionHuman–computer interaction
• LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification
  Spiking neural networks (SNNs) present the potential for ultra-low-power computation, especially when implemented on dedicated neuromorphic hardware. However, a significant challenge is the efficient conversion of continuous real-world data into the discrete s…
  openalex Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura‐Jiménez 等 2025-01-01 置信度 0.72 Spike (software development)PsychologyArtificial intelligenceComputer sciencePhysical medicine and rehabilitation
• Stochastic compact model for memory and threshold switching memristors
  Memristors are electron devices whose resistance changes according to the history of electrical signals applied to their two terminals. These resistance changes can remain for very long times or relax after a short time. Thus, memristors can be used as electro…
  openalex J. Suñé, E. Miranda 2025-03-01 置信度 0.72 MemristorComputer scienceElectronic engineeringEngineering
• Quantized Conductance and Multilevel Memory Operation in Mn 3 O 4 Nanowire Network Devices Combined with Low Voltage Operation and Oxygen Vacancy Induced Resistive Switching
  Abstract Quantum effects in nanowires and nanodevices can potentially revolutionize the device concepts with multi‐functionalities for future technologies. Memristive devices which undergo transition from high resistance state to low resistance state involve n…
  openalex Keval Hadiyal, Ramakrishnan Ganesan, R. Thamankar 2025-07-13 置信度 0.72 Materials scienceNanowireConductanceResistive random-access memoryVoltage
• Advanced Materials Research at CUHK: From Biomedicine to Electronics and Beyond
  This special issue spans a diverse array of topics, including nanomedicine, tissue engineering, regenerative medicine, organs-on-chips, biosensing, soft robotics, smart devices, nanofabrication, energy saving and storage, catalysis, spintronics, soft electroni…
  openalex Chuanbin Mao 2025-01-01 置信度 0.72 Materials scienceBiomedicineNanotechnologyElectronicsEngineering physics
• Photoinduced Melting of V4O7 Correlated State
  Abstract The compound V4O7 is one of the Magnéli phase (VnO2n − 1, n = 3, 4, …, 9) correlated vanadium oxides with distinct intriguing electronic and structural properties. The possibility to manipulate the phase state of V4O7 on an ultrafast time scale by lig…
  openalex Alexander Bartenev, Camilo Verbel, Qin Wu, Fernando Camino 等 2024-12-15 置信度 0.72 PhotoexcitationMaterials scienceUltrashort pulsePhotonicsNeuromorphic engineering
• Quantum simulations of complex systems
  Abstract In this review, we give a brief overview of quantum simulation as applied to the study of complex systems. In particular, we cover the basic ideas of quantum simulation, neuromorphic computation, the Sachdev–Ye–Kitaev model, as well as applications to…
  openalex O. Morsch, G. Massimo Palma, Davide Rossini 2025-05-01 置信度 0.72 Computer scienceQuantumStatistical physicsPhysicsQuantum mechanics
• Strategic & Large-Scale Considerations of Neuromorphic Computing
  Hardware Lottery• "History tells us that scientific progress is imperfect.Intellectual traditions and available tooling can prejudice scientists away from some ideas and towards others."• "…to describe when a research idea wins because it is compatible with av…
  openalex Craig M. Vineyard 2024-04-01 置信度 0.72 Neuromorphic engineeringScale (ratio)Computer scienceComputer architectureArtificial intelligence
• Using CSNNs to Perform Event-based Data Processing & Classification on ASL-DVS
  Recent advancements in bio-inspired visual sensing and neuromorphic computing have led to the development of various highly efficient bio-inspired solutions with real-world applications. One notable application integrates event-based cameras with spiking neura…
  openalex Ria Patel, Sujit Tripathy, Zachary Sublett, Seoyoung An 等 2024-08-01 置信度 0.72 Computer scienceEvent (particle physics)Event dataArtificial intelligencePhysics
