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Narayanan Krishnamoorthy, Anand
120  Ergebnisse:
englisch X
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1

Data‐Driven Analysis of High‐Throughput Experiments on Liqu..:

Narayanan Krishnamoorthy, Anand ; Wölke, Christian ; Diddens, Diddo...
Chemistry–Methods.  2 (2022)  9 - p. , 2022
Link: https://doi.org/10.1002/..
 
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2

DFT Accurate Interatomic Potential for Molten NaCl from Mac..:

Tovey, Samuel ; Narayanan Krishnamoorthy, Anand ; Sivaraman, Ganesh...
The Journal of Physical Chemistry C.  124 (2020)  47 - p. 25760-25768 , 2020
Link: https://doi.org/10.1021/..
 
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3

Specific ion effects for polyelectrolytes in aqueous and no..:

Narayanan Krishnamoorthy, Anand ; Holm, Christian ; Smiatek, Jens
Soft Matter.  14 (2018)  30 - p. 6243-6255 , 2018
Link: https://doi.org/10.1039/..
 
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4

Influence of Cosolutes on Chemical Equilibrium: a Kirkwood–..:

Narayanan Krishnamoorthy, Anand ; Holm, Christian ; Smiatek, Jens
The Journal of Physical Chemistry C.  122 (2018)  19 - p. 10293-10302 , 2018
Link: https://doi.org/10.1021/..
 
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5

Local Water Dynamics around Antifreeze Protein Residues in ..:

Narayanan Krishnamoorthy, Anand ; Holm, Christian ; Smiatek, Jens
The Journal of Physical Chemistry B.  118 (2014)  40 - p. 11613-11621 , 2014
Link: https://doi.org/10.1021/..
 
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6

Non-aqueous battery electrolytes: high-throughput experimen..:

Yan, Peng ; Fischer, Mirko ; Martin, Harrison...
Journal of Materials Chemistry A.  12 (2024)  30 - p. 19123-19136 , 2024
Link: https://doi.org/10.1039/..
 
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7

Unravelling the effect of molecular interactions on macrosc..:

Chakraborti, Tamaghna ; Sharma, Riya ; Krishnamoorthy, Anand Narayanan...
Journal of Membrane Science.  705 (2024)  - p. 122887 , 2024
Link: https://doi.org/10.1016/..
 
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8

Mechanistic understanding of the correlation between struct..:

Maiti, Moumita ; Krishnamoorthy, Anand Narayanan ; Mabrouk, Youssef...
Physical Chemistry Chemical Physics.  25 (2023)  30 - p. 20350-20364 , 2023
Link: https://doi.org/10.1039/..
 
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9

High‐Throughput Experimentation and Computational Freeway L..:

Benayad, Anass ; Diddens, Diddo ; Heuer, Andreas...
Advanced Energy Materials.  12 (2021)  17 - p. , 2021
Link: https://doi.org/10.1002/..
 
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10

Experimentally Driven Automated Machine-Learned Interatomic..:

Sivaraman, Ganesh ; Gallington, Leighanne ; Krishnamoorthy, Anand Narayanan...
Physical Review Letters.  126 (2021)  15 - p. , 2021
Link: https://doi.org/10.1103/..
 
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11

Machine-learned interatomic potentials by active learning: ..:

Sivaraman, Ganesh ; Krishnamoorthy, Anand Narayanan ; Baur, Matthias...
npj Computational Materials.  6 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
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12

Preferential solvation and ion association properties in aq..:

Krishnamoorthy, Anand Narayanan ; Zeman, Johannes ; Holm, Christian.
Physical Chemistry Chemical Physics.  18 (2016)  45 - p. 31312-31322 , 2016
Link: https://doi.org/10.1039/..
 
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13

Data‐Driven Analysis of High‐Throughput Experiments on Liqu..:

Narayanan Krishnamoorthy, Anand ; Wölke, Christian ; Diddens, Diddo...
info:eu-repo/semantics/altIdentifier/doi/10.1002/cmtd.202200008.  , 2022
Link: https://juser.fz-juelich..
 
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14

Modeling of complex electrolytes : a numerical simulation s..:

Narayanan Krishnamoorthy, Anand
1757754741.  , 2021
Link: https://doi.org/10.18419..
 
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15

High‐Throughput Experimentation and Computational Freeway L..:

Benayad, Anass ; Diddens, Diddo ; Winter, Martin...
info:eu-repo/semantics/altIdentifier/wos/WOS:000716195600001.  , 2021
Link: https://juser.fz-juelich..
 
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