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• Sub-Nanometer Channels Embedded in Two-Dimensional Materials
  Two-dimensional (2D) materials are among the most promising candidates for next-generation electronics due to their atomic thinness, allowing for flexible transparent electronics and ultimate length scaling. Thus far, atomically-thin p-n junctions, metal-semic…
  arxiv Yimo Han, Ming-Yang Li, Gang-Seob Jung, Mark A. Marsalis 等 2017-07-31T14:31:34Z 置信度 0.78 cond-mat.mtrl-sci
• Magnetic Anisotropy in Two-dimensional van der Waals Magnetic Materials and Their Heterostructures: Importance, Mechanisms, and Opportunities
  Two-dimensional (2D) magnetism in atomically thin van der Waals (vdW) monolayers and heterostructures has attracted significant attention due to its promising potential for next-generation spintronic and quantum technologies. A key factor in stabilizing long-r…
  arxiv Yusheng Hou, Ruqian Wu 2025-08-07T00:34:53Z 置信度 0.78 cond-mat.mtrl-sci
• Resilience of the physicochemical properties of graphene-based materials for applications in harsh radiation environments
  The development of radiation-tolerant materials capable of maintaining structural, electrical, and thermal stability in extreme, radiation-rich environments remains a critical challenge in materials science. In this work, the effects of 60 MeV 35Cl ion irradia…
  arxiv Marcilei A. Guazzelli, Saulo G. Alberton, Nemitala Added, Vitor A. P. Aguiar 等 2026-05-25T20:05:21Z 置信度 0.78 cond-mat.mtrl-scinucl-ex
• First-principles design and subsequent synthesis of a material to search for the permanent electric dipole moment of the electron
  We describe the first-principles design and subsequent synthesis of a new material with the specific functionalities required for a solid-state-based search for the permanent electric dipole moment of the electron. We show computationally that perovskite-struc…
  arxiv K. Z. Rushchanskii, S. Kamba, V. Goian, P. Vanvek 等 2010-02-02T01:19:51Z 置信度 0.78 cond-mat.mtrl-sci
• Non-linear Hall Effects: Mechanisms and Materials
  This review presents recent breakthroughs in the realm of nonlinear Hall effects, emphasizing central theoretical foundations and recent experimental progress. We elucidate the quantum origin of the second-order Hall response, focusing on the Berry curvature d…
  arxiv Arka Bandyopadhyay, Nesta Benno Joseph, Awadhesh Narayan 2024-01-04T13:58:38Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-sci
• Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
  We present a framework for generating universal semantic embeddings of chemical elements to advance materials inference and discovery. This framework leverages ElementBERT, a domain-specific BERT-based natural language processing model trained on 1.29 million …
  arxiv Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang 等 2025-02-19T07:26:03Z 置信度 0.78 cs.CLcond-mat.mtrl-scics.LG
• A mono-material Nernst thermopile with hermaphroditic legs
  A large transverse thermoelectric response, known as anomalous Nernst effect (ANE) has been recently observed in several topological magnets. Building a thermopile employing this effect has been the subject of several recent propositions. Here, we design and b…
  arxiv Xiaokang Li, Zengwei Zhu, Kamran Behnia 2021-03-02T04:38:05Z 置信度 0.78 physics.app-phcond-mat.mtrl-scicond-mat.str-el
• Transport in two-dimensional topological materials: recent developments in experiment and theory
  We review theoretical and experimental highlights in transport in two-dimensional materials focussing on key developments over the last five years. Topological insulators are finding applications in magnetic devices, while Hall transport in doped samples and t…
  arxiv Dimitrie Culcer, Aydin Cem Keser, Yongqing Li, Grigory Tkachov 2019-07-23T15:43:53Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-scicond-mat.othercond-mat.supr-conquant-ph
• Chirality driven topological electronic structure of DNA-like materials
  Topological aspects of the geometry of DNA and similar chiral molecules have received a lot of attention, while the topology of their electronic structure is less explored. Previous experiments have revealed that DNA can efficiently filter spin-polarized elect…
  arxiv Yizhou Liu, Jiewen Xiao, Jahyun Koo, Binghai Yan 2020-08-20T10:46:51Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-sci
• Multiflavor Mott insulators in quantum materials and ultracold atoms
  Mott insulators with large and active (or multiflavor) local Hilbert spaces widely occur in quantum materials and ultracold atomic systems, and are dubbed "multiflavor Mott insulators". For these multiflavored Mott insulating materials, the spin-only descripti…
  arxiv Gang V. Chen, Congjun Wu 2021-12-05T17:25:51Z 置信度 0.78 cond-mat.str-elcond-mat.mtrl-scicond-mat.quant-gas
• Synthesis of titanate nanostructures using amorphous precursor material and their adsorption/photocatalytic properties
  This paper reports on a new and swift hydrothermal chemical route to prepare titanate nanostructures (TNS) avoiding the use of crystalline TiO2 as starting material. The synthesis approach uses a commercial solution of TiCl3 as titanium source to prepare an am…
  arxiv E. K. Ylhainen, M. R. Nunes, A. J. Silvestre, O. C. Monteiro 2012-01-17T21:48:06Z 置信度 0.78 cond-mat.mtrl-sci
• Synthesis and physical properties of Na$_x$TO$_2$ (T=Mn, Co) nanostructures for cathode materials in Na--ion batteries
  We prepared Na$_x$TO$_2$ (T = Mn, Co) nanostructures to use as cathode material in Na-ion batteries. The Rietveld refinement of x-ray diffraction data confirms the hexagonal symmetry. Scanning and transmission electron microscopy measurements show hexagonal an…
