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Valentin Vassilev-Galindo

Showing results (1-10 of 11) with videos related to

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Chemical Science|November 20, 2025
Explainable artificial intelligence for materials discovery: application to catalysts for the HER and ORRValentin Vassilev-Galindo, Javier LLorca
The Journal of Chemical Physics|March 9, 2021
Challenges for machine learning force fields in reproducing potential energy surfaces of flexible moleculesValentin Vassilev-Galindo, Gregory Fonseca, Igor Poltavsky, et al.
The Journal of Chemical Physics|April 3, 2021
Improving molecular force fields across configurational space by combining supervised and unsupervised machine learningGregory Fonseca, Igor Poltavsky, Valentin Vassilev-Galindo, et al.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|October 1, 2025
Computational Study to Assess the Influence of Elastic Strains on the Catalytic Activity of Au Surfaces for the HER and ORR Including the Effect of CoverageDiego Schaefer-Dalmau, Carmen Martínez-Alonso, Javier LLorca, et al.
Nature Communications|July 11, 2023
Author Correction: Efficient interatomic descriptors for accurate machine learning force fields of extended moleculesAdil Kabylda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Nature Communications|June 15, 2023
Efficient interatomic descriptors for accurate machine learning force fields of extended moleculesAdil Kabylda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Nature Communications|May 21, 2024
Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptorsMiguel Gallegos, Valentin Vassilev-Galindo, Igor Poltavsky, et al.
Nature Communications|January 20, 2021
Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperatureHuziel E Sauceda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Chemical Reviews|July 7, 2021
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical SystemsJohn A Keith, Valentin Vassilev-Galindo, Bingqing Cheng, et al.
Science Advances|January 11, 2023
Accurate global machine learning force fields for molecules with hundreds of atomsStefan Chmiela, Valentin Vassilev-Galindo, Oliver T Unke, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Chemical Science|November 20, 2025
Explainable artificial intelligence for materials discovery: application to catalysts for the HER and ORRValentin Vassilev-Galindo, Javier LLorca
The Journal of Chemical Physics|March 9, 2021
Challenges for machine learning force fields in reproducing potential energy surfaces of flexible moleculesValentin Vassilev-Galindo, Gregory Fonseca, Igor Poltavsky, et al.
The Journal of Chemical Physics|April 3, 2021
Improving molecular force fields across configurational space by combining supervised and unsupervised machine learningGregory Fonseca, Igor Poltavsky, Valentin Vassilev-Galindo, et al.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|October 1, 2025
Computational Study to Assess the Influence of Elastic Strains on the Catalytic Activity of Au Surfaces for the HER and ORR Including the Effect of CoverageDiego Schaefer-Dalmau, Carmen Martínez-Alonso, Javier LLorca, et al.
Nature Communications|July 11, 2023
Author Correction: Efficient interatomic descriptors for accurate machine learning force fields of extended moleculesAdil Kabylda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Nature Communications|June 15, 2023
Efficient interatomic descriptors for accurate machine learning force fields of extended moleculesAdil Kabylda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Nature Communications|May 21, 2024
Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptorsMiguel Gallegos, Valentin Vassilev-Galindo, Igor Poltavsky, et al.
Nature Communications|January 20, 2021
Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperatureHuziel E Sauceda, Valentin Vassilev-Galindo, Stefan Chmiela, et al.
Chemical Reviews|July 7, 2021
Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical SystemsJohn A Keith, Valentin Vassilev-Galindo, Bingqing Cheng, et al.
Science Advances|January 11, 2023
Accurate global machine learning force fields for molecules with hundreds of atomsStefan Chmiela, Valentin Vassilev-Galindo, Oliver T Unke, et al.
Pageof 2