High‐Voltage Charging‐Induced Strain, Heterogeneity, and Micro‐Cracks in Secondary Particles of a Nickel‐Rich Layered Cathode Material Y Mao, X Wang, S Xia, K Zhang, C Wei, S Bak, Z Shadike, X Liu, Y Yang, ... Advanced Functional Materials, 1900247, 2019 | 312 | 2019 |
Mesoscale battery science: the behavior of electrode particles caught on a multispectral X-ray camera C Wei, S Xia, H Huang, Y Mao, P Pianetta, Y Liu Accounts of chemical research 51 (10), 2484-2492, 2018 | 76 | 2018 |
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures Y Mao, H Lin, CX Yu, R Frye, D Beckett, K Anderson, L Jacquemetton, ... Journal of Intelligent Manufacturing, 1-15, 2022 | 34 | 2022 |
Automatic projection image registration for nanoscale X-ray tomographic reconstruction H Yu, S Xia, C Wei, Y Mao, D Larsson, X Xiao, P Pianetta, YS Yu, Y Liu Journal of synchrotron radiation 25 (6), 1819-1826, 2018 | 27 | 2018 |
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction V Gupta, K Choudhary, Y Mao, K Wang, F Tavazza, C Campbell, W Liao, ... Journal of Chemical Information and Modeling, 2023 | 18 | 2023 |
Generative Adversarial Networks and Mixture Density Networks-Based Inverse Modeling for Microstructural Materials Design Y Mao, Z Yang, D Jha, A Paul, W Liao, A Choudhary, A Agrawal Integrating Materials and Manufacturing Innovation, 1-11, 2022 | 14 | 2022 |
Data-Driven Multi-Scale Modeling and Optimization for Elastic Properties of Cubic Microstructures M Hasan, Y Mao, K Choudhary, F Tavazza, A Choudhary, A Agrawal, ... Integrating Materials and Manufacturing Innovation 11 (2), 230-240, 2022 | 9 | 2022 |
An AI-driven microstructure optimization framework for elastic properties of titanium beyond cubic crystal systems Y Mao, M Hasan, A Paul, V Gupta, K Choudhary, F Tavazza, W Liao, ... npj Computational Materials 9 (1), 111, 2023 | 7 | 2023 |
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations Y Mao, S Keshavarz, V Gupta, ACE Reid, W Liao, A Choudhary, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification Y Mao, V Gupta, K Wang, W Liao, A Choudhary, A Agrawal | 3* | |
A deep learning-based crystal plasticity finite element model Y Mao, S Keshavarz, MNT Kilic, K Wang, Y Li, ACE Reid, W Liao, ... Scripta Materialia 254, 116315, 2025 | 2 | 2025 |
Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset V Gupta, Y Lyu, D Suarez, Y Mao, WK Liao, A Choudhary, WK Liu, ... Proceedings of the 2023 Fifteenth International Conference on Contemporary …, 2023 | 2 | 2023 |
Developing and validating a machine learning model to predict successful next-day extubation in the ICU SW Fenske, A Peltekian, M Kang, NS Markov, M Zhu, K Grudzinski, ... medRxiv, 2024.06. 28.24309547, 2024 | 1 | 2024 |
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction Y Mao, M Hasan, C Lee, MNT Kilic, V Gupta, WK Liao, A Choudhary, ... 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | | 2023 |
Materials Property Predictor for Crystalline Materials Using Cross-Property Deep Transfer Learning Framework V Gupta, K Choudhary, Y Mao, K Wang, F Tavazza, C Campbell, W Liao, ... | | |