  arxiv Mahesh Chandra, Rishabh Shukla, Muhammad Rashid, Amit Gupta 等 2018-04-17T10:46:41Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hallphysics.app-ph
• Efficient Estimation of Material Property Curves and Surfaces via Active Learning
  The relationship between material properties and independent variables such as temperature, external field or time, is usually represented by a curve or surface in a multi-dimensional space. Determining such a curve or surface requires a series of experiments …
  arxiv Yuan Tian, Dezhen Xue, Ruihao Yuan, Yumei Zhou 等 2020-10-14T09:09:27Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-ph
• Contraction and expansion effects on the substitution-defect properties of thirteen alloying elements in bcc Fe
  Proposed as blanket structural materials for fusion power reactors, reduced activation ferritic/martensitic (RAFM) steel undergoes volume expanding and contracting in a cyclic mode under service environment. Particularly, being subjected to significant fluxes …
  arxiv Wei Liu, Wei-Lu Wang, C. S. Liu, Q. F. Fang 等 2010-08-18T02:56:18Z 置信度 0.78 cond-mat.mtrl-sci
• Orbital Graph Convolutional Neural Network for Material Property Prediction
  Material representations that are compatible with machine learning models play a key role in developing models that exhibit high accuracy for property prediction. Atomic orbital interactions are one of the important factors that govern the properties of crysta…
  arxiv Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami 等 2020-08-14T15:22:22Z 置信度 0.78 physics.comp-phcond-mat.mtrl-scics.LG
• Combining Electron-Phonon and Dynamical Mean-Field Theory Calculations of Correlated Materials: Transport in the Correlated Metal Sr$_2$RuO$_4$
  Electron-electron ($e$-$e$) and electron-phonon ($e$-ph) interactions are challenging to describe in correlated materials, where their joint effects govern unconventional transport, phase transitions, and superconductivity. Here we combine first-principles $e$…
  arxiv David J. Abramovitch, Jin-Jian Zhou, Jernej Mravlje, Antoine Georges 等 2023-04-13T18:30:04Z 置信度 0.78 cond-mat.mtrl-scicond-mat.str-el
• Tunable moiré materials for probing Berry physics and topology
  Berry curvature physics and quantum geometric effects have been instrumental in advancing topological condensed matter physics in recent decades. Although Landau level-based flat bands and conventional 3D solids have been pivotal in exploring rich topological …
  arxiv Pratap Chandra Adak, Subhajit Sinha, Amit Agarwal, Mandar M. Deshmukh 2024-05-14T20:56:12Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-sci
• Correlated Electron Materials and Field Effect Transistors for Logic: A Review
  Correlated electron systems are among the centerpieces of modern condensed matter sciences, where many interesting physical phenomena, such as metal-insulator transition and high-Tc superconductivity appear. Recent efforts have been focused on electrostatic do…
  arxiv You Zhou, Shriram Ramanathan 2012-12-12T01:03:18Z 置信度 0.78 cond-mat.str-elcond-mat.mtrl-scicond-mat.supr-con
• Topological Materials for Near-Field Radiative Heat Transfer
  Topological materials provide a platform that utilizes the geometric characteristics of structured materials to control the flow of waves, enabling unidirectional and protected transmission that is immune to defects or impurities. The topologically designed ph…
  arxiv Azadeh Didari-Bader, Seonyeong Kim, Heejin Choi, Sunae Seo 等 2024-06-06T08:49:57Z 置信度 0.78 physics.opticsquant-ph
• Path to stable quantum spin liquids in spin-orbit coupled correlated materials
  The spin liquid phase is one of the prominent strongly interacting topological phases of matter whose unambiguous confirmation is yet to be reached despite intensive experimental efforts on numerous candidate materials. Recently, a new family of correlated hon…
  arxiv Andrei Catuneanu, Youhei Yamaji, Gideon Wachtel, Yong Baek Kim 等 2017-01-26T19:00:14Z 置信度 0.78 cond-mat.str-el
• Fully bio-based Poly (Glycerol-Itaconic acid) as supporter for PEG based form stable phase change materials
  A novel fully bio-based Poly (Glycerol-Itaconic acid) (PGI) was designed and highly efficiently synthesized by solvent-free polycondensation. The Poly (ethylene glycol) (PEG) was used as the phase change materials (PCM) working substance and encapsulated by th…
  arxiv Guang-Zhong Yin, José Luis Díaz Palencia, De-Yi Wang 2021-09-01T17:16:56Z 置信度 0.78 physics.app-phcond-mat.mtrl-sci
• Hidden orbital polarization in diamond, silicon, germanium, gallium arsenide and layered materials
  It was previously believed that the Bloch electronic states of non-magnetic materials with inversion symmetry cannot have finite spin polarizations. However, since the seminal work by Zhang et al. [Nat. Phys. 10, 387-393 (2014)] on local spin polarizations of …
  arxiv Ji Hoon Ryoo, Cheol-Hwan Park 2016-08-21T20:00:03Z 置信度 0.78 cond-mat.mtrl-sci
• Searching for Materials with High Refractive Index and Wide Band Gap: A First-Principles High-Throughput Study
  Materials combining both a high refractive index and a wide band gap are of great interest for optoelectronic and sensor applications. However, these two properties are typically described by an inverse correlation with high refractive index appearing in small…
  arxiv Francesco Naccarato, Francesco Ricci, Jin Suntivich, Geoffroy Hautier 等 2018-09-04T10:24:59Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-phphysics.optics
• Advanced Manufacturing with Renewable and Bio-based Materials: AI/ML workflows and Process Optimization
