| Prediction of composite microstructure stress-strain curves using convolutional neural networks C Yang, Y Kim, S Ryu, GX Gu Materials & Design 189, 108509, 2020 | 366 | 2020 |
| Accelerating Auxetic Metamaterial Design with Deep Learning JK Wilt, C Yang, GX Gu Advanced Engineering Materials, 1901266, 2020 | 188 | 2020 |
| Deep learning framework for material design space exploration using active transfer learning and data augmentation Y Kim, Y Kim, C Yang, K Park, GX Gu, S Ryu npj Computational Materials 7 (1), 140, 2021 | 130 | 2021 |
| Using convolutional neural networks to predict composite properties beyond the elastic limit C Yang, Y Kim, S Ryu, GX Gu MRS Communications 9 (2), 609-617, 2019 | 79 | 2019 |
| Designing an adhesive pillar shape with deep learning-based optimization Y Kim, C Yang, Y Kim, GX Gu, S Ryu ACS applied materials & interfaces 12 (21), 24458-24465, 2020 | 61 | 2020 |
| Facile synthesis of ZnO@ ZIF core–shell nanofibers: crystal growth and gas adsorption X He, C Yang, D Wang, SE Gilliland III, DR Chen, WN Wang CrystEngComm 19 (18), 2445-2450, 2017 | 37 | 2017 |
| Interpretable forward and inverse design of particle spectral emissivity using common machine-learning models M Elzouka, C Yang, A Albert, RS Prasher, SD Lubner Cell Reports Physical Science 1 (12), 2020 | 32 | 2020 |
| Vibrational detection of delamination in composites using a combined finite element analysis and machine learning approach EW Jacobs, C Yang, KG Demir, GX Gu Journal of Applied Physics 128 (12), 2020 | 26 | 2020 |
| Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites V Shah, S Zadourian, C Yang, Z Zhang, GX Gu Materials Advances 3 (19), 7319-7327, 2022 | 11 | 2022 |
| Interpretable inverse design of particle spectral emissivity using machine learning M Elzouka, C Yang, A Albert, S Lubner, RS Prasher arXiv preprint arXiv:2002.04223, 2020 | 4 | 2020 |
| Sequential Optimal Placement of Distributed Photovoltaics using Downstream Power Index MH Athari, C Yang, Z Wang 2017 North American Power Symposium (NAPS), 2017 | 4 | 2017 |
| Machine learning for solid mechanics C Yang, Z Zhang, GX Gu Intelligent Nanotechnology, 33-45, 2023 | 3 | 2023 |
| Detecting Backdoored Neural Networks with Structured Adversarial Attacks C Yang University of California, Berkeley, 2021 | 2 | 2021 |
| Mapping Support for Targeted Critical Minerals Exploration and Extraction C Davis, RV Gandhi Mendadhala, CJ Forsgren, A Kaiser, S Inskeep, ... https://www.osti.gov/biblio/2496275, 2024 | | 2024 |
Grace X. GuAssistant Professor, Mechanical Engineering, UC BerkeleyDirección de correo verificada de berkeley.edu