Materials Science

Ask about this topic

Momentum

11 papers in the last four weeks, down 8% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 176

All topics
CardsList

  1. De novo molecular generation with optical property preconditioning at the token level

    Jun 6, 2026Haozhe Huang, Manuel Gonzalez Lastre, Hyun Suk Park +3Materials ScienceMolecular Generation

    Department of Computer Science, University of Toronto, 40 St George St., Toronto, ON M5S 2E4, Canada · 2Vector Institute for Artificial Intelligence, W1140-108 College St., Schwartz Reisman Innovation Campus, Toronto, ON M5G 0C6, Canada · 3Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, 28049, Madrid, Spain. +6

  2. Property-Informed Diffusion-Based Text-to-Microstructure Generation

    Jun 6, 2026Bingxuan Dai, Hongsong Wang, Jie GuiMaterials ScienceConditional Diffusion Models

    School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China · School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China +2

  3. Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification

    Jun 5, 2026Sara Shojaei, Seyed Mohamad Ali Tousi, Emma Bennett +6Hybrid Quantum-Classical MLMaterials Science

    University of Missouri–Columbia, MO, USA · Saint Louis University, MO, USA

  4. Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying

    Jun 5, 2026Abhijeet Praveen, Sareh Soleimani, Cormac Cureton +4Materials ScienceVideo Prediction

    Department of Electrical and Computer Engineering, McGill University, Montreal, QC H2X 2G6, Canada · Mila – Quebec AI Institute, Montreal, QC H2S 3H1, Canada · National Research Council of Canada, Boucherville, QC J4B 6G4, Canada

  5. A physical adaptive material motor unit neural network: a hygromorph composite material machine

    Jun 5, 2026Charles de Kergariou, David Correa, Adam W. Perriman +2Materials ScienceAdaptive Learning

    Bristol Composites Institute, School of Civil, Aerospace and Mechanical Engineering, University of Bristol, University Walk, Bristol BS8 1TR, United Kingdom · School of Architecture, University of Waterloo, 7 Melville Street South, Cambridge, Ontario, N1S 2H4, Canada · Research School of Chemistry and John Curtin School of Medical Research, Australian National University, Canberra ACT2601, Australia +2

  6. Reactivity-Informed Machine Learning for Performance Prediction and Design Space Exploration of Alkali-Activated Slag

    Jun 4, 2026Qiyao He, Zhanzhao Li, Kai GongMaterials Property PredictionMaterials Science

    Department of Civil and Environmental Engineering, Rice University, Houston, Texas 77005, United States. · Rice Advanced Materials Institute, Rice University, Houston, Texas 77005, United States · Ken Kennedy Institute, Rice University, Houston, Texas 77005, United States

  7. Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy

    Jun 4, 2026Roshni Mahtani, Ilán Carretero, Laura Monroy +3Multi-Scale Feature FusionMaterials Science

    Instituto Universitario de Investigaci´on e Innovaci´on en Tecnolog´ıa Centarada en el Ser Humano, HumanTech, Universitat Polit`ecnica de Val`encia, Valencia, Spain · Department of Electronic Technology, Universidad Carlos III de Madrid, Legan´es, Spain · Artikode Intelligence S.L., Valencia, Spain

  8. Wave Focusing in Metamaterials: Tactile Displays Beyond the Diffraction Limit

    Jun 4, 2026Gregory Reardon, Max Linnander, Dustin Goetz +2Haptic FeedbackMaterials Science

    1Media Arts and3DepartmentTechnologyof ElectricalProgram, 2Departmentand ComputerofEngineering,Mechanical Engineering, 4University of California, Santa Barbara, USA. · 2Departmentand ComputerofEngineering,Mechanical Engineering, 4University of California, Santa Barbara, USA. · 3DepartmentTechnologyof ElectricalProgram, 2Departmentand ComputerofEngineering,Mechanical Engineering, 4University of California, Santa Barbara, USA.

  9. Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin

    Jun 3, 2026Zhilong Song, Zongmin Zhang, Lixue ChengMaterials ScienceDigital Twins

    Department of Chemistry, Hong Kong University of Science and Technology, Kowloon, Hong Kong 999077, China · IAS Center for AI for Scientific Discoveries, Hong Kong University of Science and Technology, Kowloon, Hong Kong 999077, China · Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong 999077, China +1

  10. Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics

    Jun 1, 2026Marah Almanasreh, Alexander Mitsos, Eike CramerNeural Surrogate ModelingMaterials Science

    RWTH Aachen University, Process Systems Engineering (AVT.SVT), 52074 Aachen, Germany · JARA-CSD, 52425 Jülich, Germany · Energy Systems Engineering (ICE-1), Forschungszentrum Jülich, 52425 Jülich, Germany +1

  11. Topological texture analysis of microscopy images of dynamic casein gelation and its relation to rheological properties

    Jun 1, 2026Zahra Tabatabaei, Diana Soto Aguilar, Jose C. Bonilla +2Materials ScienceMicroscopy Image Analysis

    Department of Computer Science, University of Copenhagen, Denmark. · Department of Green Technology, University of Southern Denmark, Denmark. · Department of Food Science, University of Copenhagen, Denmark.

  12. Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach

    May 31, 2026An Vuong, Minh-Hao Van, Chen Zhao +1Materials Property PredictionMaterials Science

    University of Arkansas · Baylor University

  13. Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures

    May 31, 2026Matthias Brändel, Oliver RheinbachNeural Surrogate ModelingHyperelasticity

    Technische Universität Bergakademie Freiberg, Institut für Numerische Mathematik und Optimierung, Fakultät für Mathematik und Informatik, 09596 Freiberg, Germany.

