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Vassilev-Galindo, Valentin
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1

Application of machine learning to assess the influence of ..:

Yang, Biaobiao ; Vassilev-Galindo, Valentin ; Llorca, Javier
npj Computational Materials.  10 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Explainable chemical artificial intelligence from accurate ..:

Gallegos, Miguel ; Vassilev-Galindo, Valentin ; Poltavsky, Igor..
Nature Communications.  15 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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3

Application of machine learning to discover new intermetall..:

Martínez-Alonso, Carmen ; Vassilev-Galindo, Valentin ; Comer, Benjamin M....
Catalysis Science & Technology.  14 (2024)  13 - p. 3784-3799 , 2024
Link: https://doi.org/10.1039/..
 
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4

Modeling molecular ensembles with gradient-domain machine l..:

Maldonado, Alex M. ; Poltavsky, Igor ; Vassilev-Galindo, Valentin..
Digital Discovery.  2 (2023)  3 - p. 871-880 , 2023
Link: https://doi.org/10.1039/..
 
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5

Author Correction: Efficient interatomic descriptors for ac..:

Kabylda, Adil ; Vassilev-Galindo, Valentin ; Chmiela, Stefan..
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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6

Efficient interatomic descriptors for accurate machine lear..:

Kabylda, Adil ; Vassilev-Galindo, Valentin ; Chmiela, Stefan..
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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7

Challenges for machine learning force fields in reproducing..:

Vassilev-Galindo, Valentin ; Fonseca, Gregory ; Poltavsky, Igor.
The Journal of Chemical Physics.  154 (2021)  9 - p. , 2021
Link: https://doi.org/10.1063/..
 
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8

Combining Machine Learning and Computational Chemistry for ..:

Keith, John A. ; Vassilev-Galindo, Valentin ; Cheng, Bingqing...
Chemical Reviews.  121 (2021)  16 - p. 9816-9872 , 2021
Link: https://doi.org/10.1021/..
 
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9

Dynamical strengthening of covalent and non-covalent molecu..:

Sauceda, Huziel E. ; Vassilev-Galindo, Valentin ; Chmiela, Stefan..
Nature Communications.  12 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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10

Improving molecular force fields across configurational spa..:

Fonseca, Gregory ; Poltavsky, Igor ; Vassilev-Galindo, Valentin.
The Journal of Chemical Physics.  154 (2021)  12 - p. , 2021
Link: https://doi.org/10.1063/..
 
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11

Planar pentacoordinate carbon atoms embedded in a metalloce..:

Cui, Zhong-hua ; Vassilev-Galindo, Valentin ; Luis Cabellos, José...
Chemical Communications.  53 (2017)  1 - p. 138-141 , 2017
Link: https://doi.org/10.1039/..
 
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12

Analysis of the CO2 absorption through a series of amines w..:

Vassilev-Galindo, Valentín ; Matus, Myrna H. ; Morales-Cabrera, Miguel A.
International Journal of Greenhouse Gas Control.  50 (2016)  - p. 198-205 , 2016
Link: https://doi.org/10.1016/..
 
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13

Water, Methanol, and Acetonitrile Many-Body GDML Data and A..:

Maldonado, Alex M ; Poltavsky, Igor ; Vassilev-Galindo, Valentin..
https://github.com/keithgroup/mbgdml-h2o-meoh-mecn/tree/v1.0.1.  , 2023
Link: https://zenodo.org/recor..
 
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14

Author Correction: Efficient interatomic descriptors for ac..:

Kabylda, Adil ; Vassilev-Galindo, Valentin ; Chmiela, Stefan..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336071/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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15

Accurate global machine learning force fields for molecules..:

Chmiela, Stefan ; Vassilev-Galindo, Valentin ; Unke, Oliver T...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833674/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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