Materials Science

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  1. Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy

    Apr 26, 2026William RatcliffActive LearningMaterials Science

  2. Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery

    Apr 26, 2026Mingze Li, Yu Rong, Songyou Li +16AI Agents for Scientific DiscoveryMaterials Property Prediction

  3. Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

    Apr 26, 2026Takanori Kotama, Yang HuangGraph Neural NetworksMaterials Property Prediction

  4. Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data

    Apr 24, 2026Harry Dong, Timofey Efimov, Megna Shah +4Diffusion Models for Image RestorationMaterials Science

  5. Neutron and X-ray Diffraction Reveal the Limits of Long-Range Machine Learning Potentials for Medium-Range Order in Silica Glass

    Apr 23, 2026Sai Harshit Balantrapu, Atul C. Thakur, Chris Benmore +1Machine Learning Interatomic PotentialsMaterials Science

  6. Generative Discovery of Magnetic Insulators under Competing Physical Constraints

    Apr 22, 2026Qiulin Zeng, Tahiya Chowdhury, Md Shafayat HossainMaterials ScienceCrystal Structure Generation

  7. Expanding the extreme-k dielectric materials space through physics-validated generative reasoning

    Apr 22, 2026Hossain Hridoy, Tahiya Chowdhury, Md Shafayat HossainMaterials ScienceLarge Language Model-Guided Scientific Discovery

  8. LLM-guided phase diagram construction through high-throughput experimentation

    Apr 22, 2026Ryo Tamura, Haruhiko Morito, Yuna Oikawa +7Materials ScienceLarge Language Model-Guided Scientific Discovery

  9. Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models

    Apr 21, 2026Peter Walther, Hongrui Sheng, Xinxin Liu +7AI-Assisted Scientific ResearchMaterials Science

  10. UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation

    Apr 16, 2026Kyle Lucke, Zuzanna Krajewska-Travar, Shoukun Sun +3Image SegmentationMaterials Science

  11. Reinforcement learning for inverse structural design and rapid laser cutting of kirigami prototypes

    Apr 16, 2026Milad Yazdani, Shahriar Shalileh, Dena ShahriariMaterials ScienceInverse Design

  12. Material-Agnostic Zero-Shot Thermal Inference for Metal Additive Manufacturing via a Parametric PINN Framework

    Apr 16, 2026Hyeonsu Lee, Jihoon JeongNeural Surrogate ModelingZero-Shot Learning

  13. PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers

    Apr 2, 2026Alexander Zhao, Achuth Chandrasekhar, Amir Barati FarimaniMaterials Property PredictionMaterials Science

  14. Catalyst-Agent: Autonomous heterogeneous catalyst screening with an LLM Agent

    Mar 1, 2026Achuth Chandrasekhar, Janghoon Ock, Amir Barati FarimaniLLM Agent OrchestrationMaterials Science

  15. Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models

    Feb 19, 2026Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen +2Materials ScienceNeural Network Interpretability

  16. PeroMAS: A Multi-agent System of Perovskite Material Discovery

    Feb 10, 2026Yishu Wang, Wei Liu, Yifan Li +8Multi-Agent LLM SystemsAI Agents for Scientific Discovery

  17. Predicting magnetism with first-principles AI

    Feb 9, 2026Max Geier, Liang FuMaterials Property PredictionMaterials Science

  18. Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of Hydrodynamic Diameter-controlled Cu Nanoparticles

    Dec 18, 2025Brent Motmans, Digvijay Ghogare, Thijs G. I. van Wijk +6Materials Property PredictionMaterials Science

  19. LeMat-Synth: a multi-modal toolbox to curate broad synthesis procedure databases from scientific literature

    Oct 28, 2025Magdalena Lederbauer, Siddharth Betala, Valerie Gentzke +22Document Information ExtractionMaterials Science

  20. Synthesizability Prediction of Crystalline Structures with Structure-Aware Feature Learning and Uncertainty Quantification

    Oct 22, 2025Danial Ebrahimzadeh, Sarah Sharif, Yaser Mike BanadMaterials Property PredictionMaterials Science

  21. AtomBench: A Benchmarking Framework for Generative Crystal Reconstruction Models in Conventional Superconductors

    Oct 17, 2025Charles Rhys Campbell, Aldo H. Romero, Kamal ChoudharyMaterials ScienceGenerative Modeling

  22. Interpretable Nanoporous Materials Design with Symmetry-Aware Networks

    Sep 19, 2025Zhenhao Zhou, Salman Bin Kashif, Jin-Hu Dou +4Interpretable MLMaterials Property Prediction

  23. GenShin: Guiding Rational Liposome Design by Ranking Liposomal Protein Corona through a Docking-Pose-Free GNN

    Mar 16, 2025Pingfei Zhu, Hongyi Liu, Xueyan Liu +2Graph Neural NetworksMaterials Science

  24. Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks

    Feb 21, 2025Longde Huang, Oleksandr Balabanov, Hampus Linander +3Equivariant Neural NetworksMaterials Science

  25. Accelerating battery research with an interoperable interface between FINALES and Kadi4Mat

    Date pendingGiovanna Tosato (Karlsruhe Institute of Technology), Leon Merker (Karlsruhe Institute of Technology, Helmholtz Institute Ulm +4Materials ScienceScientific Workflow Automation

  26. A Density-Matrix Framework for Electronic-Structure Analysis of Electrolytes for Lithium Batteries

    Date pendingMingkang Liu, Huize Yu, Lei ShenQuantum ChemistryMaterials Science