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Arunachalam, Naveen
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1

Ligand additivity relationships enable efficient exploratio..:

Arunachalam, Naveen ; Gugler, Stefan ; Taylor, Michael G....
The Journal of Chemical Physics.  157 (2022)  18 - p. , 2022
Link: https://doi.org/10.1063/..
 
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2

Representations and strategies for transferable machine lea..:

Harper, Daniel R. ; Nandy, Aditya ; Arunachalam, Naveen...
The Journal of Chemical Physics.  156 (2022)  7 - p. , 2022
Link: https://doi.org/10.1063/..
 
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3

MOFSimplify, machine learning models with extracted stabili..:

Nandy, Aditya ; Terrones, Gianmarco ; Arunachalam, Naveen...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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4

A transferable recommender approach for selecting the best ..:

Duan, Chenru ; Nandy, Aditya ; Meyer, Ralf..
Nature Computational Science.  3 (2022)  1 - p. 38-47 , 2022
Link: https://doi.org/10.1038/..
 
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5

Large-scale comparison of 3d and 4d transition metal comple..:

Nandy, Aditya ; Chu, Daniel B. K. ; Harper, Daniel R....
Physical Chemistry Chemical Physics.  22 (2020)  34 - p. 19326-19341 , 2020
Link: https://doi.org/10.1039/..
 
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6

Ligand additivity relationships enable efficient exploratio..:

Arunachalam, Naveen ; Gugler, Stefan ; Taylor, Michael G...
10.1063/5.0125700.  , 2023
Link: https://hdl.handle.net/1..
 
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7

Representations and strategies for transferable machine lea..:

Harper, Daniel R ; Nandy, Aditya ; Arunachalam, Naveen...
10.1063/5.0082964.  , 2022
Link: https://hdl.handle.net/1..
 
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8

Data set for Ligand additivity relationships enable efficie..:

Arunachalam, Naveen ; Gugler, Stefan ; Taylor, Michael G...
doi:10.5281/zenodo.7224792.  , 2022
Link: https://zenodo.org/recor..
 
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9

Ligand additivity relationships enable efficient exploratio..:

Arunachalam, Naveen ; Gugler, Stefan ; Taylor, Michael G...
http://arxiv.org/abs/2209.05412.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

MOFSimplify, machine learning models with extracted stabili..:

Nandy, Aditya ; Terrones, Gianmarco ; Arunachalam, Naveen...
http://dx.doi.org/10.1038/s41597-022-01181-0.  , 2022
Link: https://hdl.handle.net/1..
 
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11

MOFSimplify, machine learning models with extracted stabili..:

Nandy, Aditya ; Terrones, Gianmarco ; Arunachalam, Naveen...
10.1038/s41597-022-01181-0.  , 2022
Link: https://hdl.handle.net/1..
 
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12

MOFSimplify, machine learning models with extracted stabili..:

Nandy, Aditya ; Terrones, Gianmarco ; Arunachalam, Naveen...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917177/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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13

A Transferable Recommender Approach for Selecting the Best ..:

Duan, Chenru ; Nandy, Aditya ; Meyer, Ralf..
http://arxiv.org/abs/2207.10747.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Representations and Strategies for Transferable Machine Lea..:

Harper, Daniel R ; Nandy, Aditya ; Arunachalam, Naveen...
http://arxiv.org/abs/2106.10768.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Large-scale comparison of 3d and 4d transition metal comple..:

Nandy, Aditya ; Chu, Daniel BK ; Harper, Daniel R...
10.1039/d0cp02977g.  , 2020
Link: https://hdl.handle.net/1..
 
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