  Advanced manufacturing with new bio-derived materials can be achieved faster and more economically with first-principle-based artificial intelligence and machine learning (AI/ML)-derived models and process optimization. Not only is this motivated by increased …
  arxiv Rigoberto Advincula, Jihua Chen 2026-01-15T13:36:30Z 置信度 0.78 cond-mat.soft
• Flat borophene films as anode materials for Mg, Na or Li-ion batteries with ultra high capacities: A first-principles study
  Most recent exciting experimental advances introduced buckled and flat borophene nanomembranes as new members to the advancing family of two-dimensional (2D) materials. Borophene, is the boron atom analogue of graphene with interesting properties suitable for …
  arxiv Bohayra Mortazavi, Obaidur Rahaman, Said Ahzi, Timon Rabczuk 2017-05-06T10:40:14Z 置信度 0.78 physics.comp-phphysics.app-ph
• Bio-Organic Materials Based Resistive Switching Memories
  Resistive switching (RS) devices, based on soft materials such as organic, biomolecules as well as natural plant extracts etc., has emerged as a promising alternative to the conventional memory technologies. They offer simple device structures, low power requi…
  arxiv Rahul Deb, Debajyoti Bhattacharjee, Syed Arshad Hussain 2025-12-11T10:48:56Z 置信度 0.78 cond-mat.mtrl-sci
• The 2D Materials Roadmap
  Over the past two decades, 2D materials have rapidly evolved into a diverse and expanding family of material platforms. Many members of this materials class have demonstrated their potential to deliver transformative impact on fundamental research and technolo…
  arxiv Wencai Ren, Peter Bøggild, Joan Redwing, Kostya Novoselov 等 2025-03-28T14:36:17Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hallphysics.comp-ph
• Proximitized Materials
  Advances in scaling down heterostructures and having an improved interface quality together with atomically-thin two-dimensional materials suggest a novel approach to systematically design materials. A given material can be transformed through proximity effect…
  arxiv Igor Zutic, Alex Matos-Abiague, Benedikt Scharf, Hanan Dery 等 2018-05-21T08:31:59Z 置信度 0.78 cond-mat.mtrl-sci
• Mining experimental data from Materials Science literature with Large Language Models: an evaluation study
  This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3.5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science. To this end, we primarily focus on two crit…
  arxiv Luca Foppiano, Guillaume Lambard, Toshiyuki Amagasa, Masashi Ishii 2024-01-19T23:00:31Z 置信度 0.78 cs.CL
• CrFe2Ge2: Investigation of novel ferromagnetic material of Fe13Ge8-type crystal
  We successfully synthesized a novel intermetallic compound $\rm CrFe_2Ge_2$ with the $\rm Fe_{13}Ge_{8}$-type crystal structure. A structural study is presented combining single-crystal X-ray diffraction and Mössbauer spectroscopy analysis, confirming the pres…
  arxiv P. L. S. Cambalame, B. J. C. Vieira, J. C. Waerenborgh, P. S. P. da Silva 等 2025-12-15T18:05:52Z 置信度 0.78 cond-mat.str-el
• Bioinspired Materials with Self-Adaptable Mechanical Properties
  Natural structural materials, such as bone and wood, can autonomously adapt their mechanical properties in response to loading to prevent failure. They smartly control the addition of material in locations of high stress by utilizing locally available resource…
  arxiv Santiago Orrego, Zhezhi Chen, Urszula Krekora, Decheng Hou 等 2019-12-12T15:24:40Z 置信度 0.78 physics.app-phcond-mat.mtrl-scicond-mat.softnlin.AO
• MSLE: An ontology for Materials Science Laboratory Equipment. Large-Scale Devices for Materials Characterization
  This paper introduces a new ontology for Materials Science Laboratory Equipment, termed MSLE. A fundamental issue with materials science laboratory (hereafter lab) equipment in the real world is that scientists work with various types of equipment with multipl…
  arxiv Mehrdad Jalali, Matthias Mail, Rossella Aversa, Christian Kübel 2023-08-07T12:39:42Z 置信度 0.78 cs.AIcond-mat.mtrl-sci
• Symbolic Learning for Material Discovery
  Discovering new materials is essential to solve challenges in climate change, sustainability and healthcare. A typical task in materials discovery is to search for a material in a database which maximises the value of a function. That function is often expensi…
  arxiv Daniel Cunnington, Flaviu Cipcigan, Rodrigo Neumann Barros Ferreira, Jonathan Booth 2023-11-30T15:56:00Z 置信度 0.78 cond-mat.mtrl-scics.LG
• Weyl, Dirac and high-fold chiral fermions in topological quantum materials
  Quantum materials hosting Weyl fermions have opened a new era of research in condensed matter physics. First proposed in 1929 in particle physics, Weyl fermions have yet to be observed as elementary particles. In 2015, Weyl fermions were detected as collective…
  arxiv M. Zahid Hasan, Guoqing Chang, Ilya Belopolski, Guang Bian 等 2021-03-02T13:40:56Z 置信度 0.78 cond-mat.mtrl-sci
• Electric Field Effect in Multilayer Cr2Ge2Te6: a Ferromagnetic Two-Dimensional Material
  The emergence of two-dimensional (2D) materials has attracted a great deal of attention due to their fascinating physical properties and potential applications for future nanoelectronic devices. Since the first isolation of graphene, a Dirac material, a large …
  arxiv Wenyu Xing, Yangyang Chen, Patrick M. Odenthal, Xiao Zhang 等 2017-04-28T09:54:06Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• Inverse orbital Hall effect and orbitronic terahertz emission observed in the materials with weak spin-orbit coupling
