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Heather J. Kulik
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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
6582006
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
3832020
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
3142019
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
2852019
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
2402014
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
2372017
Perspective: Treating electron over-delocalization with the DFT+ U method
HJ Kulik
The Journal of chemical physics 142 (24), 240901, 2015
2082015
Predicting electronic structure properties of transition metal complexes with neural networks
JP Janet, HJ Kulik
Chemical Science 8 (7), 5137-5152, 2017
1982017
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
1972018
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
1972016
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
1802019
molSimplify: A toolkit for automating discovery in inorganic chemistry
EI Ioannidis, TZH Gani, HJ Kulik
Journal of computational chemistry 37 (22), 2106-2117, 2016
1662016
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
1552021
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
1512020
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
1472018
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
1452018
Ab initio quantum chemistry for protein structures
HJ Kulik, N Luehr, IS Ufimtsev, TJ Martinez
The Journal of Physical Chemistry B 116 (41), 12501-12509, 2012
1242012
Anion‐Selective Redox Electrodes: Electrochemically Mediated Separation with Heterogeneous Organometallic Interfaces
X Su, HJ Kulik, TF Jamison, TA Hatton
Advanced Functional Materials 26 (20), 3394-3404, 2016
1232016
Systematic study of first-row transition-metal diatomic molecules: A self-consistent approach
HJ Kulik, N Marzari
The Journal of chemical physics 133 (11), 114103, 2010
1162010
Towards quantifying the role of exact exchange in predictions of transition metal complex properties
EI Ioannidis, HJ Kulik
The Journal of chemical physics 143 (3), 034104, 2015
1122015
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