Marcos del Cueto

Marcos del Cueto

University of Liverpool

H-index: 10

Europe-United Kingdom

About Marcos del Cueto

Marcos del Cueto, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Liverpool,

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-Driven Analysis of Hole-Transporting Materials for Perovskite Solar Cells Performance

Stereodynamics effects in grazing-incidence fast-molecule diffraction

Limitations of machine learning models when predicting compounds with completely new chemistries: possible improvements applied to the discovery of new non-fullerene acceptors

rsc. li/pccp

High-throughput virtual screening for organic electronics: a comparative study of alternative strategies

Determining usefulness of machine learning in materials discovery using simulated research landscapes

Effect of Increasing the Descriptor Set on Machine Learning Prediction of Small Molecule-Based Organic Solar Cells

Accurate simulations of atomic diffractive scattering from KCl (0 0 1) under fast grazing incidence conditions

Marcos del Cueto Information

University

Position

___

Citations(all)

379

Citations(since 2020)

293

Cited By

180

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Top articles of Marcos del Cueto

Data-Driven Analysis of Hole-Transporting Materials for Perovskite Solar Cells Performance

The Journal of Physical Chemistry C

2022/7/29

Marcos Del Cueto
Marcos Del Cueto

H-Index: 6

Alessandro Troisi
Alessandro Troisi

H-Index: 39

Stereodynamics effects in grazing-incidence fast-molecule diffraction

Physical Chemistry Chemical Physics

2022

Limitations of machine learning models when predicting compounds with completely new chemistries: possible improvements applied to the discovery of new non-fullerene acceptors

Digital discovery

2022

Marcos Del Cueto
Marcos Del Cueto

H-Index: 6

Alessandro Troisi
Alessandro Troisi

H-Index: 39

High-throughput virtual screening for organic electronics: a comparative study of alternative strategies

2021

Determining usefulness of machine learning in materials discovery using simulated research landscapes

Physical Chemistry Chemical Physics

2021

Marcos Del Cueto
Marcos Del Cueto

H-Index: 6

Alessandro Troisi
Alessandro Troisi

H-Index: 39

Effect of Increasing the Descriptor Set on Machine Learning Prediction of Small Molecule-Based Organic Solar Cells

Chemistry of Materials

2020/8/25

Marcos Del Cueto
Marcos Del Cueto

H-Index: 6

Alessandro Troisi
Alessandro Troisi

H-Index: 39

Accurate simulations of atomic diffractive scattering from KCl (0 0 1) under fast grazing incidence conditions

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms

2020/8/1

New Perspectives on CO2–Pt(111) Interaction with a High-Dimensional Neural Network Potential Energy Surface

The Journal of Physical Chemistry C

2020/2/10

See List of Professors in Marcos del Cueto University(University of Liverpool)

Co-Authors

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