GNCS - Gruppo Nazionale per il Calcolo Scientifico |
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- PINN-based models for the forward numerical solution of ODEs and PDEs
- solution of ill-posed inverse problems by PINN-based parameter identification
- use of PINN as encoders and decoders for reduced order models
- PINN-based surrogate models of statistical variables in stochastic simulations
- encoding by PINN of matricial operators and their use in numerical linear algebra applications
- Deep Neural Networks and Machine Learning for PDEs
- Advances in Deep Neural Networks

**Luca Bergamaschi**(luca.bergamaschi@unipd.it) University of Padova

**Andrea Franceschini**(andrea.franceschini@unipd.it) University of Padova

**Caterina Millevoi**(caterina.millevoi@phd.unipd.it) University of Padova

Location is: Aula Nievo/Aula E of Palazzo Bo, via VIII Febbraio, 2, 35122 Padova

Deadline for sending title and abstract of a contribution

Deadline for registration

The flyer of the event is available here.

- [
__A__]**Ambrosi Filippo**- University of Padova - [
__A__]**Andrean Daniele**- Department of Information Engineering, University of Padova - [
__I__]**Antonietti Paola**- MOX, Politecnico di Milano*Machine Learning-enhanced Polytopal Finite Element Methods*- SLIDES - [
__A__]**Aslan İsmail**- Department of Mathematics, University of Padova - [
__A__]**Bachini Elena**- Department of Mathematics, University of Padova - [
__A__]**Bandiziol Cinzia**- University of Padova - [
__A__]**Barberi Gianmarco**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__A__]**Barbierato Marco**- University of Padova - [
__A__]**Basei Riccardo**- Department of Industrial Engineering, University of Padova - [
__A__]**Beccaro Luca**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__S__]**Bioli Ivan**- Computational Science and Engineering - École Polytechnique Fédérale de Lausanne (EPFL)*Multi-Fidelity Neural Network Surrogate Modeling for Large-Scale Bayesian Inverse Problems* - [
__S__]**Boiger Romana**- Paul Scherrer Institute: Laboratory for Waste Management*Solving the Bateman Equation using Physics Informed Neural Networks*- SLIDES - [
__A__]**Boscolo Baicolo Lorenzo**- University of Padova - [
__A__]**Bozzo Enrico**- Dipartimento di Scienze Matematiche, Informatiche e Fisiche, Università di Udine - [
__I__]**Bragone Federica**- KTH, Stockholm*Physics-Informed Neural Networks for Power Systems Applications*- SLIDES - [
__A__]**Breda Dimitri**- CDLab - Computational Dynamics Laboratory, Department of Mathematics, Computer Science and Physics - University of Udine - [
__A__]**Brunasso Alessandro**- Department of Information Engineering, University of Padova - [
__A__]**Burhan Muhammad**- Northwestern Polytechnic University - [
__A__]**Cardin Franco**- Department of Mathematics, University of Padova - [
__A__]**Carraro Marco**- Department of Industrial Engineering, University of Padova - [
__A__]**Casanova Miguel**- University of Padova - [
__A__]**Centofanti Edoardo**- Department of Mathematics, University of Pavia - [
__S__]**Chinellato Erik**- Department of Mathematics, University of Padova*Physics-Aware Deep Nonnegative Matrix Factorization*- SLIDES - [
__A__]**Cogo Michele**- Centro di Ateneo di Studi e Attività Spaziali "Giuseppe Colombo" - CISAS, University of Padova - [
__A__]**Conte Filippo**- Department of Industrial Engineering, University of Padova - [
__A__]**Coscia Dario**- SISSA, Trieste - [
__A__]**Crispino Andrea**- Politecnico di Milano - [
__A__]**Cristiu Daniel**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__I__]**Cuomo Salvatore**- Università di Napoli*Computational Paradigms in Scientific Machine Learning* - [
__S__]**D'Inverno Giuseppe Alessio**- SISSA, Trieste*Physics Informed Graph Neural Networks for AC Optimal Power Flow*- SLIDES - [
__A__]**Davanzo Mauro**- Department of Industrial Engineering, University of Padova - [
__A__]**De Marchi Stefano**- Department of Mathematics, University of Padova - [
__A__]**Dell'Orto Marco**- University of Padova - [
__I__]**Della Santa Francesco**- Department of Mathematical Sciences, Politecnico di Torino*Graph-informed neural network and discontinuity learning* - [
__S__]**Difonzo Fabio V.