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Marcos Del Cueto

Showing results (1-10 of 8) with videos related to

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Physical Chemistry Chemical Physics : PCCP|June 3, 2021
Determining usefulness of machine learning in materials discovery using simulated research landscapesMarcos Del Cueto, Alessandro Troisi
Digital Discovery|June 30, 2022
Limitations of machine learning models when predicting compounds with completely new chemistries: possible improvements applied to the discovery of new non-fullerene acceptorsZhi-Wen Zhao, Marcos Del Cueto, Alessandro Troisi
Journal of Materials Chemistry. C|November 8, 2021
High-throughput virtual screening for organic electronics: a comparative study of alternative strategiesÖmer H Omar, Marcos Del Cueto, Tahereh Nematiaram, et al.
Journal of Chemical Theory and Computation|January 22, 2026
Predicting S<sub>1</sub> TDDFT Energies from ZINDO Calculations Using Message-Passing ΔML with Electronically Informed DescriptorsAdam Coxson, Ömer H Omar, Marcos Del Cueto, et al.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|August 19, 2022
Data-Driven Analysis of Hole-Transporting Materials for Perovskite Solar Cells PerformanceMarcos Del Cueto, Charles Rawski-Furman, Juan Aragó, et al.
Physical Chemistry Chemical Physics : PCCP|July 10, 2019
Prominent out-of-plane diffraction in helium scattering from a methyl-terminated Si(111) surfaceMarcos Del Cueto, Alberto S Muzas, Terry J Frankcombe, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|January 10, 2019
Performance of van der Waals DFT approaches for helium diffraction on metal surfacesMarcos Del Cueto, Reinhard J Maurer, Amjad Al Taleb, et al.
The Journal of Chemical Physics|September 3, 2016
Experimental and theoretical study of rotationally inelastic diffraction of H2(D2) from methyl-terminated Si(111)Kevin J Nihill, Zachary M Hund, Alberto Muzas, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Physical Chemistry Chemical Physics : PCCP|June 3, 2021
Determining usefulness of machine learning in materials discovery using simulated research landscapesMarcos Del Cueto, Alessandro Troisi
Digital Discovery|June 30, 2022
Limitations of machine learning models when predicting compounds with completely new chemistries: possible improvements applied to the discovery of new non-fullerene acceptorsZhi-Wen Zhao, Marcos Del Cueto, Alessandro Troisi
Journal of Materials Chemistry. C|November 8, 2021
High-throughput virtual screening for organic electronics: a comparative study of alternative strategiesÖmer H Omar, Marcos Del Cueto, Tahereh Nematiaram, et al.
Journal of Chemical Theory and Computation|January 22, 2026
Predicting S<sub>1</sub> TDDFT Energies from ZINDO Calculations Using Message-Passing ΔML with Electronically Informed DescriptorsAdam Coxson, Ömer H Omar, Marcos Del Cueto, et al.
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|August 19, 2022
Data-Driven Analysis of Hole-Transporting Materials for Perovskite Solar Cells PerformanceMarcos Del Cueto, Charles Rawski-Furman, Juan Aragó, et al.
Physical Chemistry Chemical Physics : PCCP|July 10, 2019
Prominent out-of-plane diffraction in helium scattering from a methyl-terminated Si(111) surfaceMarcos Del Cueto, Alberto S Muzas, Terry J Frankcombe, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|January 10, 2019
Performance of van der Waals DFT approaches for helium diffraction on metal surfacesMarcos Del Cueto, Reinhard J Maurer, Amjad Al Taleb, et al.
The Journal of Chemical Physics|September 3, 2016
Experimental and theoretical study of rotationally inelastic diffraction of H2(D2) from methyl-terminated Si(111)Kevin J Nihill, Zachary M Hund, Alberto Muzas, et al.
Pageof 1