Publications

Rachel K. Luu, Sofia Arevalo, Wei Lu, Bo Ni, Zhenze Yang, Sabrina C. Shen, Jaime Berkovich, Yu-Chuan Hsu, Stone Zan, Markus J. Buehler (2024). De novo Design of Polymer Electrolytes with High Conductivity using GPT-based and Diffusion-based Generative Models. In An MIT Exploration of Generative AI.

Cite DOI Paper Link

Zhenze Yang, Weike Ye, Xiangyun Lei, Daniel Schweigert, Ha-Kyung Kwon, Arash Khajeh (2024). De novo Design of Polymer Electrolytes with High Conductivity using GPT-based and Diffusion-based Generative Models. In ArXiv.

Cite DOI Paper Link

Xiangyun Lei, Weike Ye, Zhenze Yang, Daniel Schweigert, Ha-Kyung Kwon, Arash Khajeh (2024). A Self-Improvable Polymer Discovery Framework Based on Conditional Generative Model. In ArXiv.

Cite DOI Paper Link

Zhenze Yang, Markus J. Buehler (2023). Fill in the Blank: Transferrable Deep Learning Approaches to Recover Missing Physical Field Information. In Adv. Mater..

Cite DOI Paper Link Code

Zhenze Yang, Yu-Chuan Hsu, Markus J. Buehler (2023). Generative multiscale analysis of de novo proteome-inspired molecular structures and nanomechanical optimization using a VoxelPerceiver transformer model. In JMPS.

Cite DOI Paper Link

Bo Ni, Doug Steinbach, Zhenze Yang, Andrew Lew, Boyu Zhang, Qiyi Fang, Markus J. Buehler, Jun Lou (2022). Fracture at the two-dimensional limit. In MRS Bull. (Review paper).

Cite DOI Paper Link

Zhenze Yang, Markus J. Buehler (2022). Linking atomic structural defects to mesoscale properties in crystalline solids using graph neural networks. In Npj Comput. Mater..

Cite DOI Paper Link Code

Wei Lu, Zhenze Yang, Markus J. Buehler (2022). Rapid mechanical property prediction and de novo design of three-dimensional spider webs through graph and GraphPerceiver neural networks. In JAP (Featured by Scilight).

Cite DOI Paper Link

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). Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning. In Adv. Theory Simul..

Cite DOI Paper Link

Zhenze Yang, Markus J. Buehler (2022). High-Throughput Generation of 3D Graphene Metamaterials and Property Quantification Using Machine Learning. In Small Methods.

Cite DOI Paper Link

Markus J. Buehler, Chi-Hua Yu, Zhenze Yang (2022). End-to-End Deep Learning Approach to Predict Complex Stress and Strain Fields Directly from Microstructural Images. In US Patent App.

Patent Link

Yu-Chuan Hsu, Zhenze Yang, Markus J. Buehler (2022). Generative design, manufacturing, and molecular modeling of 3D architected materials based on natural language input. In APL Mater.

Cite DOI Paper Link

Yutian Shen, Ting Lin, Zhenze Yang, Yongfeng Huang, Jiyu Xu, Sheng Meng (2022). Water contact angles on charged surfaces in aerosols. In Chin. Phys. B.

Cite DOI Paper Link

Zhenze Yang, Markus J. Buehler (2021). Words to Matter: De novo Architected Materials Design Using Transformer Neural Networks. In Front. Mater. (Featured by MIT CEE news).

Cite DOI Paper Link

Sheng Gong, Shuo Wang, Taishan Zhu, Xi Chen, Zhenze Yang, Markus J. Buehler, Yang Shao-Horn, Jeffrey C. Grossman (2021). Screening and Understanding Li Adsorption on Two-Dimensional Metallic Materials by Learning Physics and Physics-Simplified Learning. In JACS Au.

Cite DOI Paper Link

Zhenze Yang, Chi-Hua Yu, Kai Guo, Markus J. Buehler (2021). End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures. In JMPS.

Cite DOI Paper Link

Zhenze Yang, Chi-Hua Yu, Markus J. Buehler (2021). Deep learning model to predict complex stress and strain fields in hierarchical composites. In Sci. Adv. (Featured by MIT News, EurekAlert!, Phys.org, ScienceDaily and SciTechDaily).

Cite DOI Paper Link

Kai Guo, Zhenze Yang, Chi-Hua Yu, Markus J. Buehler (2020). Artificial Intelligence and Machine Learning in Mechanical Design of Materials. In Mater. Horiz. (Review paper).

Cite DOI Paper Link

Yuntao Cui, Yujie Ding, Shuo Xu, Zhenze Yang, Pengju Zhang, Wei Rao, Jing Liu (2018). Liquid Metal Corrosion Effects on Conventional Metallic Alloys Exposed to Eutectic Gallium–Indium Alloy Under Various Temperature States. In Int. J. Thermophys..

Cite DOI Paper Link

Yuntao Cui, Fei Liang, Zhenze Yang, Shuo Xu, Xi Zhao, Yujie Ding, Zheshuai Lin, Jing Liu (2018). Metallic Bond Enabled Wetting Behavior at the Liquid Ga/CuGa2 Interfaces. In ACS Appl. Mater. Interfaces.

Cite DOI Paper Link