| Density Functional Theory in Transition-Metal Chemistry: A Self-Consistent Hubbard Approach HJ Kulik, M Cococcioni, DA Scherlis, N Marzari Physical Review Letters 97 (10), 103001, 2006 | 757 | 2006 |
| Understanding the diversity of the metal-organic framework ecosystem SM Moosavi, A Nandy, KM Jablonka, D Ongari, JP Janet, PG Boyd, Y Lee, ... Nature communications 11 (1), 1-10, 2020 | 654 | 2020 |
| Protection of tissue physicochemical properties using polyfunctional crosslinkers YG Park, CH Sohn, R Chen, M McCue, DH Yun, GT Drummond, T Ku, ... Nature biotechnology 37 (1), 73-83, 2019 | 480 | 2019 |
| Critical knowledge gaps in mass transport through single-digit nanopores: a review and perspective S Faucher, N Aluru, MZ Bazant, D Blankschtein, AH Brozena, J Cumings, ... The Journal of Physical Chemistry C 123 (35), 21309-21326, 2019 | 378 | 2019 |
| Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning A Nandy, C Duan, MG Taylor, F Liu, AH Steeves, HJ Kulik Chemical Reviews 121 (16), 9927-10000, 2021 | 335 | 2021 |
| Resolving transition metal chemical space: Feature selection for machine learning and structure–property relationships JP Janet, HJ Kulik The Journal of Physical Chemistry A 121 (46), 8939-8954, 2017 | 319 | 2017 |
| Mechanically triggered heterolytic unzipping of a low-ceiling-temperature polymer CE Diesendruck, GI Peterson, HJ Kulik, JA Kaitz, BD Mar, PA May, ... Nature chemistry 6 (7), 623-628, 2014 | 272 | 2014 |
| A quantitative uncertainty metric controls error in neural network-driven chemical discovery JP Janet, C Duan, T Yang, A Nandy, HJ Kulik Chemical science 10 (34), 7913-7922, 2019 | 266 | 2019 |
| Perspective: Treating electron over-delocalization with the DFT+ U method HJ Kulik The Journal of chemical physics 142 (24), 240901, 2015 | 265 | 2015 |
| molSimplify: A toolkit for automating discovery in inorganic chemistry EI Ioannidis, TZH Gani, HJ Kulik Journal of computational chemistry 37 (22), 2106-2117, 2016 | 256 | 2016 |
| Accelerating chemical discovery with machine learning: simulated evolution of spin crossover complexes with an artificial neural network JP Janet, L Chan, HJ Kulik The Journal of Physical Chemistry Letters 9 (5), 1064-1071, 2018 | 240 | 2018 |
| How large should the QM region be in QM/MM calculations? The case of catechol O-methyltransferase HJ Kulik, J Zhang, JP Klinman, TJ Martinez The Journal of Physical Chemistry B 120 (44), 11381-11394, 2016 | 240 | 2016 |
| Predicting electronic structure properties of transition metal complexes with neural networks JP Janet, HJ Kulik Chemical Science 8 (7), 5137-5152, 2017 | 237 | 2017 |
| Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022 | 203 | 2022 |
| Accurate Multiobjective Design in a Space of Millions of Transition Metal Complexes with Neural-Network-Driven Efficient Global Optimization JP Janet, S Ramesh, C Duan, HJ Kulik ACS Central Science 6 (4), 513-524, 2020 | 203 | 2020 |
| Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal–Organic Frameworks A Nandy, C Duan, HJ Kulik Journal of the American Chemical Society, 2021 | 189 | 2021 |
| Fluids and electrolytes under confinement in single-digit nanopores NR Aluru, F Aydin, MZ Bazant, D Blankschtein, AH Brozena, JP de Souza, ... Chemical reviews 123 (6), 2737-2831, 2023 | 184 | 2023 |
| Strategies and software for machine learning accelerated discovery in transition metal chemistry A Nandy, C Duan, JP Janet, S Gugler, HJ Kulik Industrial & Engineering Chemistry Research 57 (42), 13973-13986, 2018 | 181 | 2018 |
| Understanding and Breaking Scaling Relations in Single-Site Catalysis: Methane to Methanol Conversion by FeIV=O TZH Gani, HJ Kulik ACS Catalysis 8 (2), 975-986, 2018 | 169 | 2018 |
| Ionization behavior of nanoporous polyamide membranes CL Ritt, JR Werber, M Wang, Z Yang, Y Zhao, HJ Kulik, M Elimelech Proceedings of the National Academy of Sciences, 2020 | 167 | 2020 |
Aditya NandyAssistant Professor of Chemical and Biomolecular Engineering at UCLAVerified email at ucla.edu
