PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Schlesinger, Claire, Hsu, Circe, Schindler, Peter, Walters, Robin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties
by: Hsu, Circe, et al.
Published: (2025)
by: Hsu, Circe, et al.
Published: (2025)
MatrixNet: Learning over symmetry groups using learned group representations
by: Laird, Lucas, et al.
Published: (2025)
by: Laird, Lucas, et al.
Published: (2025)
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials - A review
by: Nematov, Dilshod, et al.
Published: (2025)
by: Nematov, Dilshod, et al.
Published: (2025)
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024)
by: Yang, Sherry, et al.
Published: (2024)
TopoMAS: Large Language Model Driven Topological Materials Multiagent System
by: Zhang, Baohua, et al.
Published: (2025)
by: Zhang, Baohua, et al.
Published: (2025)
MatFormBench: A Benchmarking Evaluation Framework for Target-Driven Materials Formulation
by: Wu, Linhan, et al.
Published: (2026)
by: Wu, Linhan, et al.
Published: (2026)
Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
by: Lambard, Guillaume
Published: (2026)
by: Lambard, Guillaume
Published: (2026)
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
by: Li, Zhixun, et al.
Published: (2025)
by: Li, Zhixun, et al.
Published: (2025)
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
by: Xu, Haosheng, et al.
Published: (2025)
by: Xu, Haosheng, et al.
Published: (2025)
A Generation Framework with Strict Constraints for Crystal Materials Design
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials
by: Adrar, Fayçal, et al.
Published: (2026)
by: Adrar, Fayçal, et al.
Published: (2026)
From Text to Test: AI-Generated Control Software for Materials Science Instruments
by: Fébba, Davi M, et al.
Published: (2024)
by: Fébba, Davi M, et al.
Published: (2024)
Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
by: Cao, Bin, et al.
Published: (2025)
by: Cao, Bin, et al.
Published: (2025)
LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
by: Scientists, AI, et al.
Published: (2026)
by: Scientists, AI, et al.
Published: (2026)
Equivariant Graph Neural Networks for Prediction of Tensor Material Properties of Crystals
by: Heilman, Alex, et al.
Published: (2024)
by: Heilman, Alex, et al.
Published: (2024)
Towards Agentic Intelligence for Materials Science
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
An Agentic Framework for Autonomous Materials Computation
by: Xia, Zeyu, et al.
Published: (2025)
by: Xia, Zeyu, et al.
Published: (2025)
Sustainable Materials Discovery in the Era of Artificial Intelligence
by: Mannan, Sajid, et al.
Published: (2026)
by: Mannan, Sajid, et al.
Published: (2026)
Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence
by: Zhang, Shiyun, et al.
Published: (2026)
by: Zhang, Shiyun, et al.
Published: (2026)
Artificial Intelligence in Concrete Materials: A Scientometric View
by: Li, Zhanzhao, et al.
Published: (2022)
by: Li, Zhanzhao, et al.
Published: (2022)
"DIVE" into Hydrogen Storage Materials Discovery with AI Agents
by: Zhang, Di, et al.
Published: (2025)
by: Zhang, Di, et al.
Published: (2025)
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks
by: Zhou, Zhenhao, et al.
Published: (2025)
by: Zhou, Zhenhao, et al.
Published: (2025)
Artificial Intelligence and Generative Models for Materials Discovery -- A Review
by: Handoko, Albertus Denny, et al.
Published: (2025)
by: Handoko, Albertus Denny, et al.
Published: (2025)
Vector Field Oriented Diffusion Model for Crystal Material Generation
by: Klipfel, Astrid, et al.
Published: (2023)
by: Klipfel, Astrid, et al.
Published: (2023)
Symmetry-Driven Generation of Crystal Structures from Composition
by: Yin, Shi, et al.
Published: (2026)
by: Yin, Shi, et al.
Published: (2026)
AI-Driven Expansion and Application of the Alexandria Database
by: Cavignac, Théo, et al.
Published: (2025)
by: Cavignac, Théo, et al.
Published: (2025)
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
by: Ihsan, Ahmad Zainul, et al.
Published: (2024)
by: Ihsan, Ahmad Zainul, et al.
Published: (2024)
QMBench: A Research Level Benchmark for Quantum Materials Research
by: Wang, Yanzhen, et al.
Published: (2025)
by: Wang, Yanzhen, et al.
Published: (2025)
Probabilistic Phase Labeling and Lattice Refinement for Autonomous Material Research
by: Chang, Ming-Chiang, et al.
Published: (2023)
by: Chang, Ming-Chiang, et al.
Published: (2023)
AI-Driven Structure Refinement of X-ray Diffraction
by: Cao, Bin, et al.
Published: (2026)
by: Cao, Bin, et al.
Published: (2026)
Agentic Design of Compositional Descriptors via Autoresearch for Materials Science Applications
by: Cobelli, Matteo, et al.
Published: (2026)
by: Cobelli, Matteo, et al.
Published: (2026)
Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials
by: Spurgeon, Steven R., et al.
Published: (2026)
by: Spurgeon, Steven R., et al.
Published: (2026)
Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
by: Vuong, An, et al.
Published: (2026)
by: Vuong, An, et al.
Published: (2026)
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
by: Staley, Edward W., et al.
Published: (2026)
by: Staley, Edward W., et al.
Published: (2026)
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
by: Khastagir, Subhojyoti, et al.
Published: (2025)
by: Khastagir, Subhojyoti, et al.
Published: (2025)
DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning
by: Pan, Elton, et al.
Published: (2025)
by: Pan, Elton, et al.
Published: (2025)
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
by: Jansen, Peter, et al.
Published: (2025)
by: Jansen, Peter, et al.
Published: (2025)
From Data to Theory: Autonomous Large Language Model Agents for Materials Science
by: Alfred, Samuel Onimpa, et al.
Published: (2026)
by: Alfred, Samuel Onimpa, et al.
Published: (2026)
DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
by: Shen, Xiangxiang, et al.
Published: (2024)
by: Shen, Xiangxiang, et al.
Published: (2024)
Similar Items
-
FIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties
by: Hsu, Circe, et al.
Published: (2025) -
MatrixNet: Learning over symmetry groups using learned group representations
by: Laird, Lucas, et al.
Published: (2025) -
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials - A review
by: Nematov, Dilshod, et al.
Published: (2025) -
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024) -
TopoMAS: Large Language Model Driven Topological Materials Multiagent System
by: Zhang, Baohua, et al.
Published: (2025)