• A Comparative Analysis of Anomaly Detection Methods in IoT Networks: An Experimental Study
  The growth of the Internet of Things (IoT) and its integration with Industry 4.0 and 5.0 are generating new security challenges. One of the key elements of IoT systems is effective anomaly detection, which identifies abnormal behavior in devices or entire syst…
  openalex Emanuel Krzysztoń, Izabela Rojek, Dariusz Mikołajewski 2024-12-11 置信度 0.72 Anomaly detectionAnomaly (physics)Computer scienceData miningPhysics
• SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
  In this paper, we propose SpikingNeRF, which aligns the temporal dimension of spiking neural networks (SNNs) with the radiance rays, to seamlessly accommodate SNNs to the reconstruction of neural radiance fields (NeRF). Thus, the computation turns into a spike…
  openalex Xingting Yao, Qinghao Hu, Zhou, Fei, Tielong Liu 等 2023-09-20 置信度 0.72 Computer scienceGlobal illuminationComputationArtificial neural networkEnergy consumption
• Ultrathin All‐Solid‐State MoS 2 ‐Based Electrolyte Gated Synaptic Transistor with Tunable Organic–Inorganic Hybrid Film
  Abstract Electrolyte‐gated synaptic transistors (EGSTs) have attracted considerable attention as synaptic devices owing to their adjustable conductance, low power consumption, and multi‐state storage capabilities. To demonstrate high‐density EGST arrays, 2D ma…
  openalex Jungyeop Oh, Seohak Park, Sang Hun Lee, Sung-Kyu Kim 等 2024-04-02 置信度 0.72 Materials scienceElectrolyteMolybdenum disulfideChemical vapor depositionTransistor
• Biomimetic Janus MXene membrane with bidirectional ion permselectivity for enhanced osmotic effects and iontronic logic control
  Osmotic efficiency is fundamentally governed by the balance between membrane ion selectivity and permeability, a challenge central to both biological signal transmission and sustainable energy conversion. Conventional membranes are constrained to unidirectiona…
  openalex Qian Han, Hongzhao Fan, Puguang Peng, Yan Du 等 2025-09-17 置信度 0.72 MembraneJanusNanotechnologyIon channelIon transporter
• Smart Textile Optoelectronics for Human‐Interfaced Logic Systems
  Abstract Textiles with a freedom of form factor, unlimited scalability, and high programmability provide an ideal platform for constructing wearable optoelectronic systems. The emerging wearable technologies, like artificial intelligence and Internet of Things…
  openalex Hongyun Peng, Huiqiao Li, Guangming Tao, Liangjun Xia 等 2023-10-26 置信度 0.72 TextileScalabilityComputer scienceWearable computerNanotechnology
• Towards transformative innovation ecosystems: a systemic approach to responsible innovation
  To address societal challenges, innovators committed to responsibility need to find ways to break away from unsustainable, or otherwise undesirable, path-dependencies in sociotechnical regimes. Such path-breaking innovation should not come at the expense of so…
  openalex Philipp Neudert, Mareike Smolka, Stefan Böschen 2024-10-30 置信度 0.72 Transformative learningResponsible Research and InnovationBusinessKnowledge managementSociology
• Statics and dynamics of skyrmions interacting with disorder and nanostructures
  The study of skyrmions has grown as they have been realized in topologically stable spin-textured magnetic excitations. This overview treats magnetic skyrmions and skyrmion assemblies using a particle-based approach to describe a system in which the energy sca…
  openalex C. J. O. Reichhardt, C. J. O. Reichhardt, M. V. Miloševıć 2022-09-20 置信度 0.72 SkyrmionPhysicsCondensed matter physics
• Interfacial Electronic Charge Trapping and Photonic Carrier Excitation Coupling in Solution-Processed Zinc–Tin Oxide Thin-Film Transistors Applied for Logic Gate Design and Quantized Neural Network
  High Resolution Image Download MS PowerPoint Slide Components needed in Artificial Intelligence with a higher information capacity are critically needed and have garnered significant attention at the forefront of information technology. This study utilizes sol…
