Valentin Vassilev-Galindo

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Universidad Pública de Navarra (UPNA)

Spain

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Recent Grants

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High-throughput Discovery of Catalysts for the Hydrogen Economy through Machine Learning

Open Date: 2023-04-01

Close Date: 2025-03-31

Articles (10)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2021

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2021

Collaborators (4)

Javier LLorca

Professor

Universidad Politécnica de Madrid

SPAIN

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Alexandre Tkatchenko

LUXEMBOURG

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John A. Keith

University of Pittsburgh

UNITED STATES

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Angel Martín Pendás

Professor

University of Oviedo

SPAIN

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Valentin Vassilev-Galindo

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (10)

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 Coverage

Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors

Application of machine learning to assess the influence of microstructure on twin nucleation in Mg alloys

Application of machine learning to discover new intermetallic catalysts for the hydrogen evolution and the oxygen reduction reactions

Modeling molecular ensembles with gradient-domain machine learning force fields

Author Correction: Efficient interatomic descriptors for accurate machine learning force fields of extended molecules

Efficient interatomic descriptors for accurate machine learning force fields of extended molecules

Accurate global machine learning force fields for molecules with hundreds of atoms

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

Challenges for machine learning force fields in reproducing potential energy surfaces of flexible molecules

Collaborators (4)

Javier LLorca

Alexandre Tkatchenko

John A. Keith

Angel Martín Pendás

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