  14. Benchmark Dataset for Catalysis on 2D MXenes

    May 30, 2026Pavlo Melnyk, Anmar Karmush, Mårten Wadenbäck +4Machine Learning Interatomic PotentialsBenchmark Design

    Computer Vision and Learning Systems, Department of Electrical Engineering (ISY) & AI4X, Linköping University (LiU), 58183 Linköping, Sweden. · Materials Design Division, Department of Physics, Chemistry and Biology (IFM), and Wallenberg Initiative Materials Science for Sustainability (WISE); Linköping University (LiU), 58183 Linköping, Sweden. · Wallenberg Initiative Materials Science for Sustainability (WISE); Linköping University (LiU), 58183 Linköping, Sweden.

  15. Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials

    May 29, 2026Edward W. Staley, Tom Arbaugh, Michael Pekala +6Materials ScienceLarge Language Model-Guided Scientific Discovery

    Johns Hopkins Applied Physics Laboratory, Laurel, MD 20723 · Johns Hopkins University, Baltimore, MD 21218

  16. Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression

    May 29, 2026Federico Califano, Jacopo CiambellaMaterials ScienceComputational Materials Science

  17. AI-Guided Design and Optimization of Graphite-Based Anodes via Iterative Experimental Feedback

    May 29, 2026Qian Du, Mark M. Sullivan, James E. Saal +1Surrogate-Assisted OptimizationMaterials Science

    hte GmbH, Kurpfalzring 104, 69123 Heidelberg, Germany · Citrine Informatics, 2629 Broadway St., Redwood City, CA 94063, USA

  18. A Padding Method for Enhanced Encoding of Inorganic Structures with Varying Chemical Compositions

    May 29, 2026Thang Dang, Haderbache Amir, Tzanakakis Alexandros +1Representation LearningMaterials Science

    Fujitsu Limited, Japan · National Technical University of Athens, Greece

  19. OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields

    May 28, 2026Wanhao Liu, Jiaqing Xie, Qian Tan +10Benchmark DesignScientific QA

    University of Science and Technology of China · Shanghai Artificial Intelligence Laboratory · Fudan University +4

  20. Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina

    May 28, 2026Julian Schmid, Pawel Astankow, Tom Vater +3Materials ScienceExplainable Image Classification

    CeramTec GmbH, CeramTec-Platz 1–9, 73207 Plochingen, Germany · CeramTec

  21. From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals

    May 28, 2026Yeyong Yu, Wenya Hu, Xing Wu +1LLM EvaluationPairwise Preference Evaluation

    School of Computer Engineering & Science, Shanghai University, Shanghai, 200444, China. · Center of Materials Informatics and Data Science, Materials Genome2026 Institute, Shanghai University, Shanghai, 200444, China. · Key Laboratory of Silicate Cultural Relics Conservation (Shanghai University), Ministry of Education, China. +1

  22. CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials

    May 28, 2026Chengliang Xu, Xiaogang Li, Peiyao Xiao +3VLM EvaluationMaterials Science

    Alibaba Group, Beijing, China

  23. Mixing Vector Model for Copolymer Inference via Mixed Integer Linear Programming

    May 28, 2026Jianshen Zhu, Raveena Rai, Taiyo Sohkawa +4Molecular OptimizationMaterials Property Prediction

    Department of Information Science and Technology, Tokyo University of Science, Noda 278-8510, Japan · Discrete Mathematics and Computational Intelligence Laboratory, Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan · Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan +3

  24. Sustainable Metal-Organic Framework Water Harvesters in the Artificial Intelligence Era

    May 27, 2026Reid A. Coyle, Shyam Chand Pal, Peter Walther +3Materials Science

    Department of Chemistry, Washington University, St. Louis, MO 63130, United States. · Institute of Materials Science & Engineering, Washington University, St. Louis, MO 63130, United States.

  25. Thermodynamic properties of chemically disordered compounds via AI-driven estimation of partition function with the PULSE method

    May 27, 2026Baptiste Bernard, Luca Messina, Eiji Kawasaki +1Materials Property PredictionMaterials Science

    aCEA DES IRESNE DEC Cadarache F-13108 Saint-Paul-Lez-Durance France · bUniversite Paris-Saclay CEA LIST F-91120 Palaiseau France

  26. ProvMind: Provenance-grounded reasoning for materials synthesis

    May 27, 2026Yiming Zhang, Ryo Tamura, Koji TsudaReasoning EvaluationMaterials Science

    Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan. · Center for Basic Research on Materials, National Institute for Materials Science, Tsukuba, Ibaraki, Japan. · RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.

  27. On the Equivariant Learning of the QQ-tensor Order Parameter

    May 26, 2026Julia Navarro, Mark WilkinsonEquivariant Neural NetworksMaterials Science

    Nottingham Trent University, UK · Berea College, USA

  28. MatFormBench: A Benchmarking Evaluation Framework for Target-Driven Materials Formulation

    May 26, 2026Linhan Wu, Chenxi Wang, Chuhan Yang +2Benchmark DesignBlack-Box Optimization

    DeepVerse

  29. DGLD: Domain-Gated Latent Diffusion for the Discovery of Novel Energetic Materials

    May 26, 2026Yehudit Aperstein, Alexander ApartsinMolecular OptimizationLatent Diffusion Models

    Department of Intelligent Systems, Afeka Tel-Aviv College of Engineering, Israel. · School of Computer Science, Faculty of Sciences, HIT-Holon Institute of Technology, Israel.

  30. PRISM: Position-encoded Regressive Inverse Spectral Model for Multilayer Thin-Film Design

    May 26, 2026Runtian Wang, Renhao Xue, Baige Chen +1TransformerMaterials Science

    Independent Researcher · Amazon