Francesco Montalenti

About Francesco Montalenti

Francesco Montalenti, With an exceptional h-index of 36 and a recent h-index of 17 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of Thin Films, Nanostructures, Modeling.

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

Near‐Infrared Light Trapping and Avalanche Multiplication in Silicon Epitaxial Microcrystals

Silicon phase transitions in nanoindentation: Advanced molecular dynamics simulations with machine learning phase recognition

In‐Plane Nanowire Growth of Topological Crystalline Insulator Pb1 − xSnxTe

Accurate generation of stochastic dynamics based on multi-model generative adversarial networks

Learning and accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks

Morphological evolution of films and nanostructures by state-of-the-art Machine Learning approaches

Modeling growth of epitaxial nanostructures by continuum methods and machine learning

In-Plane Nanowire Growth of Topological Crystalline Insulator Pb

Francesco Montalenti Information

University

Position

___

Citations(all)

5575

Citations(since 2020)

1287

Cited By

4852

hIndex(all)

36

hIndex(since 2020)

17

i10Index(all)

111

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Francesco Montalenti Skills & Research Interests

Thin Films

Nanostructures

Modeling

Top articles of Francesco Montalenti

Silicon phase transitions in nanoindentation: Advanced molecular dynamics simulations with machine learning phase recognition

Acta Materialia

2024/1/15

In‐Plane Nanowire Growth of Topological Crystalline Insulator Pb1 − xSnxTe

Advanced Functional Materials

2023/12

Marcel A Verheijen
Marcel A Verheijen

H-Index: 43

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Accurate generation of stochastic dynamics based on multi-model generative adversarial networks

The Journal of Chemical Physics

2023/10/14

Olivier Pierre-Louis
Olivier Pierre-Louis

H-Index: 13

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Learning and accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks

arXiv preprint arXiv:2305.15920

2023/5/25

Olivier Pierre-Louis
Olivier Pierre-Louis

H-Index: 13

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Morphological evolution of films and nanostructures by state-of-the-art Machine Learning approaches

2023

Modeling growth of epitaxial nanostructures by continuum methods and machine learning

2023

In-Plane Nanowire Growth of Topological Crystalline Insulator Pb

2023

Marcel A Verheijen
Marcel A Verheijen

H-Index: 43

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Author Correction: Machine learning potential for interacting dislocations in the presence of free surfaces

Scientific Reports

2023

Fabrizio Rovaris
Fabrizio Rovaris

H-Index: 4

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: Extrapolation and prediction uncertainty

Physical Review Materials

2022/10/3

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Machine learning potential for interacting dislocations in the presence of free surfaces

Scientific Reports

2022/3/8

Fabrizio Rovaris
Fabrizio Rovaris

H-Index: 4

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Atomic-scale insights on the formation of ordered arrays of edge dislocations in Ge/Si (001) films via molecular dynamics simulations

Scientific Reports

2022/2/25

Luca Barbisan
Luca Barbisan

H-Index: 3

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Phase-field modeling of the morphological evolution of ringlike structures during growth: Thermodynamics, kinetics, and template effects

Physical Review Materials

2022/2/11

Francesco Montalenti
Francesco Montalenti

H-Index: 20

Stress-induced acceleration and ordering in solid-state dewetting

Physical Review Letters

2022/1/12

Continuum modeling of 3D semiconductor epitaxy: thermodynamic and kinetic driving forces behind morphological and compositional evolution

2022

New insights into the electronic states of the Ge (0 0 1) surface by joint angle-resolved photoelectron spectroscopy and first-principle calculation investigation

Applied Surface Science

2022/1/1

Vacancy-mediated climbing motion of dislocations in Ge/Si films: atomic-scale insights via molecular dynamics

2021

A machine learning approach for studying low-energy dislocation distributions: methodology and applications to Ge/Si (001) films

2021

Modeling the kinetic-driven morphological evolution in the 3D epitaxy of semiconductor micro-and nano-structures

2021

Self-Assembled Ge-on-Si Microcrystals for Single Photon Detection

2021

See List of Professors in Francesco Montalenti University(Università degli Studi di Milano-Bicocca)

Co-Authors

academic-engine