Tien-Lin Wu, Jian Lei, Chia-Min Hsieh, Yi-Kuan Chen, Pei-Yun Huang,Po-Ting Lai, Tsu-Yu Chou, Wei-Chen Lin, Wei Chen, Chi-Hua Yu, Liang-Yan Hsu, Hao-Wu Lin and Chien-Hong Cheng

2022.8/paper/Chemical Science

Main-chain engineering of polymer photocatalysts with hydrophilic non-conjugated segments for visible-light-driven hydrogen evolution

Chih-Li Chang, Wei-Cheng Lin, Li-Yu Ting, Chin-Hsuan Shih, Shih-Yuan Chen, Tse-Fu Huang, Hiroyuki Tateno, Jayachandran Jayakumar, Wen-Yang Jao, Chen-Wei Tai, Che-Yi Chu, Chin-Wen Chen, Chi-Hua Yu, Yu-Jung Lu, Chi-Chang Hu, Ahmed M. Elewa, Takehisa Mochizuki , Ho-Hsiu Chou

2022.9/paper/nature communications

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation

Eesha Khare, Chi-Hua Yu h, Constancio Gonzalez Obeso , Mario Milazzo, David L. Kaplan , and Markus J. Buehler

2022.9/paper/PNAS

Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning

Chi-Hua Yu, Bor-Yann Tseng, Zhenze Yang, Cheng-Che Tung, Elena Zhao, Zhi-Fan Ren, Sheng-Sheng Yu, Po-Yu Chen, Chuin-Shan Chen, Markus J. Buehler

2022.8/paper/Advanced Theory And Simulation

De novo multiscale method for nonequilibrium molecular dynamics

Chi-Hua Yu, Jung-San Chen, Yu-Chuan Hsu, Chuin-Shan Chen

2022.10/paper/Computational Materials Science

3D Printing of Metal–Organic Framework-Based Ionogels: Wearable Sensors with Colorimetric and Mechanical Responses

Souvik Pal, You-Ze Su, Yu-Wen Chen, Chi-Hua Yu, Chung-Wei Kung* and Sheng-Sheng Yu*

2022.05/paper/ACS Applied Materials & Interfaces

Deep learning based design of porous graphene for enhanced mechanical resilience

Chi-Hua Yu, Chang-Yan Wu, Markus J. Buehler

2022.04/paper/Computational Materials Science

End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins

Chi-Ha Yu, Wei Chen, Yu-Hsuan Chiang, Kai Guo, Zaira Martion Moldes, David L.Kaplan, and Markus J. Buehler*

2022.02/paper/ACS Biomaterials Science & Engineering

實現自己的材料庫

H-C. Wu, W-T. Chang, W-J. Yang , C-H. Yu, Y-L. Zheng, C-S. Chen, Z-W. Huang

2022.02/book

ColGen: An end-to-end deep learning model to predict thermal stability of de novo collagen sequences

Chi-Hua Yu, Eesha Khare, Om Prakash Narayan, Rachael Parker, David L.Kaplan, Markus J.Buehler

2022.01/paper/Journal of the Mechanical Behavior of Biomedical Materials

Deep Learning Model to Predict Complex Stress and Strain Fields in Hierarchical Composites

Zhenze Yang, Chi-Hua Yu, Markus J. Buehler

2021.04/paper/Science Advances

Deep learning model to predict fracture mechanisms of graphene.

Andrew J Lew, Chi-Hua Yu, Yu-Chuan Hsu, Markus J Buehler

2021/paper/npj 2D Materials and Applications, 5 (1), 1-8.

Tuning Mechanical Properties in Polycrystalline Solids Using a Deep Generative Framework

C-Y. Hsu, C-H. Yu, M. J. Buehler

2021/paper/Advanced Engineering Materials

Micromechanical study of strengthening mechanisms for Ti65(AlCrNb)35 medium-entropy alloy.

Chi-Hua Yu, Guan-Hua Huang, Wei-Tang Huang, Chang-Wei Huang, Yu-Chieh Lo, Zih-Jie Hung, Yu-Chin Liao, Jason Shian-Ching Jang, Hsuan-Teh Hu

2021/paper/Intermetallics, 137, 107275.

Artificial Intelligence and Machine Learning in Design of Mechanical Materials

K. Guo, Z. Yang, C-H. Yu, M. J. Buehler

2021/paper/Materials Horizons

A perspective on musical representations of folded protein nanostructures

Sebastian Louis Franjou, Mario Milazzo, Chi-Hua Yu and Markus J Buehler

2020.11/paper/Nano Futures

Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling

Chi-Hua Yu, Markus J. Buehler

2020/paper/APL Bioengineering

Using Deep Learning to Predict Fracture Patterns in Crystalline Solids

Yu-Chan Hsu, Chi-Hua Yu, Markus J. Buehler

2020/paper/Matter

A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence

Chi-Hua Yu, Zhao Qin, Francisco J. Martin-Martinez, Markus J. Buehler

2019/paper/ACS Nano

Artificial intelligence design algorithm for nanocomposites optimized for shear crack resistance

Chi-Hua Yu, Zhao Qin, Markus J. Buehler

2019/paper/Nano Futures

Sounds interesting: can sonification help us design new proteins?

Sebastian L. Franjou, Mario Milazzo, Chi-Hua Yu, Markus J. Buehler

2019/paper/Expert Review of Proteomics

Self-Folding Hybrid Graphene Skin for 3D Biosensing

Weinan Xu, Santosh K. Paidi, Zhao Qin, Qi Huang, Chi-Hua Yu, Jayson V. Pagaduan, Markus J. Buehler, Ishan Barman, David H. Gracias

2018/paper/Nano Letters

Micromechanics Modeling of Creep Fracture of High Temperature Ceramics

C-H. Yu, C-S. Chen, C-W. Huang, C-H. Huseh

2017.12/book

Nanoindentation and Indentation Size Effects: Continuum Model and Atomistic Simulation

C-H. Yu, C-S. Chen

2017.12/book

Semi-analytical Solution for the Generalized Absorbing Boundary Condition in Molecular Dynamics Simulations

C-S. Lee, Y-Y. Chen, C-H. Yu, Y-C. Hsu, C-S Chen

2017.02/paper/Computational Mechanics

Micromechanics modeling of creep fracture of zirconium diboride–silicon carbide composites at 1400–1700°C

Yu, C. H. Bird, M. W. Huang, C. W. Chen, C. S. Gao, Y. F. White, K. W. Hsueh, C. H.

2014.12/paper/Journal of the European Ceramic Society

Friction Coefficient Calculation and Mechanism Analysis for MoS2 Nanoparticle from Molecular Dynamics Simulation

C-S. Chen, ,H-J. Cian, C-H. Yu, C-W. Huang

2014.06/paper/Procedia Engineering

A micromechanics study of competing mechanisms for creep fracture of zirconium diboride polycrystals

C-H Yu, C-W Huang, C-S Chen, Y Gao, C-H Hsueh*

2013.05/paper/Journal of the European Ceramic Society

Effects of grain boundary heterogeneities on creep fracture studied by rate-dependent cohesive model

C-H Yu, C-W Huang, C-S Chen, Y Gao, C-H Hsueh*

2012.05/paper/Engineering Fracture Mechanics