  The Orbital Hall effect, which originates from materials with weak spin-orbit coupling, has attracted considerable interest for spin-orbitronic applications. Here, we demonstrate the inverse effect of the orbital Hall effect and observe orbitronic terahertz em…
  arxiv Ping Wang, Zheng Feng, Yuhe Yang, Delin Zhang 等 2023-05-10T01:30:48Z 置信度 0.78 cond-mat.mes-hall
• Photostrictive materials
  Light-matter interactions that lead to nonthermal changes in size of the sample constitute a photostrictive effect in many compounds. The photostriction phenomenon was observed in four main groups of materials, ferroelectrics, polar, and non-polar semiconducto…
  arxiv B. Kundys 2015-03-05T14:26:48Z 置信度 0.78 cond-mat.mtrl-sci
• Artificial Intelligence and Generative Models for Materials Discovery -- A Review
  High throughput experimentation tools, machine learning (ML) methods, and open material databases are radically changing the way new materials are discovered. From the experimentally driven approach in the past, we are moving quickly towards the artificial int…
  arxiv Albertus Denny Handoko, Riko I Made 2025-08-05T09:56:27Z 置信度 0.78 cond-mat.mtrl-scics.AIphysics.app-ph
• Benefits of Resource Strategy for Sustainable Materials Research and Development
  Material and product life cycles are based on complex value chains of technology-specific elements. Resource strategy aspects of essential and strategic raw materials have a direct impact on applications of new functionalized materials or the development of no…
  arxiv Christoph Helbig, Christoph Kolotzek, Andrea Thorenz, Armin Reller 等 2017-03-06T12:39:20Z 置信度 0.78 cond-mat.mtrl-sci
• Quantum Batteries: A Materials Science Perspective
  In the context of quantum thermodynamics, quantum batteries have emerged as promising devices for energy storage and manipulation. Over the past decade, substantial progress has been made in understanding the fundamental properties of quantum batteries, with s…
  arxiv A. Camposeo, T. Virgili, F. Lombardi, G. Cerullo 等 2025-03-05T14:27:20Z 置信度 0.78 cond-mat.mtrl-sciphysics.app-ph
• Super Dielectric Materials
  Evidence is provided that a class of materials with dielectric constants greater than 100,000, herein called super dielectric materials (SDM), can be generated readily from common, inexpensive materials.
  arxiv Sam Fromille, Jonathan Phillips 2014-03-26T21:11:00Z 置信度 0.78 cond-mat.mtrl-sci
• A Chemical Route to Graphene for Electronics and Spintronics Device Applications
  The development of selective high precision chemical functionalization strategies for device fabrication, in conjunction with associated techniques for patterning graphene wafers with atomic accuracy would provide the necessary basis for a post-CMOS manufactur…
  arxiv Santanu Sarkar 2014-09-20T03:04:29Z 置信度 0.78 cond-mat.mtrl-sci
• Thin Film growth of Solid State materials
  Magnetron sputtering has also been used to deposit thin films of some materials and it has significant technological importance. A modeling on deposition of epitaxial thin films of Yttrium Stabilized Zirconia (YSZ) was done the diffusion of adatom on the surfa…
  arxiv A. S Bhattacharyya, P. Prabhakar, R. P. Kumar, S. Sharma 等 2016-11-17T07:22:18Z 置信度 0.78 cond-mat.mtrl-sci
• Problem-fluent models for complex decision-making in autonomous materials research
  We review our recent work in the area of autonomous materials research, highlighting the coupling of machine learning methods and models and more problem-aware modeling. We review the general Bayesian framework for closed-loop design employed by many autonomou…
  arxiv Soojung Baek, Kristofer G. Reyes 2021-03-13T19:23:40Z 置信度 0.78 cond-mat.mtrl-scics.LGstat.ML
• Hexagonal Perovskites as Quantum Materials
  Hexagonal oxide perovskites, in contrast to the more familiar perovskites, allow for face-sharing of metal-oxygen octahedra or trigonal prisms within their structural frameworks. This results in dimers, trimers, tetramers, or longer fragments of chains of face…
  arxiv Loi T. Nguyen, R. J. Cava 2020-06-10T14:45:56Z 置信度 0.78 cond-mat.str-elcond-mat.mtrl-sci
• Representations of Materials for Machine Learning
  High-throughput data generation methods and machine learning (ML) algorithms have given rise to a new era of computational materials science by learning relationships among composition, structure, and properties and by exploiting such relations for design. How…
  arxiv James Damewood, Jessica Karaguesian, Jaclyn R. Lunger, Aik Rui Tan 等 2023-01-20T22:05:54Z 置信度 0.78 cond-mat.mtrl-sci
• Phase field modeling of nonlinear material behavior
  Materials that undergo internal transformations are usually described in solid mechanics by multi-well energy functions that account for both elastic and transformational behavior. In order to separate the two effects, physicists use instead phase-field-type t…
  arxiv Yves-Patrick Pellegrini, Christophe Denoual, Lev Truskinovsky 2009-05-28T11:29:45Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• Clausius-Mossotti approximation in the theory of polar materials
  Clausius-Mossotti approximation is extended to describe the measured magnetic moment of an ellipsoidal sample containing magnetic or nonmagnetic ellipsoidal inclusions and magnetic or nonmagnetic matrix. The magnetic field in the matrix and inclusions is calcu…
  arxiv Yuri Kornyushin 2007-02-08T20:13:20Z 置信度 0.78 cond-mat.mtrl-scicond-mat.supr-con
• AIMS-EREA -- A framework for AI-accelerated Innovation of Materials for Sustainability -- for Environmental Remediation and Energy Applications
  Many environmental remediation and energy applications (conversion and storage) for sustainability need design and development of green novel materials. Discovery processes of such novel materials are time taking and cumbersome due to large number of possible …