  openalex Pei-Hsuan Chang, Wun-Yun Lin, Ya‐Chi Huang, Yu-Chieh Chen 等 2024-12-18 置信度 0.72 Materials scienceTrappingOptoelectronicsExcitationTin
• Ferroelectric Field-Effects for Neuromorphic Hardware
  On conventional computers, the performance of AI models is limited by the data transfer between the memory and the processor. Compute-in-Memory architectures offer a new paradigm: Vector-Matrix Multiplications may be performed by a voltage drop through a matri…
  openalex Begon-Lours, Laura 2025-10-20 置信度 0.72 FerroelectricityNeuromorphic engineeringMaterials scienceOptoelectronicsCMOS
• Neuromorphic computing for radar and radio systems: a survey
  Abstract Taking inspiration from the brain on how to create energy efficient and low latency neuromorphic systems has the potential to create new opportunities with AI across many domains. Firstly, it creates a possibility to mitigate problems with too large d…
  openalex Hanna Hamrell, Thomas K. Sjögren, Hannes Ovrén 2026-04-22 置信度 0.72 Neuromorphic engineeringRadarComputer scienceEnergy (signal processing)Software-defined radio
• Physics to system-level modeling of silicon-organic-hybrid nanophotonic devices
  The continuous growth in data volume has sparked interest in silicon-organic-hybrid (SOH) nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices offer improved speed and energy efficiency compared to silicon photonics dev…
  openalex Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski, Sudip Shekhar 等 2024-05-23 置信度 0.72 Computer scienceSilicon photonicsNanophotonicsPhotonicsNeuromorphic engineering
• Real-time human-robot interaction and service provision using hybrid intelligent computing framework
  Human-robot interaction has gained significant attention in various domains, including healthcare, customer service, and industrial automation. High computational cost, inefficient service matching, and elevated failure rates in dynamic service contexts are so…
  openalex Mohammed Albekairi, Meshari D. Alanazi, Turki M. Alanazi, Mohamed Vall Ould Mohamed 等 2025-06-27 置信度 0.72 Computer scienceAutomationRobotMatching (statistics)Simulated annealing
• A materials- and devices-centric approach to neuromorphic computing
  The fundamental physics of spintronic devices makes them an excellent technology for realizing neuromorphic computing hardware. At the heart of all spintronic devices is a magnetic material that can be driven out of equilibrium with spin torques and host dynam…
  openalex Shaloo Rakheja 2024-10-27 置信度 0.72 Neuromorphic engineeringComputer scienceComputer architectureComputational scienceArtificial neural network
• Electroactive composite biofilms integrating Kombucha, Chlorella and synthetic proteinoid Proto–Brains
  In this study, we present electroactive biofilms made from a combination of Kombucha zoogleal mats and thermal proteinoids. These biofilms have potential applications in unconventional computing and robotic skin. Proteinoids are synthesized by thermally polyme…
  openalex Anna Nikolaidou, Panagiotis Mougkogiannis, Andrew Adamatzky 2024-05-01 置信度 0.72 BiofilmChlorellaChemistryComposite numberBiochemistry
• Neural Synaptic Simulation Based on ZnAlSnO Thin-Film Transistors
  In the era of artificial intelligence, neuromorphic devices that simulate brain functions have received increasingly widespread attention. In this paper, an artificial neural synapse device based on ZnAlSnO thin-film transistors was fabricated, and its electri…
  openalex Yang Zhao, Chao Wang, Laizhe Ku, Liang Guo 等 2025-09-07 置信度 0.72 Neuromorphic engineeringExcitatory postsynaptic potentialPostsynaptic potentialTransistorSynapse
• Photonic Neuromorphic Computing enabled by a BIC Metasurface
  Photonic neuromorphic computing promises revolutionary advances in parallel and high-speed processing, yet a key challenge persists: co-integrating nonlinearity, dense connectivity, and intrinsic memory monolithically to enable brain-inspired, spatiotemporal i…
