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Chun-Teh Chen

Showing results (1-10 of 15) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|July 30, 2021
Learning hidden elasticity with deep neural networksChun-Teh Chen, Grace X Gu
Physical Chemistry Chemical Physics : PCCP|November 3, 2018
Polydopamine and eumelanin models in various oxidation statesChun-Teh Chen, Markus J Buehler
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 24, 2023
Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed ProblemsChun-Teh Chen, Grace X Gu
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|March 11, 2020
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active LearningChun-Teh Chen, Grace X Gu
Nature Communications|July 29, 2020
Nano-topology optimization for materials design with atom-by-atom controlChun-Teh Chen, Daryl C Chrzan, Grace X Gu
Physical Chemistry Chemical Physics : PCCP|May 29, 2014
Molecular mechanics of elastic and bendable caffeine co-crystalsChun-Teh Chen, Soumyajit Ghosh, C Malla Reddy, et al.
Accounts of Chemical Research|October 24, 2014
Polydopamine and eumelanin: from structure-property relationships to a unified tailoring strategyMarco d'Ischia, Alessandra Napolitano, Vincent Ball, et al.
Chemical Science|April 29, 2017
Polydopamine and eumelanin molecular structures investigated with <i>ab initio</i> calculationsChun-Teh Chen, Francisco J Martin-Martinez, Gang Seob Jung, et al.
Soft Matter|March 22, 2014
Tuning heterogeneous poly(dopamine) structures and mechanics: in silico covalent cross-linking and thin film nanoindentationShangchao Lin, Chun-Teh Chen, Igor Bdikin, et al.
Nature Communications|May 23, 2014
Excitonic effects from geometric order and disorder explain broadband optical absorption in eumelaninChun-Teh Chen, Chern Chuang, Jianshu Cao, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|July 30, 2021
Learning hidden elasticity with deep neural networksChun-Teh Chen, Grace X Gu
Physical Chemistry Chemical Physics : PCCP|November 3, 2018
Polydopamine and eumelanin models in various oxidation statesChun-Teh Chen, Markus J Buehler
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|April 24, 2023
Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed ProblemsChun-Teh Chen, Grace X Gu
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|March 11, 2020
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active LearningChun-Teh Chen, Grace X Gu
Nature Communications|July 29, 2020
Nano-topology optimization for materials design with atom-by-atom controlChun-Teh Chen, Daryl C Chrzan, Grace X Gu
Physical Chemistry Chemical Physics : PCCP|May 29, 2014
Molecular mechanics of elastic and bendable caffeine co-crystalsChun-Teh Chen, Soumyajit Ghosh, C Malla Reddy, et al.
Accounts of Chemical Research|October 24, 2014
Polydopamine and eumelanin: from structure-property relationships to a unified tailoring strategyMarco d'Ischia, Alessandra Napolitano, Vincent Ball, et al.
Chemical Science|April 29, 2017
Polydopamine and eumelanin molecular structures investigated with <i>ab initio</i> calculationsChun-Teh Chen, Francisco J Martin-Martinez, Gang Seob Jung, et al.
Soft Matter|March 22, 2014
Tuning heterogeneous poly(dopamine) structures and mechanics: in silico covalent cross-linking and thin film nanoindentationShangchao Lin, Chun-Teh Chen, Igor Bdikin, et al.
Nature Communications|May 23, 2014
Excitonic effects from geometric order and disorder explain broadband optical absorption in eumelaninChun-Teh Chen, Chern Chuang, Jianshu Cao, et al.
Pageof 2