Anand Narayanan Krishnamoorthy
Anand Narayanan Krishnamoorthy
Подтвержден адрес электронной почты в домене icp.uni-stuttgart.de - Главная страница
Название
Процитировано
Процитировано
Год
Local water dynamics around antifreeze protein residues in the presence of osmolytes: the importance of hydroxyl and disaccharide groups
A Narayanan Krishnamoorthy, C Holm, J Smiatek
The Journal of Physical Chemistry B 118 (40), 11613-11621, 2014
302014
Preferential solvation and ion association properties in aqueous dimethyl sulfoxide solutions
AN Krishnamoorthy, J Zeman, C Holm, J Smiatek
Physical Chemistry Chemical Physics 18 (45), 31312-31322, 2016
242016
Influence of Cosolutes on Chemical Equilibrium: a Kirkwood–Buff Theory for Ion Pair Association–Dissociation Processes in Ternary Electrolyte Solutions
A Narayanan Krishnamoorthy, C Holm, J Smiatek
The Journal of Physical Chemistry C 122 (19), 10293-10302, 2018
142018
Specific ion effects for polyelectrolytes in aqueous and non-aqueous media: the importance of the ion solvation behavior
AN Krishnamoorthy, C Holm, J Smiatek
Soft Matter 14 (30), 6243-6255, 2018
112018
Electrolyte solvents for high voltage lithium ion batteries: ion correlation and specific anion effects in adiponitrile
CHJS Anand Narayanan Krishnamoorthy, Kristina Oldiges, Martin Winter ...
Physical Chemistry Chemical Physics, 2018
10*2018
Electrolyte solvents for high voltage lithium ion batteries: Ion pairing mechanisms, ionic conductivity, and specific anion effects in adiponitrile
AN Krishnamoorthy, K Oldiges, A Heuer, M Winter, I Cekic-Laskovic, ...
Phys. Chem. Chem. Phys 20, 25861-25874, 2018
52018
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide
G Sivaraman, AN Krishnamoorthy, M Baur, C Holm, M Stan, G Csányi, ...
npj Computational Materials 6 (1), 1-8, 2020
42020
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
G Sivaraman, AN Krishnamoorthy, M Baur, C Holm, M Stan, G Csányi, ...
arXiv preprint arXiv:1910.10254, 2019
32019
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
G Sivaraman, L Gallington, AN Krishnamoorthy, M Stan, G Csanyi, ...
arXiv preprint arXiv:2009.04045, 2020
2020
DFT Accurate Interatomic Potential for Molten NaCl from Machine Learning
S Tovey, A Narayanan Krishnamoorthy, J Guo, C Benmore, A Heuer, ...
ChemRxiv, 2020
2020
Active Learning Driven Machine Learning Inter-Atomic Potentials Generation: A Case Study for Hafnium dioxide
G Sivaraman, A Krishnamoorthy, M Baur, C Holm, M Stan, G Csányi, ...
Bulletin of the American Physical Society 65, 2020
2020
Force Field Optimization for Ionic Liquids: FFOIL
K Breitsprecher, NK Anand, J Smiatek, C Holm
High Performance Computing in Science and Engineering´ 15, 101-117, 2016
2016
INFLUENCE OF ANTIFREEZE PROTEINS ON LOCAL WATER STRUCTURE DYNAMICS IN PRESENCE OF OSMOLYTES
AN KRISHNAMOORTHY
TASK QUARTERLY 17 (1-2), 5-42, 2013
2013
This journal is© The Royal Society of Chemistry 2018
AN Krishnamoorthy, C Holm, J Smiatek
Molecular Dynamics Simulation of Sulfone Linked Sulfonated Dimers
AN Krishnamoorthy, J Smiatek, C Holm
Computational Trends in Solvation and Transport in Liquids, 63, 0
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