  openalex Jingsong Fu, Ruiheng Jin, Zhaohui Xie, Haijun Tang 等 2026-02-26 置信度 0.72 Neuromorphic engineeringReservoir computingComputer scienceScalabilityPhotonics
• Forecasting the future: From quantum chips to neuromorphic engineering and bio-integrated processors
  Computing is at the forefront of advances in human civilization and technology. Alongside communication, it is a critical technology that often drives improvements in many other scientific fields. Over the last 60 years, computing has achieved unprecedented ad…
  openalex Botlagunta Preethish Nandan 2025-05-07 置信度 0.72 Neuromorphic engineeringComputer architectureQuantumComputer scienceSystems engineering
• A neuroscience perspective on dendrites for neuromorphic computing
  openalex Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), Frances Chance 2025-03-01 置信度 0.72 Neuromorphic engineeringPerspective (graphical)Computer scienceNeuroscienceCognitive science
• Reliable, efficient, and scalable photonic inverse design empowered by physics‐inspired deep learning
  On-chip computing metasystems composed of multilayer metamaterials have the potential to become the next-generation computing hardware endowed with light-speed processing ability and low power consumption but are hindered by current design paradigms. To date, …
  openalex Guocheng Shao, Tiankuang Zhou, Tao Yan, Yanchen Guo 等 2025-01-26 置信度 0.72 Computer scienceDeep learningScalabilityComputer engineeringMetamaterial
• Potentialities of electrochemical devices for memory and neuromorphic computing
  This chapter explores the transformative role of electrochemical devices in next-generation memory and neuromorphic computing systems. Bridging the gap between traditional energy applications and intelligent electronics, electrochemical platforms leverage ioni…
  openalex Harshita Rai, Kshitij RB Singh, Arunadevi Natarajan, Shyam S. Pandey 2025-12-15 置信度 0.72 Neuromorphic engineeringVon Neumann architectureComputer scienceLeverage (statistics)Bridging (networking)
• Variable‐Range Hopping Conduction in Amorphous, Non‐Stoichiometric Gallium Oxide
  Abstract Amorphous, non‐stoichiometric gallium oxide (a‐GaO x , x < 1.5) is a promising material for many electronic devices, such as resistive switching memories, neuromorphic circuits and photodetectors. So far, all respective measurements are interpreted wi…
  openalex Philipp Hein, Tobias Romstadt, Fabian M. Draber, Jinseok Ryu 等 2024-11-03 置信度 0.72 Variable-range hoppingMaterials scienceAmorphous solidStoichiometryRange (aeronautics)
• Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices
  Abstract Oxide-based memristors are promising candidates as neuromorphic hardware in energy-efficient edge computing applications for the Internet of Things (IoT). However, achieving simultaneously optimized memristive and synaptic performance with low-tempera…
  openalex Ziyi Yuan, Babak Bakhit, Jiahao Lu, Yi-Xuan Liu 等 2026-04-06 置信度 0.72 Neuromorphic engineeringMemristorMaterials scienceElectroformingElectrode
• Ultra‐Sensitive Negative Photoconductivity Transistors via Long‐Afterglow Doping for All‐Optical Encryption
  Abstract Negative photoconductivity (NPC)‐based devices, characterised by the light‐induced suppression of electrical conduction, have garnered significant interest for their multifunctional optoelectronic applications, fast light response and broadband spectr…
  openalex Jiangli Han, Ding Ma, Lixian Jiang, Yu Zhang 等 2025-10-25 置信度 0.72 Materials scienceOptoelectronicsPhotoconductivityDopingTransistor
• Symmetric pulse-enabled highly linear analog switching in ALD-grown HfO2/Ta2O5-based memristor for multi-level storage and synaptic applications
  Analog memristors with multilevel cells are suitable for analog in-memory and neuromorphic applications. Herein, we report a 2-bit/cell complementary-metal-oxide-semiconductor (CMOS)-compatible HfO 2 /Ta 2 O 5 bilayer memristor with both TiN electrodes fabrica…
