Grace X. Gu
Assistant Professor of Mechanical Engineering
Email: ggu@berkeley.edu
Phone: (510) 643-4996
Office: 6177 Etcheverry Hall
Education:
PhD Mechanical Engineering, MIT, 2018
MS Mechanical Engineering, MIT, 2014
BS Mechanical Engineering, University of Michigan, 2012
Links:
Links:
Research Description:
Research interests: Composites, additive manufacturing, fracture mechanics, topology optimization, machine learning, finite element analysis, and bioinspired materials.
Key Publications:
S Lee, Z Zhang, and GX Gu. Deep learning accelerated design of mechanically efficient architected materials, ACS Applied Materials & Interfaces, 2023
B Zheng, Z Jin, G Hu, J Gu, SY Yu, JH Lee, and GX Gu. Machine learning and experiments: A synergy for the development of functional materials, MRS Bulletin, 2023
S Lee, D Lim, E Pegg, and GX Gu. The origin of high-velocity impact response and damage mechanisms for bioinspired composites, Cell Reports Physical Science, 2022
JH Lee, Z Zhang, and GX Gu. Maximum electro-momentum coupling in piezoelectric metamaterial scatterers, Journal of Applied Physics, 2022
Z Zhang, Z Jin, and GX Gu. Efficient pneumatic actuation modeling using hybrid physics-based and data-driven framework, Cell Reports Physical Science, 2022
S Lee, Z Zhang, and GX Gu. Generative machine learning algorithm for lattice structures with superior mechanical properties, Materials Horizons, 2022
Z Jin, Z Zhang, K Demir, and GX Gu. Machine learning for advanced additive manufacturing, Matter, 2020
B Zheng and GX Gu. Machine learning-based detection of graphene defects with atomic precision, Nano-Micro Letters, 2020
C Yang, Y Kim, S Ryu, and GX Gu. Prediction of composite microstructure stress-strain curves using convolutional neural networks, Materials & Design, 2020
Z Zhang, K Demir, and GX Gu. Developments in 4D-printing: A review on current smart materials, technologies, and applications, International Journal of Smart and Nano Materials, 2019
To view a complete list of Professor Gu’s publications, please visit the Gu Research Group website.