TopoMAS: Large Language Model Driven Topological Materials Multiagent System
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Baohua, Li, Xin, Xu, Huangchao, Jin, Zhong, Wu, Quansheng, Li, Ce |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
by: Xu, HuangChao, et al.
Published: (2024)
by: Xu, HuangChao, et al.
Published: (2024)
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
by: Xu, Haosheng, et al.
Published: (2025)
by: Xu, Haosheng, et al.
Published: (2025)
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
by: Lv, Taoyuze, et al.
Published: (2025)
by: Lv, Taoyuze, 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)
MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
by: Noh, Heewoong, et al.
Published: (2026)
by: Noh, Heewoong, et al.
Published: (2026)
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
by: Roy, Aritra, et al.
Published: (2026)
by: Roy, Aritra, et al.
Published: (2026)
LLMatDesign: Autonomous Materials Discovery with Large Language Models
by: Jia, Shuyi, et al.
Published: (2024)
by: Jia, Shuyi, et al.
Published: (2024)
MatFormBench: A Benchmarking Evaluation Framework for Target-Driven Materials Formulation
by: Wu, Linhan, et al.
Published: (2026)
by: Wu, Linhan, 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)
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
by: Schlesinger, Claire, et al.
Published: (2026)
by: Schlesinger, Claire, et al.
Published: (2026)
Discovering Multiagent Learning Algorithms with Large Language Models
by: Li, Zun, et al.
Published: (2026)
by: Li, Zun, et al.
Published: (2026)
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
by: Sriram, Anuroop, et al.
Published: (2024)
by: Sriram, Anuroop, et al.
Published: (2024)
Artificial Intelligence in Concrete Materials: A Scientometric View
by: Li, Zhanzhao, et al.
Published: (2022)
by: Li, Zhanzhao, et al.
Published: (2022)
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
by: Chiang, Yuan, et al.
Published: (2024)
by: Chiang, Yuan, et al.
Published: (2024)
Interaction Topological Transformer for Multiscale Learning in Porous Materials
by: Chen, Dong, et al.
Published: (2025)
by: Chen, Dong, et al.
Published: (2025)
Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
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)
Towards Agentic Intelligence for Materials Science
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models
by: Walther, Peter, et al.
Published: (2026)
by: Walther, Peter, et al.
Published: (2026)
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)
OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research
by: Kang, Peng, et al.
Published: (2026)
by: Kang, Peng, et al.
Published: (2026)
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks
by: Zhou, Zhenhao, et al.
Published: (2025)
by: Zhou, Zhenhao, 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)
An Agentic Framework for Autonomous Materials Computation
by: Xia, Zeyu, et al.
Published: (2025)
by: Xia, Zeyu, 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)
Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
by: Vuong, An, et al.
Published: (2026)
by: Vuong, An, et al.
Published: (2026)
Hierarchical Multi-agent Large Language Model Reasoning for Autonomous Functional Materials Discovery
by: Rothfarb, Samuel, et al.
Published: (2025)
by: Rothfarb, Samuel, et al.
Published: (2025)
"DIVE" into Hydrogen Storage Materials Discovery with AI Agents
by: Zhang, Di, et al.
Published: (2025)
by: Zhang, Di, et al.
Published: (2025)
Stacking-dependent Electronic and Topological Properties in van der Waals Antiferromagnet MnBi$_2$Te$_4$ Films
by: Li, Jiaheng, et al.
Published: (2025)
by: Li, Jiaheng, et al.
Published: (2025)
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)
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation
by: Han, Xiao-Qi, et al.
Published: (2025)
by: Han, Xiao-Qi, et al.
Published: (2025)
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
by: Polak, Maciej P., et al.
Published: (2023)
by: Polak, Maciej P., et al.
Published: (2023)
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024)
by: Yang, Sherry, et al.
Published: (2024)
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
by: Guan, Zhong, et al.
Published: (2024)
by: Guan, Zhong, et al.
Published: (2024)
Universal Machine Learning Kohn-Sham Hamiltonian for Materials
by: Zhong, Yang, et al.
Published: (2024)
by: Zhong, Yang, et al.
Published: (2024)
MaterialsGalaxy: A Platform Fusing Experimental and Theoretical Data in Condensed Matter Physics
by: Zhu, Tiannian, et al.
Published: (2025)
by: Zhu, Tiannian, et al.
Published: (2025)
Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
by: Barroso-Luque, Luis, et al.
Published: (2024)
by: Barroso-Luque, Luis, et al.
Published: (2024)
Sustainable Materials Discovery in the Era of Artificial Intelligence
by: Mannan, Sajid, et al.
Published: (2026)
by: Mannan, Sajid, et al.
Published: (2026)
AI-accelerated Discovery of Altermagnetic Materials
by: Gao, Ze-Feng, et al.
Published: (2023)
by: Gao, Ze-Feng, et al.
Published: (2023)
Similar Items
-
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
by: Xu, HuangChao, et al.
Published: (2024) -
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
by: Xu, Haosheng, et al.
Published: (2025) -
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
by: Lv, Taoyuze, et al.
Published: (2025) -
From Data to Theory: Autonomous Large Language Model Agents for Materials Science
by: Alfred, Samuel Onimpa, et al.
Published: (2026) -
MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
by: Noh, Heewoong, et al.
Published: (2026)