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The Journal of Physical Chemistry Letters
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March 5, 2024
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction
Nihang Fu, Lai Wei, Jianjun Hu
Journal of Cheminformatics
|
September 25, 2023
Probabilistic generative transformer language models for generative design of molecules
Lai Wei, Nihang Fu, Yuqi Song, et al.
The Journal of Physical Chemistry. A
|
July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language Models
Rongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 3, 2022
Simultaneously-Collected Multimodal Lying Pose Dataset: Enabling In-Bed Human Pose Monitoring
Shuangjun Liu, Xiaofei Huang, Nihang Fu, et al.
Journal of Chemical Information and Modeling
|
June 13, 2023
Global Mapping of Structures and Properties of Crystal Materials
Qinyang Li, Rongzhi Dong, Nihang Fu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
August 8, 2023
Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models
Nihang Fu, Jeffrey Hu, Ying Feng, et al.
Patterns (New York, N.Y.)
|
May 24, 2022
Scalable deeper graph neural networks for high-performance materials property prediction
Sadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
August 5, 2024
Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of Materials
Lai Wei, Qinyang Li, Yuqi Song, et al.
Inorganic Chemistry
|
April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials Discovery
Lai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces
|
August 26, 2022
DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition
Rongzhi Dong, Yong Zhao, Yuqi Song, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
The Journal of Physical Chemistry Letters
|
March 5, 2024
Physics-Guided Dual Self-Supervised Learning for Structure-Based Material Property Prediction
Nihang Fu, Lai Wei, Jianjun Hu
Journal of Cheminformatics
|
September 25, 2023
Probabilistic generative transformer language models for generative design of molecules
Lai Wei, Nihang Fu, Yuqi Song, et al.
The Journal of Physical Chemistry. A
|
July 15, 2024
Generative Design of Inorganic Compounds Using Deep Diffusion Language Models
Rongzhi Dong, Nihang Fu, Edirisuriya M D Siriwardane, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 3, 2022
Simultaneously-Collected Multimodal Lying Pose Dataset: Enabling In-Bed Human Pose Monitoring
Shuangjun Liu, Xiaofei Huang, Nihang Fu, et al.
Journal of Chemical Information and Modeling
|
June 13, 2023
Global Mapping of Structures and Properties of Crystal Materials
Qinyang Li, Rongzhi Dong, Nihang Fu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
August 8, 2023
Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models
Nihang Fu, Jeffrey Hu, Ying Feng, et al.
Patterns (New York, N.Y.)
|
May 24, 2022
Scalable deeper graph neural networks for high-performance materials property prediction
Sadman Sadeed Omee, Steph-Yves Louis, Nihang Fu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
August 5, 2024
Crystal Composition Transformer: Self-Learning Neural Language Model for Generative and Tinkering Design of Materials
Lai Wei, Qinyang Li, Yuqi Song, et al.
Inorganic Chemistry
|
April 14, 2022
TCSP: a Template-Based Crystal Structure Prediction Algorithm for Materials Discovery
Lai Wei, Nihang Fu, Edirisuriya M D Siriwardane, et al.
ACS Applied Materials & Interfaces
|
August 26, 2022
DeepXRD, a Deep Learning Model for Predicting XRD spectrum from Material Composition
Rongzhi Dong, Yong Zhao, Yuqi Song, et al.
Page
of 1