#Materials Science
Latest news articles tagged with "Materials Science". Follow the timeline of events, related topics, and entities.
Articles (9)
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🇺🇸 Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data
[USA]
arXiv:2604.06230v1 Announce Type: cross Abstract: The reuse of atomistic simulation data is often limited by heterogeneous formats, incomplete metadata, and a lack of standardized representations of ...
Related: #Scientific Computing, #Data Interoperability -
🇺🇸 Corning stock hits all-time high at 162.12 USD
[USA]
Related: #Stock Market Performance, #Technology Sector
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🇺🇸 From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery
[USA]
arXiv:2603.11068v1 Announce Type: cross Abstract: Discovering high-entropy alloy (HEA) compositions that reliably form a target crystal phase is a high-dimensional inverse design problem that convent...
Related: #AI Framework -
🇺🇸 Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials
[USA]
arXiv:2603.12183v1 Announce Type: cross Abstract: Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show th...
Related: #AI Safety -
🇺🇸 Offline Materials Optimization with CliqueFlowmer
[USA]
arXiv:2603.06082v1 Announce Type: new Abstract: Recent advances in deep learning inspired neural network-based approaches to computational materials discovery (CMD). A plethora of problems in this fi...
Related: #Computational Optimization -
🇺🇸 Escaping the Hydrolysis Trap: An Agentic Workflow for Inverse Design of Durable Photocatalytic Covalent Organic Frameworks
[USA]
arXiv:2603.05188v1 Announce Type: cross Abstract: Covalent organic frameworks (COFs) are promising photocatalysts for solar hydrogen production, yet the most electronically favorable linkages, imines...
Related: #Photocatalysis -
🇺🇸 Universal Fine-Grained Symmetry Inference and Enforcement for Rigorous Crystal Structure Prediction
[USA]
arXiv:2602.17176v1 Announce Type: cross Abstract: Crystal structure prediction (CSP), which aims to predict the three-dimensional atomic arrangement of a crystal from its composition, is central to m...
Related: #Artificial Intelligence, #Computational Physics, #Crystallography, #Generative Modeling -
🇺🇸 MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
[USA]
arXiv:2602.07543v1 Announce Type: new Abstract: Material synthesis planning (MSP) remains a fundamental and underexplored bottleneck in AI-driven materials discovery, as it requires not only identify...
Related: #Artificial Intelligence, #Chemical Engineering -
🇺🇸 Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features
[USA]
arXiv:2501.18064v2 Announce Type: replace-cross Abstract: To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced r...
Related: #Machine Learning, #Additive Manufacturing
Key Entities (3)
- Corning (1 news)
- New York Stock Exchange (1 news)
- Gorilla Glass (1 news)
About the topic: Materials Science
The topic "Materials Science" aggregates 9+ news articles from various countries.