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

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

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

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

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

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

Università degli Studi di Milano-Bicocca

Google Scholar

View Google Scholar Profile

Francesco Montalenti Skills & Research Interests

Thin Films

Nanostructures

Modeling

Top articles of Francesco Montalenti

Title

Journal

Author(s)

Publication Date

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

Advanced Optical Materials

Virginia Falcone

Andrea Barzaghi

Fabio Signorelli

Joao Valente

Saleh Firoozabadi

...

2024/4/13

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

Acta Materialia

Guojia Ge

Fabrizio Rovaris

Daniele Lanzoni

Luca Barbisan

Xiaobin Tang

...

2024/1/15

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

F Montalenti

2023

Modeling growth of epitaxial nanostructures by continuum methods and machine learning

F Montalenti

2023

In-Plane Nanowire Growth of Topological Crystalline Insulator Pb

Sander G Schellingerhout

Roberto Bergamaschini

Marcel A Verheijen

Francesco Montalenti

Leo Miglio

...

2023

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

Advanced Functional Materials

Sander G Schellingerhout

Roberto Bergamaschini

Marcel A Verheijen

Francesco Montalenti

Leo Miglio

...

2023/12

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

Scientific Reports

Daniele Lanzoni

Fabrizio Rovaris

Francesco Montalenti

2023

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

The Journal of Chemical Physics

Daniele Lanzoni

Olivier Pierre-Louis

Francesco Montalenti

2023/10/14

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

arXiv preprint arXiv:2305.15920

Daniele Lanzoni

Olivier Pierre-Louis

Francesco Montalenti

2023/5/25

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

Scientific Reports

Luca Barbisan

Anna Marzegalli

Francesco Montalenti

2022/2/25

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

Physical Review Materials

Marcello De Donno

Marco Albani

Roberto Bergamaschini

Francesco Montalenti

2022/2/11

Stress-induced acceleration and ordering in solid-state dewetting

Physical Review Letters

Francesco Boccardo

Fabrizio Rovaris

Ashwani Tripathi

Francesco Montalenti

Olivier Pierre-Louis

2022/1/12

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

R Bergamaschini

F Montalenti

L Miglio

2022

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

Physical Review Materials

Daniele Lanzoni

Marco Albani

Roberto Bergamaschini

Francesco Montalenti

2022/10/3

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

Felix Reichmann

Emilio Scalise

Andreas P Becker

Emily VS Hofmann

Jaroslaw Dabrowski

...

2022/1/1

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

Scientific Reports

Daniele Lanzoni

Fabrizio Rovaris

Francesco Montalenti

2022/3/8

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

L Barbisan

A Marzegalli

F Montalenti

2021

The formation of a Sn monolayer on Ge (1 0 0) studied at the atomic scale

Applied Surface Science

Emily VS Hofmann

Emilio Scalise

Francesco Montalenti

Taylor JZ Stock

Steven R Schofield

...

2021/9/30

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

D Lanzoni

F Rovaris

F Montalenti

2021

Faceting of Si and Ge crystals grown on deeply patterned Si substrates in the kinetic regime: phase-field modelling and experiments

Scientific Reports

Marco Albani

Roberto Bergamaschini

Andrea Barzaghi

Marco Salvalaglio

Joao Valente

...

2021/9/22

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

Co-Authors

H-index: 71
Armando Rastelli

Armando Rastelli

Johannes Kepler Universität Linz

H-index: 65
Michele Ceriotti

Michele Ceriotti

École Polytechnique Fédérale de Lausanne

H-index: 62
Riccardo Ferrando

Riccardo Ferrando

Università degli Studi di Genova

H-index: 55
Marco Bernasconi

Marco Bernasconi

Università degli Studi di Milano-Bicocca

H-index: 54
Friedrich Schäffler

Friedrich Schäffler

Johannes Kepler Universität Linz

H-index: 47
Giovanni Isella

Giovanni Isella

Politecnico di Milano

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