| Machine learning accelerates the discovery of design rules and exceptions in stable metal–oxo intermediate formation A Nandy, J Zhu, JP Janet, C Duan, RB Getman, HJ Kulik Acs Catalysis 9 (9), 8243-8255, 2019 | 94 | 2019 |
| Reaction Pathways and Microkinetic Modeling of n-Butane Oxidation to 1-Butanol on Cu, Cu3Pd, Pd, Ag3Pd, and PdZn (111) Surfaces J Zhu, RB Getman Industrial & Engineering Chemistry Research 57 (16), 5580-5590, 2018 | 9 | 2018 |
| Effect of manganese substitution of ferrite nanoparticles on particle grain structure Z Yan, A Chaluvadi, S FitzGerald, S Spence, C Bleyer, J Zhu, ... Nanoscale Advances 4 (18), 3957-3965, 2022 | 6 | 2022 |
| An automated carcinogenic potency categorization approach for nitrosamine drug substance-related impurities J Zhu, Y Qu, N Ye Green Chemistry 26 (7), 3717-3721, 2024 | 3 | 2024 |
| 6‐Hydroxy Picolinohydrazides Promoted Cu (I)‐Catalyzed Hydroxylation Reaction in Water: Machine‐Learning Accelerated Ligands Design and Reaction Optimization L Xu, J Zhu, X Shen, J Chai, L Shi, B Wu, W Li, D Ma Angewandte Chemie, e202412552, 2024 | 1 | 2024 |
| Autonomous Carcinogenic Potency Categorization Approach for Nitrosamine Drug Substance-related Impurities J Zhu, Y Qu, N Ye | 1 | 2023 |
| Computational Exploration of Magnetic Saturation and Anisotropy Energy for Nonstoichiometric Ferrite Compositions VR Punyapu, J Zhu, P Meza-Morales, A Chaluvadi, OT Mefford, ... arXiv preprint arXiv:2309.09754, 2023 | | 2023 |
| Computational Exploration of Magnetic Saturation and Anisotropy Energy for Nonstoichiometric Ferrite Compositions V Rohit Punyapu, J Zhu, P Meza-Morales, A Chaluvadi, ... arXiv e-prints, arXiv: 2309.09754, 2023 | | 2023 |
| Thermodynamics of Environment-Dependent Chemisorption on Metal Surfaces Versus Metal Oxo Cations S Vicchio, J Zhu, ST Dix, H Shabbir, R Getman 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Intelligent Design of Substituted Ferrite Materials for Magnetically Modulated Energy Delivery Applications: Density Functional Theory and Machine Learning Study P Meza-Morales, A Chaluvadi, J Zhu, O Mefford, RB Getman 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Using Machine Learning to Predict Catalytic Activities on Single Atom Catalysts J Zhu, R Getman 2019 North American Catalysis Society Meeting, 2019 | | 2019 |
| Selective oxidation of n-butane to 1-butanol over transition metal catalysts encapsulated by metal-organic frameworks S Dix, D Gomez-Gualdron, J Zhu, J Scott, C Campbell, R Getman ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 251, 2016 | | 2016 |
| Density Functional Theory Simulations of MOFs Encapsulated-Catalyzed Systems J Zhu, RB Getman | | 2015 |
| Supporting Information for Machine Learning Accelerates the Discovery of Design Rules and Exceptions in Stable Metal-Oxo Intermediate Formation A Nandy, J Zhu, JP Janet, C Duan, RB Getman, HJ Kulik | | |