  arxiv Sudarson Roy Pratihar, Deepesh Pai, Manaswita Nag 2023-11-18T12:35:45Z 置信度 0.78 cond-mat.mtrl-scics.AI
• Tensor-involved peridynamics: A unified framework for isotropic and anisotropic materials
  In this paper, we introduce tensor involved peridynamics, a unified framework for simulating both isotropic and anisotropic materials. While traditional peridynamics models effectively simulate isotropic materials, they face challenges with anisotropic materia…
  arxiv Hao Tian, Jinlong Shao, Chenguang Liu, Shuo Liu 等 2024-10-14T05:46:25Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-ph
• Graph Contrastive Learning for Materials
  Recent work has shown the potential of graph neural networks to efficiently predict material properties, enabling high-throughput screening of materials. Training these models, however, often requires large quantities of labelled data, obtained via costly meth…
  arxiv Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey 等 2022-11-24T04:15:47Z 置信度 0.78 cs.LGcond-mat.mtrl-sci
• Valleytronics in 2D Materials Roadmap
  Valleytronics exploits non-equivalent energy extrema in the electronic band structure of crystalline solids -- the valley degree of freedom -- to encode, manipulate, and read out information. The advent of 2D materials, first graphene and then transition-metal…
  arxiv Kyle L. Seyler, Giancarlo Soavi, Bent Weber, Sunit Das 等 2026-03-02T04:18:01Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-sci
• Data-driven materials science: status, challenges and perspectives
  Data-driven science is heralded as a new paradigm in materials science. In this field, data is the new resource, and knowledge is extracted from materials data sets that are too big or complex for traditional human reasoning - typically with the intent to disc…
  arxiv Lauri Himanen, Amber Geurts, Adam S. Foster, Patrick Rinke 2019-07-12T09:44:01Z 置信度 0.78 physics.comp-phcond-mat.mtrl-sci
• Roadmap: 2D Materials for Quantum Technologies
  Two-dimensional (2D) materials have emerged as a versatile and powerful platform for quantum technologies, offering atomic-scale control, strong quantum confinement, and seamless integration into heterogeneous device architectures. Their reduced dimensionality…
  arxiv Qimin Yan, Tongcang Li, Xingyu Gao, Sumukh Vaidya 等 2025-12-16T23:59:31Z 置信度 0.78 quant-phcond-mat.mtrl-sci
• Introduction to Engineering Materials
  This lecture presents an overview of the basic concepts and fundamentals of Engineering Materials within the framework of accelerator applications. After a short introduction, main concepts relative to the structure of matter are reviewed, like crystalline str…
  arxiv Ana Arauzo 2025-09-24T08:32:47Z 置信度 0.78 physics.acc-phcond-mat.mtrl-sci
• Half-Metallic Antiferromagnet as a Prospective Material for Spintronics
  Spintronics is expected as the next-generation technology based on the novel notch of spin degree of freedom of electrons. Half metals, a class of materials which behave as a metal in one spin direction and an insulator in the opposite spin direction, are idea…
  arxiv Xiao HU 2011-08-18T04:42:21Z 置信度 0.78 cond-mat.mtrl-scicond-mat.str-elcond-mat.supr-con
• Machine learning for materials discovery: two-dimensional topological insulators
  One of the main goals and challenges of materials discovery is to find the best candidates for each interest property or application. Machine learning rises in this context to efficiently optimize this search, exploring the immense materials space, consisting …
  arxiv Gabriel R. Schleder, Bruno Focassio, Adalberto Fazzio 2021-07-14T22:47:08Z 置信度 0.78 cond-mat.mtrl-sci
• Atomic layer deposition on particulate materials from 1988 through 2023: A quantitative review of technologies, materials and applications
  Atomic layer deposition (ALD) is widely studied for numerous applications and is commercially employed in the semiconductor industry, where planar substrates are the norm. However, the inherent ALD feature of coating virtually any surface geometry with atomist…
  arxiv Peter M. Piechulla, Mingliang Chen, Aristeidis Goulas, Riikka L. Puurunen 等 2025-06-21T14:48:04Z 置信度 0.78 cond-mat.mtrl-sciphysics.app-ph
• Bio-Based Polyether from Limonene Oxide Catalytic ROP as Green Polymeric Plasticizer for PLA
  In this work, the polymerization of Limonene Oxide (LO) has been achieved using an Earth abundant metal-based catalyst developed in our group, that is very active in ring opening polymerization (ROP) processes. The bio-based polylimonene ether (PLO) obtained h…
  arxiv Valentina Sessini, Miguel Palenzuela, Jesus Damian, Marta E. G. Mosquera 2020-12-02T16:09:32Z 置信度 0.78 cond-mat.mtrl-sci
• 2D Theoretically Twistable Material Database
  The study of twisted two-dimensional (2D) materials, where twisting layers create moiré superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene (TBG) and t…
  arxiv Yi Jiang, Urko Petralanda, Grigorii Skorupskii, Qiaoling Xu 等 2024-11-14T19:00:02Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• High-throughput calculations of magnetic topological materials
  The discoveries of intrinsically magnetic topological materials, including semimetals with a large anomalous Hall effect and axion insulators, have directed fundamental research in solid-state materials. Topological quantum chemistry has enabled the understand…
  arxiv Yuanfeng Xu, Luis Elcoro, Zhida Song, Benjamin J. Wieder 等 2020-02-28T19:00:00Z 置信度 0.78 cond-mat.mtrl-scicond-mat.str-el
• Freestanding Thin-Film Materials
