Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions
Fuente:
arXiv
Saved in:
| Main Authors: | Venugopal, Vineeth, Mahjoubi, Soroush, Olivetti, Elsa |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials
by: Prein, Thorben, et al.
Published: (2025)
by: Prein, Thorben, et al.
Published: (2025)
From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent
by: Zhuang, Genmao, et al.
Published: (2026)
by: Zhuang, Genmao, et al.
Published: (2026)
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential
by: Mao, Zetian, et al.
Published: (2024)
by: Mao, Zetian, et al.
Published: (2024)
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
by: Zhang, Hengrui, et al.
Published: (2024)
by: Zhang, Hengrui, et al.
Published: (2024)
Generating Symmetric Materials using Latent Flow Matching
by: Karmush, Anmar, et al.
Published: (2026)
by: Karmush, Anmar, et al.
Published: (2026)
DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning
by: Pan, Elton, et al.
Published: (2025)
by: Pan, Elton, et al.
Published: (2025)
Learning Latent Hardening (LLH): Enhancing Deep Learning with Domain Knowledge for Material Inverse Problems
by: Tian, Qinyi, et al.
Published: (2025)
by: Tian, Qinyi, et al.
Published: (2025)
Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
by: Song, Guangxuan, et al.
Published: (2023)
by: Song, Guangxuan, et al.
Published: (2023)
Reduced Order Modeling of Energetic Materials Using Physics-Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)
by: Gray, Zoë J., et al.
Published: (2025)
by: Gray, Zoë J., et al.
Published: (2025)
UniMat: Unifying Materials Embeddings through Multi-modal Learning
by: Ock, Janghoon, et al.
Published: (2024)
by: Ock, Janghoon, et al.
Published: (2024)
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
by: Zimmermann, Yoel, et al.
Published: (2025)
by: Zimmermann, Yoel, et al.
Published: (2025)
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
by: Appleton, Robert J, et al.
Published: (2025)
by: Appleton, Robert J, et al.
Published: (2025)
Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning
by: Kang, Kisung, et al.
Published: (2024)
by: Kang, Kisung, et al.
Published: (2024)
Multimodal Foundation Models for Material Property Prediction and Discovery
by: Moro, Viggo, et al.
Published: (2023)
by: Moro, Viggo, et al.
Published: (2023)
Explainable AI for Curie Temperature Prediction in Magnetic Materials
by: Ajaib, M. Adeel, et al.
Published: (2025)
by: Ajaib, M. Adeel, et al.
Published: (2025)
Predicting Stress in Two-phase Random Materials and Super-Resolution Method for Stress Images by Embedding Physical Information
by: Xing, Tengfei, et al.
Published: (2025)
by: Xing, Tengfei, et al.
Published: (2025)
Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model
by: Slautin, Boris N., et al.
Published: (2025)
by: Slautin, Boris N., et al.
Published: (2025)
Regression with Large Language Models for Materials and Molecular Property Prediction
by: Jacobs, Ryan, et al.
Published: (2024)
by: Jacobs, Ryan, et al.
Published: (2024)
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
by: Yan, Keqiang, et al.
Published: (2024)
by: Yan, Keqiang, et al.
Published: (2024)
Benchmarking GNNs for OOD Materials Property Prediction with Uncertainty Quantification
by: Tan, Liqin, et al.
Published: (2025)
by: Tan, Liqin, et al.
Published: (2025)
Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
by: Okabe, Ryotaro, et al.
Published: (2024)
by: Okabe, Ryotaro, et al.
Published: (2024)
A Foundation Model for Material Fracture Prediction
by: Marcato, Agnese, et al.
Published: (2025)
by: Marcato, Agnese, et al.
Published: (2025)
Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
by: Jia, Yunze, et al.
Published: (2025)
by: Jia, Yunze, et al.
Published: (2025)
MoMa: A Modular Deep Learning Framework for Material Property Prediction
by: Wang, Botian, et al.
Published: (2025)
by: Wang, Botian, et al.
Published: (2025)
From Text to Insight: Large Language Models for Materials Science Data Extraction
by: Schilling-Wilhelmi, Mara, et al.
Published: (2024)
by: Schilling-Wilhelmi, Mara, et al.
Published: (2024)
Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores
by: Amirian, Benhour, et al.
Published: (2025)
by: Amirian, Benhour, et al.
Published: (2025)
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
by: Xin, Yu, et al.
Published: (2025)
by: Xin, Yu, et al.
Published: (2025)
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions
by: Wang, Hongchen, et al.
Published: (2024)
by: Wang, Hongchen, et al.
Published: (2024)
Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning
by: Barad, Sagar Prakash, et al.
Published: (2024)
by: Barad, Sagar Prakash, et al.
Published: (2024)
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
by: Huang, Jiao, et al.
Published: (2024)
by: Huang, Jiao, et al.
Published: (2024)
Supervised Pretraining for Material Property Prediction
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)
Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design
by: Comlek, Yigitcan, et al.
Published: (2023)
by: Comlek, Yigitcan, et al.
Published: (2023)
Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties with Phonon-Informed Datasets
by: Benítez, Pol, et al.
Published: (2025)
by: Benítez, Pol, et al.
Published: (2025)
Knowledge-Reuse Transfer Learning Methods in Molecular and Material Science
by: Chen, An, et al.
Published: (2024)
by: Chen, An, et al.
Published: (2024)
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
by: Minami, Shunya, et al.
Published: (2024)
by: Minami, Shunya, et al.
Published: (2024)
Tensor Completion for Surrogate Modeling of Material Property Prediction
by: Pakala, Shaan, et al.
Published: (2025)
by: Pakala, Shaan, et al.
Published: (2025)
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)
Property-Guided Molecular Generation and Optimization via Latent Flows
by: Lobo, Alexander Arjun, et al.
Published: (2026)
by: Lobo, Alexander Arjun, et al.
Published: (2026)
Hierarchy-Guided Topology Latent Flow for Molecular Graph Generation
by: Awasthi, Urvi, et al.
Published: (2026)
by: Awasthi, Urvi, et al.
Published: (2026)
Similar Items
-
Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials
by: Prein, Thorben, et al.
Published: (2025) -
From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent
by: Zhuang, Genmao, et al.
Published: (2026) -
Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential
by: Mao, Zetian, et al.
Published: (2024) -
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data
by: Zhang, Hengrui, et al.
Published: (2024) -
Generating Symmetric Materials using Latent Flow Matching
by: Karmush, Anmar, et al.
Published: (2026)