  openalex Parthasarathi Pal, Sanjay Kumar, Themis Prodromakis 2026-03-23 置信度 0.72 Neuromorphic engineeringMemristorMaterials scienceSynaptic weightOptoelectronics
• Dynamic Reservoir Computing with Physical Neuromorphic Networks
  Reservoir Computing (RC) with physical systems requires an understanding of the underlying structure and internal dynamics of the specific physical reservoir. In this study, physical nano–electronic networks with neuromorphic dynamics are investigated for thei…
  openalex Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic 2025-06-30 置信度 0.72 Neuromorphic engineeringReservoir computingComputer scienceAttractorChaotic
• Key Concepts, Technologies, Current Challenges and Research Areas of Telecommunication Engineering and Neural Communication
  The field of telecommunication engineering has undergone remarkable progress, focusing on enhancing data transfer speed and reliability. Despite these advancements, challenges remain, particularly concerning the growing demand for bandwidth and the need for mo…
  openalex Anandakumar Haldorai 2023-01-05 置信度 0.72 TelecommunicationsKey (lock)Leverage (statistics)Computer scienceCommunications system
• Low-Power Ionically Tunable Bilayer MoS 2 Synaptic Transistors
  High Resolution Image Download MS PowerPoint Slide Electrochemical random-access memory (ECRAM) devices offer the possibility of highly linear, energy-efficient conductance modulation via electrochemical doping. This makes them attractive as synaptic weights f…
  openalex Or Levit, Emanuel Ber, Yair Keller, Boris Minkovich 等 2025-11-17 置信度 0.72 Materials scienceNeuromorphic engineeringConductanceTransistorGating
• Reconfigurable logic circuits and rectifier based on two-terminal ionic homojunctions
  Reconfigurable logic devices that can perform multiple functions with fewer components offer a solution for increasing data processing demands. Achieving reconfigurability without complex designs, however, remains challenging. In this study, we present a two-t…
  openalex Zhipeng Zhong, Xing Cheng, Wenqing Song, Qianyi Yang 等 2025-02-21 置信度 0.72 Terminal (telecommunication)Electronic circuitRectifier (neural networks)Computer scienceMaterials science
• Introducing sustainable neuromorphic computing in Engineering Mechanics
  Abstract We introduce a sustainable neuromorphic approach for numerical simulations in Engineering Mechanics. The finite element method (FEM) is widely used in engineering design; however, worldwide, there is no neuromorphic technology available in mechanics, …
  openalex Marcus Stoffel, Rutwik Gulakala, Vasileios Polydoras, Saurabh Balkrishna Tandale 2026-05-21 置信度 0.72 Neuromorphic engineeringNonlinear systemArtificial neural networkComputer scienceEnergy (signal processing)
• Highly stable two-dimensional Ruddlesden–Popper perovskite-based resistive switching memory devices
  s, and good endurance characteristics of 200 cycles. This study investigates temperature-dependent RS behaviors, elucidating the creation and annihilation of a conducting pathway in the presence of an external electric field. Additionally, the RS property of 2…
  openalex Milon Kundar, Koushik Gayen, Rajeev Ray, Dushyant Kushavah 等 2024-01-01 置信度 0.72 Perovskite (structure)Resistive random-access memoryResistive touchscreenMaterials scienceData retention
• Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
  Time series generated by chaotic dynamical systems can be effectively predicted using readouts from driven reservoir dynamics. In practical scenarios, however, only time series measurements with partial knowledge of the chaotic system's state are usually avail…
  openalex Luk Fleddermann, Sebastian Herzog, Ulrich Parlitz 2025-05-01 置信度 0.72 Reservoir computingChaoticSeries (stratigraphy)Computer scienceRobustness (evolution)
• Review of visual reconstruction methods of retina-like vision sensors
