| ET-AL: Entropy-targeted active learning for bias mitigation in materials data H Zhang, WW Chen, JM Rondinelli, W Chen Applied Physics Reviews 10 (2), 021403, 2023 | 25 | 2023 |
| High-throughput investigation of crystal-to-glass transformation of Ti–Ni–Cu ternary alloy J Hui, H Ma, Z Wu, Z Zhang, Y Ren, H Zhang, L Zhang, H Wang Scientific Reports 9 (1), 19932, 2019 | 16 | 2019 |
| Uncertainty-aware mixed-variable machine learning for materials design H Zhang, WW Chen, A Iyer, DW Apley, W Chen Scientific Reports 12 (1), 19760, 2022 | 15 | 2022 |
| Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning J Chen, H Zhang, CB Wahl, W Liu, CA Mirkin, VP Dravid, DW Apley, ... Proceedings of the National Academy of Sciences 120 (46), e2309240120, 2023 | 11 | 2023 |
| High-throughput investigation of structural evolution upon solid-state in Cu–Cr–Co combinatorial multilayer thin-film J Hui, Q Hu, H Zhang, Y Luo, Y Ren, Z Zhang, H Wang Materials & Design 215, 110455, 2022 | 11 | 2022 |
| Investigation of synchrotron X-ray induced oxidation of Ag–Cu thin-film J Hui, H Zhang, Q Hu, Z Zhang, Y Ren, L Zhang, H Wang Materials Letters 272, 127843, 2020 | 7 | 2020 |
| Learning Molecular Mixture Property Using Chemistry-Aware Graph Neural Network H Zhang, T Lai, J Chen, A Manthiram, JM Rondinelli, W Chen PRX Energy 3 (2), 023006, 2024 | 3* | 2024 |
| Graph Representation of Local Environments for Learning High-Entropy Alloy Properties H Zhang, R Huang, J Chen, J Rondinelli, W Chen AI for Accelerated Materials Design-NeurIPS, 2024 | 3* | 2024 |
| Bayesian Optimization of Environmentally Sustainable Graphene Inks Produced by Wet Jet Milling LE Chaney, A van Beek, JR Downing, J Zhang, H Zhang, J Hui, ... Small 20 (33), 2309579, 2024 | 2 | 2024 |
| Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning J Chen, P Ou, Y Chang, H Zhang, XY Li, EH Sargent, W Chen arXiv preprint arXiv:2404.12445, 2024 | 1 | 2024 |
| Mitigating Bias in Scientific Data: A Materials Science Case Study H Zhang, WW Chen, J Rondinelli, W Chen NeurIPS 2023 AI for Science Workshop, 2023 | 1 | 2023 |
| Demand-Driven Materials Design H Zhang Journal of Shanghai Jiao Tong University 55 (Sup. 1), 93, 2021 | 1* | 2021 |
| Emerging microelectronic materials by design: Navigating combinatorial design space with scarce and dispersed data H Zhang, AB Georgescu, S Yerramilli, C Karpovich, DW Apley, EA Olivetti, ... arXiv preprint arXiv:2412.17283, 2024 | | 2024 |
| High-entropy alloy electrocatalysts screened using machine learning informed by quantum-inspired similarity analysis Y Chang, I Benlolo, Y Bai, C Reimer, D Zhou, H Zhang, H Matsumura, ... Matter 7 (11), 4099-4113, 2024 | | 2024 |
| Supervised Contrastive Learning for Electric Motor Bearing Fault Detection H Zhang, B Wang International Conference on Electrical Machines (ICEM), 1-7, 2024 | | 2024 |
| Automated Crystal System Identification from Four-dimensional Scanning Transmission Electron Microscopy Data Using Brain-inspired Artificial Intelligence CB Wahl, J Chen, H Zhang, W Liu, S Zhang, J Wu, CA Mirkin, VP Dravid, ... Microscopy and Microanalysis 29 (Supplement_1), 1883-1884, 2023 | | 2023 |
Wei ChenNorthwestern UniversityVerified email at northwestern.edu