  Freestanding thin films, a class of low-dimensional materials capable of maintaining structural integrity without substrates, have emerged as a forefront research focus. Their unique advantages-circumventing substrate clamping, liberating intrinsic material pr…
  arxiv Li Liu, Peixin Qin, Guojian Zhao, Zhiyuan Duan 等 2025-12-07T02:57:03Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hallcond-mat.supr-conphysics.app-ph
• Structural Chirality and Electronic Chirality in Quantum Materials
  In chemistry and biochemistry, chirality represents the structural asymmetry characterized by non-superimposable mirror images for a material like DNA. In physics, however, chirality commonly refers to the spin-momentum locking of a particle or quasiparticle i…
  arxiv Binghai Yan 2023-12-06T20:53:05Z 置信度 0.78 cond-mat.mtrl-sci
• Rheological hysteresis in soft glassy materials
  The nonlinear rheology of a soft glassy material is captured by its constitutive relation, shear stress vs shear rate, which is most generally obtained by sweeping up or down the shear rate over a finite temporal window. For a huge amount of complex fluids, th…
  arxiv Thibaut Divoux, Vincent Grenard, Sébastien Manneville 2012-07-17T11:27:01Z 置信度 0.78 cond-mat.softcond-mat.mtrl-sci
• A Review of Multi-material and Composite Parts Production by Modified Additive Manufacturing Methods
  Aside from the capability of additive manufacturing (AM) methods in fabricating components with complex geometries, two crucial potentials of this manufacturing process that are worth mentioning are its flexibility in being combined with other production metho…
  arxiv M. Toursangsaraki 2018-06-12T12:15:32Z 置信度 0.78 physics.app-phcond-mat.mtrl-sci
• High-throughput search for topological magnon materials
  Topological magnons give rise to possibilities for engineering novel spintronics devices with critical applications in quantum information and computation, due to its symmetry-protected robustness and low dissipation. However, to make reliable and systematic p…
  arxiv Mohammed J. Karaki, Ahmed E. Fahmy, Archibald J. Williams, Sara Haravifard 等 2024-10-24T16:02:59Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hallcond-mat.str-el
• Question Answering models for information extraction from perovskite materials science literature
  Scientific text is a promising source of data in materials science, with ongoing research into utilising textual data for materials discovery. In this study, we developed and tested a novel approach to extract material-property relationships from scientific pu…
  arxiv M. Sipilä, F. Mehryary, S. Pyysalo, F. Ginter 等 2024-05-24T07:24:21Z 置信度 0.78 cond-mat.mtrl-sci
• Polar octahedral rotations: a path to new multifunctional materials
  Perovskite ABO$_3$ oxides display an amazing variety of phenomena that can be altered by subtle changes in the chemistry and internal structure, making them a favorite class of materials to explore the rational design of novel properties. Here we highlight a r…
  arxiv Nicole A. Benedek, Andrew T. Mulder, Craig J. Fennie 2011-08-15T01:44:10Z 置信度 0.78 cond-mat.mtrl-sci
• Plasmonic physics of 2D crystalline materials
  Collective modes of doped two-dimensional crystalline materials, namely graphene, MoS$_2$ and phosphorene, both monolayer and bilayer structures, are explored using the density functional theory simulations together with the random phase approximation. The man…
  arxiv Zahra Torbatian, Reza Asgari 2018-02-05T07:32:03Z 置信度 0.78 cond-mat.mes-hallcond-mat.mtrl-sci
• Investigation of W-SiC compositionally graded films as a divertor material
  W-SiC composite material is a promising plasma-facing material candidate alternative to pure W due to the low neutron activation, low impurity radiation, and low tritium diffusivity of SiC while leveraging the high erosion resistance of the W armor. Additional…
  arxiv Zihan Lin, Carlos Monton, Stefan Bringuier, Gregory Sinclair 等 2023-08-30T23:08:57Z 置信度 0.78 physics.plasm-phcond-mat.mtrl-sci
• Growth of Two-dimensional Compound Materials: Controllability, Material Quality, and Growth Mechanism
  CONSPECTUS: Two-dimensional (2D) compound materials are promising materials for use in electronics, optoelectronics, flexible devices, etc. because they are ultrathin and cover a wide range of properties. Among all methods to prepare 2D materials, chemical vap…
  arxiv Lei Tang, Junyang Tan, Huiyu Nong, Bilu Liu 等 2020-12-10T07:09:29Z 置信度 0.78 cond-mat.mtrl-sci
• The structure of amorphous two-dimensional materials: Elemental monolayer amorphous carbon versus binary monolayer amorphous boron nitride
  The structure of amorphous materials has been debated since the 1930's as a binary question: amorphous materials are either Zachariasen continuous random networks (Z-CRNs) or Z-CRNs containing crystallites. It was recently demonstrated, however, that amorphous…
  arxiv Yu-Tian Zhang, Yun-Peng Wang, Xianli Zhang, Yu-Yang Zhang 等 2021-06-19T12:45:41Z 置信度 0.78 cond-mat.mtrl-sci
• Machine Learning Predictions of High-Curie-Temperature Materials
  Technologies that function at room temperature often require magnets with a high Curie temperature, $T_\mathrm{C}$, and can be improved with better materials. Discovering magnetic materials with a substantial $T_\mathrm{C}$ is challenging because of the large …
  arxiv Joshua F. Belot, Valentin Taufour, Stefano Sanvito, Gus L. W. Hart 2023-07-13T16:28:57Z 置信度 0.78 cond-mat.mtrl-sci
• From Materials Database to Materials Bank: Assetizing Data for AI Driven Materials Innovation