  Retina-like vision sensors have been a new development in recent years. They output an asynchronous spike or event signal by continuously sampling the scene light intensity information. This research summarizes the sampling principle of existing retina-like vi…
  openalex 林 朱, 永鸿 田 2023-03-01 置信度 0.72 RetinaComputer visionOptometryArtificial intelligenceComputer science
• Native point defects in 2D transition metal dichalcogenides: A perspective bridging intrinsic physical properties and device applications
  Two-dimensional (2D) transition metal dichalcogenides (TMDs) hold immense promise as ultrathin-body semiconductors for cutting-edge electronics and optoelectronics. In particular, their sustained charge mobility even at atomic-level thickness as well as their …
  openalex Kyungmin Ko, Mingyu Jang, Jaeeun Kwon, Joonki Suh 2024-03-08 置信度 0.72 Bridging (networking)Transition metalMaterials scienceNanotechnologyPerspective (graphical)
• Advances in AI-powered energy management systems for renewable-integrated smart grids
  The accelerating global shift toward renewable energy integration presents both a technical imperative and a systemic challenge to traditional power grid architectures. Variability, decentralization, and real-time balancing requirements have exposed the limita…
  openalex Ifeanyi Kingsley Egbuna, Faisal Benna Salihu, Chinemeremma Collins Okara, Damilola Emmanuel Olayiwola 等 2025-05-23 置信度 0.72 Renewable energySmart gridSystems engineeringEnergy managementComputer science
• Large-scale photonic processors and their applications
  Digital electronics have been essential in all technological breakthroughs over the past decades, from the advent of the internet to the miniaturization of portable devices with ever-increasing capabilities. While they continue to drive technological innovatio…
  openalex Daniel Pérez, Luis Torrijos‐Morán 2025-08-04 置信度 0.72 Scale (ratio)PhotonicsComputer scienceParallel computingOptoelectronics
• MCU Intelligent Upgrades: An Overview of AI-Enabled Low-Power Technologies
  Microcontroller units (MCUs) serve as the core components of embedded systems. In the era of smart IoT, embedded devices are increasingly deployed on mobile platforms, leading to a growing demand for low-power consumption. As a result, low-power technology for…
  openalex Tong Zhang, Ben Huang, Xiewen Liu, Jiaqi Fan 等 2025-10-01 置信度 0.72 MicrocontrollerEmbedded systemKey (lock)UpgradeComputer science
• Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
  Crossmodal perception enabled by the human somatosensory system can be followed to effectively perceive and analyze multiple sensory signals. Here, we construct an artificial crossmodal sensory neuron system by integrating pressure–temperature bimodal sensors …
  openalex Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng 等 2026-01-29 置信度 0.72 CrossmodalNeuromorphic engineeringSensory systemSomatosensory systemComputer science
• Increased Static Charge‐Induced Threshold Voltage Shifts and Memristor Activity in Pentacene OFETs Comprising Polystyrene‐Based Gate Dielectrics Containing Electroactive Small Molecule Crystallites
  Abstract Top‐contact bottom‐gate pentacene OFETs are fabricated with single layer dielectrics comprised of either polystyrene (PS), poly(4‐methylstyrene) (P4MS), or poly(4‐tert‐butylstyrene) (P4TBS). The polystyrenes are blended with varying concentrations of …
  openalex Christopher R. Bond, Daniel H. Reich, Howard E. Katz 2024-09-18 置信度 0.72 Materials sciencePentaceneOrganic field-effect transistorPolystyreneDielectric
• Quantile-based Interpretable Neural Network Models: Mortality Forecasting and Actuarial Simulations
  This paper introduces a class of quantile-based, interpretable neural network (NN) models for mortality prediction: the Lee-Carter neural network (LCNN) model, the Renshaw-Haberman neural network (RHNN) model, and the simple neural network (simpleNN) model tha…
  crossref Yang Qiao, Jinggong Zhang, Wenjun Zhu, Chou‐Wen Wang 2026-03-26T04:24:29Z 置信度 0.70
