Valentín Vassilev-Galindo

IMDEA Materials Institute

11H指数

28论文数

1.5K被引数

收录论文 14

发表时间

Intercalated carbon nanotube fibers with high specific electrical conductivity 插层碳纳米管纤维具有高比电导率

Science

IF45.8

2026-04-23

PREAI

A. I. de Isidro-Gómez; V. Vassilev-Galindo; A. Mikhalchan; M. Pelaez-Fernandez; J. LLorca; R. Arenal; J. J. Vilatela

Modulating the Electrocatalytic Activity of Intermetallic Compounds for the Hydrogen Evolution Reaction via Elastic Strain Engineering 通过弹性应变工程调节金属间化合物的电催化活性用于氢气生成反应

ACS Catalysis

IF13.1

2025-11-24

PREAI

J. Redondo; J. Subbian; M. A. Monclus; V. Vassilev-Galindo; J. M. Molina-Aldareguia; J. LLorca

Explainable artificial intelligence for materials discovery: application to catalysts for the HER and ORR 可解释人工智能在材料发现中的应用：对HER和ORR催化剂的应用

Chem. Sci.

IF7.4

2025-11-17

OAAI

Valentin Vassilev-Galindo; Javier Llorca

Explainable chemical artificial intelligence from accurate machine learning of real-space chemical descriptors 来自真实空间化学描述符的精确机器学习的可解释化学人工智能

NATURE COMMUNICATIONS

IF15.7

2024-05-21

OAAI

Gallegos, Miguel; Vassilev-Galindo, Valentin; Poltavsky, Igor; Martin Pendas, Angel; Tkatchenko, Alexandre

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

NPJ COMPUTATIONAL MATERIALS

IF11.9

2024-01-30

OAAI

Yang, Biaobiao; Vassilev-Galindo, Valentin; Llorca, Javier

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

CATALYSIS SCIENCE & TECHNOLOGY

IF4.2

2024-01-01

PREAI

Martinez-Alonso, Carmen; Vassilev-Galindo, Valentin; Comer, Benjamin M.; Abild-Pedersen, Frank; Winther, Kirsten T.; Llorca, Javier

Efficient interatomic descriptors for accurate machine learning force fields of extended molecules (vol 14, 3562, 2023)

NATURE COMMUNICATIONS

IF15.7

2023-07-11

OAAI

Kabylda, Adil; Vassilev-Galindo, Valentin; Chmiela, Stefan; Poltavsky, Igor; Tkatchenko, Alexandre

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

NATURE COMMUNICATIONS

IF15.7

2023-06-15

OAAI

Kabylda, Adil; Vassilev-Galindo, Valentin; Chmiela, Stefan; Poltavsky, Igor; Tkatchenko, Alexandre

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

SCIENCE ADVANCES

IF12.5

2023-01-13

OAAI

Chmiela, Stefan; Vassilev-Galindo, Valentin; Unke, Oliver T.; Kabylda, Adil; Sauceda, Huziel E.; Tkatchenko, Alexandre; Mueller, Klaus-Robert

Modeling molecular ensembles with gradient-domain machine learning force fields

DIGITAL DISCOVERY

IF5.6

2023-01-01

OAAI

Maldonado, Alex M.; Poltavsky, Igor; Vassilev-Galindo, Valentin; Tkatchenko, Alexandre; Keith, John A.

Improving molecular force fields across configurational space by combining supervised and unsupervised machine learning

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2021-03-22

OAAI

Fonseca, Gregory; Poltavsky, Igor; Vassilev-Galindo, Valentin; Tkatchenko, Alexandre

Challenges for machine learning force fields in reproducing potential energy surfaces of flexible molecules 机器学习力场在再现柔性分子势能面中的挑战

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2021-03-03

OAAI

Vassilev-Galindo, Valentin; Fonseca, Gregory; Poltavsky, Igor; Tkatchenko, Alexandre

Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature

NATURE COMMUNICATIONS

IF15.7

2021-01-19

OAAI

Sauceda, Huziel E.; Vassilev-Galindo, Valentin; Chmiela, Stefan; Mueller, Klaus-Robert; Tkatchenko, Alexandre

Planar pentacoordinate carbons

NATURE REVIEWS CHEMISTRY

IF51.7

2018-02-07

136

PREAI

Vassilev-Galindo, Valentin; Pan, Sudip; Donald, Kelling J.; Merino, Gabriel

研究方向