arXiv cond-mat.mtrl-sci
Materials Science daily digest.
29 past editions, oldest first by date. Atom feed → · all categories
01 — Past editions
most recent first- 2026-09-10 uFlowCSP: Crystal Structure Prediction using Mean flow generative models 1 papers · No. 111
- 2026-09-02 Autonomous discovery of new structure-plausibility laws for explainable and... 2 papers · No. 103
- 2026-08-30 Data-efficient crack quantification in lithium-ion cathodes using foundation... 1 papers · No. 100
- 2026-08-29 Data-efficient crack quantification in lithium-ion cathodes using foundation... 1 papers · No. 99
- 2026-08-28 Data-efficient crack quantification in lithium-ion cathodes using foundation... 1 papers · No. 98
- 2026-08-27 A Hierarchical Synergistic Deep Learning Framework Integrating Composition,... 1 papers · No. 97
- 2026-08-23 Composition-Driven Phase Evolution in Sm-Doped BiFeO3 via Latent-Field... 1 papers · No. 93
- 2026-08-22 Composition-Driven Phase Evolution in Sm-Doped BiFeO3 via Latent-Field... 1 papers · No. 92
- 2026-08-21 Composition-Driven Phase Evolution in Sm-Doped BiFeO3 via Latent-Field... 1 papers · No. 91
- 2026-08-20 A single design choice determines whether machine learning models of... 1 papers · No. 90
- 2026-08-17 Universal Thermodynamic Interatomic Potentials for Crystalline Materials 2 papers · No. 87
- 2026-08-10 DynaCrys: Crystal Generation with Dynamic Space-Group Diffusion 1 papers · No. 80
- 2026-08-03 Ordered-to-disordered transfer learning with graph neural networks for... 1 papers · No. 73
- 2026-07-30 PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories 1 papers · No. 69
- 2026-07-28 Catalyst Diffusion Transformer: Generative Inverse Design of Heterogeneous Catalysts 2 papers · No. 67
- 2026-07-22 ATLAS: A Foundation Neural Sampler for Amorphous Materials 2 papers · No. 61
- 2026-07-21 Chemical filters for ultra-high-throughput materials screening and generation 1 papers · No. 60
- 2026-07-20 exa-PD: A scalable high-performance workflow for multi-element phase diagram... 1 papers · No. 59
- 2026-07-09 Bayesian Optimization of Genetic Algorithm Hyperparameters in a... 1 papers · No. 48
- 2026-07-08 From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins... 1 papers · No. 47
- 2026-07-01 From Materials Database to Materials Bank: Assetizing Data for AI Driven... 1 papers · No. 40
- 2026-06-18 AdsMind: A Physics-Grounded Multi-Agent System for Self-Correcting Discovery... 1 papers · No. 27
- 2026-06-15 XRDiff: Crystal Structure Prediction from Powder X-Ray Diffraction Data... 1 papers · No. 24
- 2026-06-11 Modelling magnetic material properties with uncertainty-aware neural networks 1 papers · No. 20
- 2026-06-09 Context-Aware Deep Learning for Defect Classification in Atomic-Resolution STEM 1 papers · No. 18
- 2026-06-08 Reactivity-Informed Machine Learning for Performance Prediction and Design... 1 papers · No. 17
- 2026-06-02 Towards Automated Discovery: A Review of Generative Models, Multimodal... 1 papers · No. 13
- 2026-05-30 What drives performance in molecular MPNNs? An operator-level factorial benchmark 1 papers · No. 12
- 2026-05-27 MatFormBench: A Benchmarking Evaluation Framework for Target-Driven... 1 papers · No. 10
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