  Driven by high-throughput experimentation, computational modeling, and artificial intelligence (AI), materials data has expanded at an unprecedented rate. Conventional materials databases function only as passive repositories, archiving raw experimental record…
  arxiv Chenyao Ma, Di Zhang, Weibo Gong, Wei Du 等 2026-06-30T08:58:52Z 置信度 0.78 cond-mat.mtrl-scics.AIphysics.chem-ph
• Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes
  This paper systematically reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine learning methods are developing rapidly in polymer material research; although they have si…
  arxiv Hongtao Guo Shuai Li Shu Li 2025-10-30T03:26:04Z 置信度 0.78 cond-mat.mtrl-sci
• Theoretical realization of Mo2P, a novel stable 2D material with superionic conductivity and attractive optical properties
  Mo2P as a new member of the advancing two-dimensional (2D) materials family has been theoretically identified in this study. We conducted extensive density functional theory calculations to explore the crystal structure, dynamical stability, mechanical respons…
  arxiv Bohayra Mortazavi, Masoud Shahrokhi, Meysam Makaremi, Timon Rabczuk 2017-09-09T18:02:13Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-ph
• New magnetic topological materials from high-throughput search
  We conducted a high-throughput search for topological magnetic materials on 522 new, experimentally reported commensurate magnetic structures from MAGNDATA, doubling the number of available materials on the Topological Magnetic Materials database. This brings …
  arxiv Iñigo Robredo, Yuanfeng Xu, Yi Jiang, Claudia Felser 等 2024-08-29T18:34:20Z 置信度 0.78 cond-mat.mtrl-sci
• Catalogue of chiral phonon materials
  Chiral phonons, circularly polarized lattice vibrations carrying intrinsic angular momentum, offer unprecedented opportunities for controlling heat flow, manipulating quantum states through spin-phonon coupling, and realizing exotic transport phenomena. Despit…
  arxiv Yue Yang, Zhenyu Xiao, Yu Mao, Zhanghuan Li 等 2025-06-16T17:26:28Z 置信度 0.78 cond-mat.mtrl-scicond-mat.str-elcond-mat.supr-con
• Materials for Future Calorimeters
  Future HEP experiments present stringent challenges to calorimeter materials in radiation tolerance, time response and project cost. The 2019 report of the DOE Basic Research Needs Study on High Energy Physics Detector Research and Development points out three…
  arxiv Minfang Yeh, Ren-Yuan Zhu 2022-03-14T14:56:53Z 置信度 0.78 physics.ins-dethep-ex
• Materials Expert-Artificial Intelligence for Materials Discovery
  The advent of material databases provides an unprecedented opportunity to uncover predictive descriptors for emergent material properties from vast data space. However, common reliance on high-throughput ab initio data necessarily inherits limitations of such …
  arxiv Yanjun Liu, Milena Jovanovic, Krishnanand Mallayya, Wesley J. Maddox 等 2023-12-05T14:29:18Z 置信度 0.78 cond-mat.mtrl-scicond-mat.str-elcs.LGphysics.data-an
• Materials Discovery of Stable and Nontoxic Halide Perovskite Materials for High-Efficiency Solar Cells
  Two critical limitations of organic-inorganic lead halide perovskite materials for solar cells are their poor stability in humid environments and inclusion of toxic lead. In this study, high-throughput density functional theory (DFT) methods are used to comput…
  arxiv Ryan Jacobs, Guangfu Luo, Dane Morgan 2019-04-11T13:47:56Z 置信度 0.78 cond-mat.mtrl-sci
• Computation and data driven discovery of topological phononic materials
  The discovery of topological quantum states marks a new chapter in both condensed matter physics and materials sciences. By analogy to spin electronic system, topological concepts have been extended into phonons, boosting the birth of topological phononics (TP…
  arxiv Jiangxu Li, Jiaxi Liu, Stanley A. Baronett, Ronghan Li 等 2020-06-01T04:20:53Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• Dirac and Weyl Materials: Fundamental Aspects and Some Spintronics Applications
  Dirac and Weyl materials refer to a class of solid materials which host low-energy quasiparticle excitations that can be described by the Dirac and Weyl equations in relativistic quantum mechanics. Starting with the advent of graphene as the first prominent ex…
  arxiv Shengyuan A. Yang 2016-09-21T09:58:07Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
  Developing accurate, transferable and computationally inexpensive machine learning models can rapidly accelerate the discovery and development of new materials. Some of the major challenges involved in developing such models are, (i) limited availability of ma…
  arxiv Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar 等 2018-11-14T06:13:29Z 置信度 0.78 cs.LGcond-mat.mtrl-scistat.ML
• Recent Developments in Computer Modeling of Amorphous Materials
  In this paper, we review some recent work on amorphous materials using current "first principles" electronic structure/molecular dynamics techniques. The main theme of the paper is to emphasize new directions in the use of such ab initio methods. Some of these…
  arxiv D. A. Drabold, P. Biswas, D. Tafen, R. Atta-Fynn 2003-12-23T15:00:05Z 置信度 0.78 cond-mat.dis-nncond-mat.mtrl-sci
• A Data Ecosystem to Support Machine Learning in Materials Science
  Facilitating the application of machine learning to materials science problems will require enhancing the data ecosystem to enable discovery and collection of data from many sources, automated dissemination of new data across the ecosystem, and the connecting …
  arxiv Ben Blaiszik, Logan Ward, Marcus Schwarting, Jonathon Gaff 等 2019-04-23T17:02:08Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-ph
• Superconducting Materials for Microwave Kinetic Inductance Detectors
