Filippo MASI

Filippo MASI

École Centrale de Nantes

H-index: 11

Europe-France

About Filippo MASI

Filippo MASI, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at École Centrale de Nantes, specializes in the field of Mechanics, Computational Mechanics, Machine Learning, Thermodynamics, Data-driven.

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

Neural integration for constitutive equations using small data

Evolution TANN and the identification of internal variables and evolution equations in solid mechanics

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

Scaling laws for the rigid-body response of masonry structures under blast loads

Thermodynamics-based Artificial Neural Networks for constitutive modeling

Material modeling via Thermodynamics-based Artificial Neural Networks

Resistance of museum artefacts against blast loading

Fast-dynamic response and failure of masonry structures of non-standard geometry subjected to blast loads

Filippo MASI Information

University

Position

Research Institute in Civil and Mechanical Engineering (GeM)

Citations(all)

449

Citations(since 2020)

437

Cited By

85

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

École Centrale de Nantes

Google Scholar

View Google Scholar Profile

Filippo MASI Skills & Research Interests

Mechanics

Computational Mechanics

Machine Learning

Thermodynamics

Data-driven

Top articles of Filippo MASI

Title

Journal

Author(s)

Publication Date

Neural integration for constitutive equations using small data

Computer Methods in Applied Mechanics and Engineering

Filippo Masi

Itai Einav

2024/2/1

Evolution TANN and the identification of internal variables and evolution equations in solid mechanics

Journal of the Mechanics and Physics of Solids

Filippo Masi

Ioannis Stefanou

2023/5/1

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

Computer Methods in Applied Mechanics and Engineering

Filippo Masi

Ioannis Stefanou

2022/6/18

Scaling laws for the rigid-body response of masonry structures under blast loads

Journal of Engineering Mechanics

F Masi

I Stefanou

V Maffi-Berthier

2021/5/11

Thermodynamics-based Artificial Neural Networks for constitutive modeling

Journal of the Mechanics and Physics of Solids

Filippo Masi

Ioannis Stefanou

Paolo Vannucci

Victor Maffi-Berthier

2021/2

Material modeling via Thermodynamics-based Artificial Neural Networks

Filippo Masi

Ioannis Stefanou

Paolo Vannucci

Victor Maffi-Berthier

2020/7/27

Resistance of museum artefacts against blast loading

Journal of Cultural Heritage

Filippo Masi

Ioannis Stefanou

Paolo Vannucci

Victor Maffi-Berthier

2020/7/1

Fast-dynamic response and failure of masonry structures of non-standard geometry subjected to blast loads

Filippo Masi

2020

A Discrete Element Method based-approach for arched masonry structures under blast loads

Engineering Structures

Filippo Masi

Ioannis Stefanou

Victor Maffi-Berthier

Paolo Vannucci

2020/8/1

See List of Professors in Filippo MASI University(École Centrale de Nantes)

Co-Authors

H-index: 28
Paolo Vannucci

Paolo Vannucci

Université de Versailles Saint-Quentin-en-Yvelines

H-index: 28
Panagiotis Kotronis

Panagiotis Kotronis

École Centrale de Nantes

H-index: 24
Ioannis STEFANOU

Ioannis STEFANOU

École Centrale de Nantes

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