• Autonomous Cognitive Agents in a Neural Network
  crossref Subhash Kak 2026-02-13T10:27:07Z 置信度 0.70
• Asymptotic Expansions for Quantum Neural Network Operators: A Non-Commutative Voronovskaya Theorem
  We establish a complete asymptotic expansion for Quantum Neural Network Operators (QNNOs) approximating arbitrary quantum channels, providing a non-commutative analogue of the classical Voronovskaya theorem. Within a rigorous functional analytic framework, we …
  crossref Rômulo Damasclin Chaves dos Santos 2026-05-21T02:03:38Z 置信度 0.70
• A Neural Network Model of Retrieval Difficulty in Chinese Handwriting
  Chinese speakers frequently experience failures in retrieving the orthographic form of characters during handwriting, a phenomenon known as the tip-of-the-pen (TOP) state, in which the writer knows the word but cannot produce its complete written form. Empiric…
  crossref Weihao Lin, Yongqi Su, Yueran Yang, Ruiming Wang 等 2026-07-10T18:36:41Z 置信度 0.70
• Fractional Convergence of Symmetrized Neural Network Operators: A Generalized Voronovskaya-Damasclin Approach
  This paper explores the asymptotic behavior of univariate neural network operators, with an emphasis on both classical and fractional differentiation over infinite domains. The analysis leverages symmetrized and perturbed hyperbolic tangent activation function…
  crossref 2026-05-08T07:51:54Z 置信度 0.70
• Are Atoms Enough? An Explainable Graph Neural Network for Carbon Capture and Gas Separation in Metal-Organic Frameworks
  Are atoms enough to represent metal-organic frameworks (MOFs) in a graph neural network? Dominant crystal graph neural networks assume so, encoding each MOF entirely through its atoms and leaving pore space to emerge on its own. We introduce PoreGCN, a heterog…
  crossref Abdulmujeeb T. Onawole 2026-06-02T08:57:17Z 置信度 0.70
• A Multitask Graph Neural Network Framework for AMES Mutagenicity Prediction
  The process of drug screening and development is long, complex, and costly, making early and reliable assessment of toxicity a central challenge in pharmaceutical research. In this context, the ability to accurately predict drug-induced toxicity in general, an…
  crossref Abigail E Teitgen, Eugenia Ulzurrun, Nuria E Campillo, Eduardo R Hernández 2026-01-30T07:31:21Z 置信度 0.70
• SHEAR WAVE MODELLING FROM CONVENTIONAL WELL LOGS USING INTEGRATED DEEP LEARNING INTEGRATED CONVOLUTIONAL NEURAL NETWORK (I-CNN)
  Shear-wave velocity (Vs), together with compressional wave velocity, provides a crucial source of information for both geomechanical and geophysical studies. Vs data are often unavailable. Moreover, direct measurement of Vs remains relatively costly. Four mach…
  crossref Rahmat Catur Wibowo, Ida Bagus Suananda Yogi, Indra Arifianto, Muh Sarkowi 2026-07-29T20:46:00Z 置信度 0.70
• A Neural Network-Assisted Variable Step-Size NLMS Algorithm
  The traditional normalized least-mean-square (NLMS) algorithm faces an inherent trade-off between convergence rate and steady-state error, and its adaptability is limited in non-stationary environments. This paper proposes a neural network-assisted variable st…
  crossref Zhipeng Li, Yalan Guo 2026-04-13T11:38:26Z 置信度 0.70
• Randomized neural network with adaptive forward regularization for online task-free class incremental learning
  crossref Junda Wang, Minghui Hu, Ning Li, Abdulaziz Al-Ali 等 2026-05-16T06:10:57Z 置信度 0.70
• Predicting Kresling Origami Mechanics under Compression Using Simplicial Neural Network
  Kresling origami structures exhibit strongly nonlinear mechanical behaviour that is difficult to predict using reduced-order models or graph neural networks (GNNs), which are limited to pairwise interactions. This work presents the first simplicial neural netw…
  crossref Fukun Xia, Shanqing Xu, Guangsi Shi, zhipeng gao 等 2026-05-27T13:40:08Z 置信度 0.70
• A photonically linked memristive neural network
  crossref Ilia Valov, Xin Zheng 2026-01-14T10:01:52Z 置信度 0.70