Saved in:
| Main Authors: | Vuong, An, Van, Minh-Hao, Zhao, Chen, Wu, Xintao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2606.01012 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
by: Vuong, An, et al.
Published: (2025)
by: Vuong, An, 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)
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025)
by: Van, Minh-Hao, 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)
Supervised Pretraining for Material Property Prediction
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)
Multimodal Transformer for Sample-Aware Prediction of Metal-Organic Framework Properties
by: Han, Seunghee, et al.
Published: (2026)
by: Han, Seunghee, et al.
Published: (2026)
Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property Prediction
by: Ekuma, Chinedu
Published: (2024)
by: Ekuma, Chinedu
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)
MATAI: A Generalist Machine Learning Framework for Property Prediction and Inverse Design of Advanced Alloys
by: Deng, Yanchen, et al.
Published: (2025)
by: Deng, Yanchen, et al.
Published: (2025)
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
by: Antoniuk, Evan R., et al.
Published: (2025)
by: Antoniuk, Evan R., et al.
Published: (2025)
XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science
by: Subramanian, Jithendaraa, et al.
Published: (2025)
by: Subramanian, Jithendaraa, et al.
Published: (2025)
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)
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)
A Generation Framework with Strict Constraints for Crystal Materials Design
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
by: Lambard, Guillaume
Published: (2026)
by: Lambard, Guillaume
Published: (2026)
Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials
by: AL-Oqla, Faris M., et al.
Published: (2024)
by: AL-Oqla, Faris M., et al.
Published: (2024)
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
by: Boyar, Onur, et al.
Published: (2025)
by: Boyar, Onur, et al.
Published: (2025)
Interaction Topological Transformer for Multiscale Learning in Porous Materials
by: Chen, Dong, et al.
Published: (2025)
by: Chen, Dong, et al.
Published: (2025)
SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
by: Babu, Anand
Published: (2024)
by: Babu, Anand
Published: (2024)
MechProNet: Machine Learning Prediction of Mechanical Properties in Metal Additive Manufacturing
by: Akbari, Parand, et al.
Published: (2022)
by: Akbari, Parand, et al.
Published: (2022)
MatFormBench: A Benchmarking Evaluation Framework for Target-Driven Materials Formulation
by: Wu, Linhan, et al.
Published: (2026)
by: Wu, Linhan, et al.
Published: (2026)
Siamese Foundation Models for Crystal Structure Prediction
by: Wu, Liming, et al.
Published: (2025)
by: Wu, Liming, 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)
QMBench: A Research Level Benchmark for Quantum Materials Research
by: Wang, Yanzhen, et al.
Published: (2025)
by: Wang, Yanzhen, 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)
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)
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)
Zatom-1: Towards a Multimodal Foundation Model for 3D Molecules and Materials
by: Morehead, Alex, et al.
Published: (2026)
by: Morehead, Alex, et al.
Published: (2026)
Towards Agentic Intelligence for Materials Science
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
TopoMAS: Large Language Model Driven Topological Materials Multiagent System
by: Zhang, Baohua, et al.
Published: (2025)
by: Zhang, Baohua, 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)
Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, et al.
Published: (2024)
On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
by: Van, Minh-Hao, et al.
Published: (2024)
by: Van, Minh-Hao, 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)
AIMatDesign: Knowledge-Augmented Reinforcement Learning for Inverse Materials Design under Data Scarcity
by: Yu, Yeyong, et al.
Published: (2025)
by: Yu, Yeyong, et al.
Published: (2025)
Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
by: Younes, Eliane, et al.
Published: (2025)
by: Younes, Eliane, et al.
Published: (2025)
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024)
by: Yang, Sherry, et al.
Published: (2024)
Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, et al.
Published: (2024)
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)
CrySPAI: A new Crystal Structure Prediction Software Based on Artificial Intelligence
by: Wang, Zongguo, et al.
Published: (2025)
by: Wang, Zongguo, et al.
Published: (2025)
Similar Items
-
Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
by: Vuong, An, et al.
Published: (2025) -
Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024) -
Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
by: Van, Minh-Hao, et al.
Published: (2025) -
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
by: Shen, Xiangxiang, et al.
Published: (2024) -
Supervised Pretraining for Material Property Prediction
by: Rahman, Chowdhury Mohammad Abid, et al.
Published: (2025)