  The superconducting materials that make up an MKID have a significant effect on its performance. The $T_\textrm{c}$ and normal state resistivity $ρ_\textrm{N}$ of the film determine the penetration depth $λ$ and therefore how much kinetic inductance it has. Th…
  arxiv Benjamin A. Mazin 2020-04-29T00:55:13Z 置信度 0.78 astro-ph.IMcond-mat.mtrl-scicond-mat.supr-con
• Fine-Tuned Machine-Learned Interatomic Potentials for Structural and Vibrational Properties of Twisted 2D Materials
  Twisted van der Waals bilayers form moiré superlattices whose structural and vibrational properties are highly sensitive to variations in local stacking registry and the degree of atomic reconstruction, yet accurate atomistic modeling of these systems at the D…
  arxiv Viet-Anh Tran, Viet-Hung Nguyen, Wei Chen, Gian-Marco Rignanese 等 2026-06-20T21:29:02Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• CrysXPP:An Explainable Property Predictor for Crystalline Materials
  We present a deep-learning framework, CrysXPP, to allow rapid prediction of electronic, magnetic and elastic properties of a wide range of materials with reasonable precision. Although our work is consistent with several recent attempts to build deep learning-…
  arxiv Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee 等 2021-04-22T05:11:26Z 置信度 0.78 cond-mat.mtrl-sciphysics.comp-ph
• Implementation of an Innovative Bio Inspired GA and PSO Algorithm for Controller design considering Steam GT Dynamics
  The Application of Bio Inspired Algorithms to complicated Power System Stability Problems has recently attracted the researchers in the field of Artificial Intelligence. Low frequency oscillations after a disturbance in a Power system, if not sufficiently damp…
  arxiv R. Shivakumar, R. Lakshmipathi 2010-02-05T10:27:13Z 置信度 0.78 cs.NE
• Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials
  Topological materials present unconventional electronic properties that make them attractive for both basic science and next-generation technological applications. The majority of currently known topological materials have been discovered using methods that in…
  arxiv Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po 等 2022-02-10T18:57:17Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hallcs.LG
• The Role of Oxygen in Ionic Liquid Gating on 2D Cr2Ge2Te6: a Non-Oxide Material
  Ionic liquid gating can markedly modulate the materials' carrier density so as to induce metallization, superconductivity, and quantum phase transitions. One of the main issues is whether the mechanism of ionic liquid gating is an electrostatic field effect or…
  arxiv Yangyang Chen, Wenyu Xing, Xirui Wang, Bowen Shen 等 2017-12-22T02:18:02Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• Roadmap on Quantum Magnetic Materials
  Fundamental research on two-dimensional (2D) magnetic systems based on van der Waals materials has been gaining traction rapidly since their recent discovery. With the increase of recent knowledge, it has become clear that such materials have also a strong pot…
  arxiv Antonija Grubišić-Čabo, Marcos H. D. Guimarães, Dmytro Afanasiev, Jose H. Garcia Aguilar 等 2024-12-23T22:32:10Z 置信度 0.78 cond-mat.mtrl-scicond-mat.mes-hall
• BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials
  The study of biological materials and bio-inspired materials science is well established; however, surprisingly little knowledge has been systematically translated to engineering solutions. To accelerate discovery and guide insights, an open-source autoregress…
  arxiv Rachel K. Luu, Markus J. Buehler 2023-09-15T22:12:44Z 置信度 0.78 cond-mat.mtrl-scicond-mat.dis-nncond-mat.softcs.LGnlin.AO
• Developing Structural, High-heat flux and Plasma Facing Materials for a near-term DEMO Fusion Power Plant: the EU Assessment
  The findings of the EU 'Materials Assessment Group' (MAG), within the 2012 EU Fusion Roadmap exercise, are discussed. MAG analysed the technological readiness of structural, plasma facing and high heat flux materials for a DEMO concept to be constructed in the…
  arxiv D. Stork, P. Agostini, J-L. Boutard, D. Buckthorpe 等 2014-08-14T13:36:02Z 置信度 0.78 physics.ins-det
• Design of battery materials via defects and doping
  This chapter illustrates the use of defect physics as a conceptual and theoretical framework for understanding and designing battery materials. It starts with a methodology for first-principles studies of defects in complex transition-metal oxides. The chapter…
  arxiv Khang Hoang 2022-11-09T15:47:39Z 置信度 0.78 cond-mat.mtrl-sci
• Hydrolytic degradation of ROMP thermosetting materials catalysed by bio-derived acids and enzyme: from network to linear materials
  This paper reports the first example of the degradable ROMP thermosetting materials catalysed by bio-derived acids and cutinase from Thermobifida cellulosilytica (Thc_Cut1). The ROMP thermosetting materials are based on norbornene dicarboximides containing ace…
  arxiv S. Hou, D. M. Hoyle, E. Khosravi, C. J. Blackwell 等 2016-03-10T16:35:11Z 置信度 0.78 cond-mat.mtrl-scicond-mat.soft
• Breakdown of Heterogeneous Materials
  We discuss the threshold activated extremal dynamics that is prevalent in the breakdown processes in heterogeneous materials. We model such systems by an elastic spring network with random breaking thresholds assigned to the springs. Results are obtained from …
  arxiv Purusattam Ray 2005-03-18T10:39:07Z 置信度 0.78 cond-mat.stat-mechcond-mat.mtrl-sci
• - Bio-Based and Bio-Inspired Cellular Materials
  crossref 2015-10-07T21:34:37Z 置信度 0.70
• Performance of the bio-based materials
  crossref 2017-07-15T19:26:08Z 置信度 0.70