MatFormBench: A Benchmarking Evaluation Framework for Target-Driven Materials Formulation
Fuente:
arXiv
Guardado en:
| Autores principales: | Wu, Linhan, Wang, Chenxi, Yang, Chuhan, Yang, Zhengwei, Liu, Yuyang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
por: Ding, Qianggang, et al.
Publicado: (2024)
por: Ding, Qianggang, et al.
Publicado: (2024)
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
por: Ni, Ziqi, et al.
Publicado: (2024)
por: Ni, Ziqi, et al.
Publicado: (2024)
QMBench: A Research Level Benchmark for Quantum Materials Research
por: Wang, Yanzhen, et al.
Publicado: (2025)
por: Wang, Yanzhen, et al.
Publicado: (2025)
HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
por: Vangala, Bhanu Prakash, et al.
Publicado: (2025)
por: Vangala, Bhanu Prakash, et al.
Publicado: (2025)
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
por: Lv, Taoyuze, et al.
Publicado: (2025)
por: Lv, Taoyuze, et al.
Publicado: (2025)
TopoMAS: Large Language Model Driven Topological Materials Multiagent System
por: Zhang, Baohua, et al.
Publicado: (2025)
por: Zhang, Baohua, et al.
Publicado: (2025)
PhononBench:A Large-Scale Phonon-Based Benchmark for Dynamical Stability in Crystal Generation
por: Han, Xiao-Qi, et al.
Publicado: (2025)
por: Han, Xiao-Qi, et al.
Publicado: (2025)
An Agentic Framework for Autonomous Materials Computation
por: Xia, Zeyu, et al.
Publicado: (2025)
por: Xia, Zeyu, et al.
Publicado: (2025)
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
por: Schlesinger, Claire, et al.
Publicado: (2026)
por: Schlesinger, Claire, et al.
Publicado: (2026)
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
por: Li, Zhixun, et al.
Publicado: (2025)
por: Li, Zhixun, et al.
Publicado: (2025)
OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research
por: Kang, Peng, et al.
Publicado: (2026)
por: Kang, Peng, et al.
Publicado: (2026)
QUASAR: A Universal Autonomous System for Atomistic Simulation and a Benchmark of Its Capabilities
por: Yang, Fengxu, et al.
Publicado: (2026)
por: Yang, Fengxu, et al.
Publicado: (2026)
A Generation Framework with Strict Constraints for Crystal Materials Design
por: Huang, Chao, et al.
Publicado: (2024)
por: Huang, Chao, et al.
Publicado: (2024)
Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
por: Lambard, Guillaume
Publicado: (2026)
por: Lambard, Guillaume
Publicado: (2026)
Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials
por: Spurgeon, Steven R., et al.
Publicado: (2026)
por: Spurgeon, Steven R., et al.
Publicado: (2026)
Generative Hierarchical Materials Search
por: Yang, Sherry, et al.
Publicado: (2024)
por: Yang, Sherry, et al.
Publicado: (2024)
AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials
por: Adrar, Fayçal, et al.
Publicado: (2026)
por: Adrar, Fayçal, et al.
Publicado: (2026)
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
por: Xu, Haosheng, et al.
Publicado: (2025)
por: Xu, Haosheng, et al.
Publicado: (2025)
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
por: Jansen, Peter, et al.
Publicado: (2025)
por: Jansen, Peter, et al.
Publicado: (2025)
Towards Agentic Intelligence for Materials Science
por: Zhang, Huan, et al.
Publicado: (2026)
por: Zhang, Huan, et al.
Publicado: (2026)
MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
por: Noh, Heewoong, et al.
Publicado: (2026)
por: Noh, Heewoong, et al.
Publicado: (2026)
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials - A review
por: Nematov, Dilshod, et al.
Publicado: (2025)
por: Nematov, Dilshod, et al.
Publicado: (2025)
OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields
por: Liu, Wanhao, et al.
Publicado: (2026)
por: Liu, Wanhao, et al.
Publicado: (2026)
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science
por: Zhang, Junkai, et al.
Publicado: (2025)
por: Zhang, Junkai, et al.
Publicado: (2025)
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
por: Rubungo, Andre Niyongabo, et al.
Publicado: (2024)
por: Rubungo, Andre Niyongabo, et al.
Publicado: (2024)
AI-ready design of realistic 2D materials and interfaces with Mat3ra-2D
por: Biryukov, Vsevolod, et al.
Publicado: (2026)
por: Biryukov, Vsevolod, et al.
Publicado: (2026)
Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
por: Vuong, An, et al.
Publicado: (2026)
por: Vuong, An, et al.
Publicado: (2026)
Universal Machine Learning Kohn-Sham Hamiltonian for Materials
por: Zhong, Yang, et al.
Publicado: (2024)
por: Zhong, Yang, et al.
Publicado: (2024)
Benchmarking bandgap prediction in semiconductors under experimental and realistic evaluation settings
por: Wang, Haolin, et al.
Publicado: (2026)
por: Wang, Haolin, et al.
Publicado: (2026)
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
por: Shen, Xiangxiang, et al.
Publicado: (2024)
por: Shen, Xiangxiang, et al.
Publicado: (2024)
TPS-CalcBench: A Benchmark and Diagnostic Evaluation Framework for LLM Analytical Calculation Competence in Hypersonic Thermal Protection System Engineering
por: Zheng, Jinglai, et al.
Publicado: (2026)
por: Zheng, Jinglai, et al.
Publicado: (2026)
MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys
por: Deng, Yanchen, et al.
Publicado: (2025)
por: Deng, Yanchen, et al.
Publicado: (2025)
AI-accelerated Discovery of Altermagnetic Materials
por: Gao, Ze-Feng, et al.
Publicado: (2023)
por: Gao, Ze-Feng, et al.
Publicado: (2023)
Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence
por: Zhang, Shiyun, et al.
Publicado: (2026)
por: Zhang, Shiyun, et al.
Publicado: (2026)
Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
por: Cao, Bin, et al.
Publicado: (2025)
por: Cao, Bin, et al.
Publicado: (2025)
The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
por: Duan, Chenru, et al.
Publicado: (2025)
por: Duan, Chenru, et al.
Publicado: (2025)
AI-Driven Expansion and Application of the Alexandria Database
por: Cavignac, Théo, et al.
Publicado: (2025)
por: Cavignac, Théo, et al.
Publicado: (2025)
DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation
por: Wang, Ziqi, et al.
Publicado: (2025)
por: Wang, Ziqi, et al.
Publicado: (2025)
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
por: Khastagir, Subhojyoti, et al.
Publicado: (2025)
por: Khastagir, Subhojyoti, et al.
Publicado: (2025)
CrySPAI: A new Crystal Structure Prediction Software Based on Artificial Intelligence
por: Wang, Zongguo, et al.
Publicado: (2025)
por: Wang, Zongguo, et al.
Publicado: (2025)
Ejemplares similares
-
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
por: Ding, Qianggang, et al.
Publicado: (2024) -
MatPilot: an LLM-enabled AI Materials Scientist under the Framework of Human-Machine Collaboration
por: Ni, Ziqi, et al.
Publicado: (2024) -
QMBench: A Research Level Benchmark for Quantum Materials Research
por: Wang, Yanzhen, et al.
Publicado: (2025) -
HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
por: Vangala, Bhanu Prakash, et al.
Publicado: (2025) -
AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
por: Lv, Taoyuze, et al.
Publicado: (2025)