Tongqi Wen

Chinese University of Hong Kong — Hong Kong

Materials Science · Physical Sciences

23h-index2.7kcitations68works4.82yr avg
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Research Topics

Machine Learning in Materials Science(19), Advanced materials and composites(16), High Entropy Alloys Studies(13), High-Temperature Coating Behaviors(9), Titanium Alloys Microstructure and Properties(8)

Publications68 total

Tetragonal Fe2O: the stable iron oxide at Earth's core conditions
arXiv (Cornell University)·2025Open Access
ABACUS: An electronic structure analysis package for the AI era
The Journal of Chemical Physics·2025· 2 cited
DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science
Journal of Chemical Information and Modeling·2025
Polydopamine architectured stable layered MnO2 for dendrite free lithium metal batteries
Journal of Energy Storage·2025· 1 cited
Author response for "Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design"
2025
MatTools: Benchmarking Large Language Models for Materials Science Tools
arXiv (Cornell University)·2025Open Access
Author response for "Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design"
2025
APEX: an automated cloud-native material property explorer
npj Computational Materials·2025· 7 citedOpen Access
Open-source density functional theory software ABACUS: promoting the development of large atomic-scale machine learning pre-trained models
Chinese Science Bulletin (Chinese Version)·2025· 1 citedOpen Access
Inverse Materials Design by Large Language Model-Assisted Generative Framework
arXiv (Cornell University)·2025· 1 citedOpen Access
Active Learning for Conditional Inverse Design with Crystal Generation and Foundation Atomic Models
arXiv (Cornell University)·2025· 1 citedOpen Access
ABACUS: An Electronic Structure Analysis Package for the AI Era
arXiv (Cornell University)·2025· 1 citedOpen Access
Strong, ductile, and hierarchical hetero-lamellar-structured alloys through microstructural inheritance and refinement
Proceedings of the National Academy of Sciences·2025· 28 citedOpen Access
Large language models for material property predictions: elastic constant tensor prediction and materials design
Digital Discovery·2025· 3 citedOpen Access
A Multi-agent Framework for Physical Laws Discovery
arXiv (Cornell University)·2024· 1 citedOpen Access
Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design
arXiv (Cornell University)·2024Open Access
A prompt-engineered large language model, deep learning workflow for materials classification
Materials Today·2024· 34 citedOpen Access
An accurate and transferable machine learning interatomic potential for nickel
Communications Materials·2024· 12 citedOpen Access
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows
arXiv (Cornell University)·2024· 3 citedOpen Access
An Extendable Cloud-Native Alloy Property Explorer
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Beilin Ye(18), David J. Srolovitz(14), Yanhui Chu(13), Cai‐Zhuang Wang(11), Linfeng Zhang(8), Handong Wang(8), Zhaoxuan Wu(8), Ling Tang(7), Da Liu(6), Rui Wang(6), Kai‐Ming Ho(5), Nan Wang(5), Manh Cuong Nguyen(4), Shanshan Ning(4), M. J. Kramer(4), Yang Sun(4), Zhenqing Yang(4), Arvind Pattamatta(4), Honghua Liu(3), Anwen Liu(3)