**- Istituto per le Applicazioni del Calcolo “Mauro Picone” Consiglio Nazionale delle Ricerche*Physics Informed Neural Networks for an Inverse Problem in Peridynamic Models*- SLIDES - [
__A__]**Facco Pierantonio**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__A__]**Faggionato Edoardo**- Department of Information Engineering, University of Padova - [
__A__]**Faggionato Samuele**- University of Padova - [
__A__]**Fanan Mattia**- Department of Information Engineering, University of Padova - [
__A__]**Fanton Lorenzo**- Università Ca' Foscari Venezia - [
__A__]**Ferronato Massimiliano**- Department of Civil, Environmental and Architectural Engineering, University of Padova - [
__A__]**Florido Jose**- University of Leeds - [
__S__]**Forootani Ali**- Max Planck Institute for Dynamic of Complex Technical Systems*Application of Physics-Informed Neural Networks in Nonlinear Systems Identification and Parameter Estimation*- SLIDES - [
__A__]**Francomano Elisa**- University of Palermo - [
__A__]**Gallina Antonio**- Department of Information Engineering, University of Padova - [
__A__]**Galvanetto Ugo**- Department of Industrial Engineering, University of Padova - [
__A__]**Geremia Margherita**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__A__]**Ghahramanibozandan Mohammadmahdi**- University of Padova - [
__A__]**Giampiccolo Stefano**- DISI, Department, University of Trento - [
__A__]**Girardi Lorenzo**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__A__]**Grigoletto Tommaso**- University of Padova - [
__A__]**Güçlü Yaman**- Max Planck Institute for Plasma Physics - [
__A__]**Guidolin Mattia**- C-Square Lab, Dept of Management and Engineering, University of Padova - [
__S__]**Gupta Karan**- Center of Studies and Activities for Space "G. Colombo" CISAS - University of Padova*Enhancing Biomechanical Impact Simulations through Physics-Informed Neural Networks* - [
__A__]**Hajaltoom Lubna Eltayeb Kamaleldeen**- Department of Industrial Engineering, University of Padova - [
__S__]**Henriquez Fernando José Barraza**- École Polytechnique Fédérale de Lausanne*Wavenumber-Robust Deep ReLU Neural Network Emulation in Acoustic Wave Scattering* - [
__S__]**Hoefler Matthias**- Department of Mathematics and Scientific Computing, University of Graz*Parameter estimation in cardiac biomechanical models based on physics-informed neural networks*- SLIDES - [
__A__]**Hu Liwei**- Department of Mathematics, University of Bologna - [
__A__]**Janna Carlo**- Department of Civil, Environmental and Architectural Engineering, University of Padova - [
__S__]**Jnini Anas**- Industrial Innovation, University of Trento*Gauss-Newton Natural Gradient for Physics-Informed Computational Fluid Dynamics*- SLIDES - [
__A__]**Kabuya Désiré**- University of L'Aquila - [
__A__]**Karimnejad Esfahani Mohammad**- Department of Mathematics, University of Padova - [
__A__]**Kong Xiang'en**- Center of Studies and Activities for Space "G. Colombo" CISAS - University of Padova - [
__A__]**Larese De Tetto Antonia**- Department of Mathematics, University of Padova - [
__A__]**Lopez Luciano**- Department of Mathematics, Università degli Studi di Bari Aldo Moro - [
__S__]**Lovison Alberto**- Department of Mathematics, University of Padova*Brain memory working. Optimal control behavior for improved Hopfield-like models*- SLIDES - [
__A__]**Lucchini Francesco**- Department of Industrial Engineering, University of Padova - [
__S__]**Marchetti Francesco**- Department of Mathematics, University of Padova*Predicting coronal mass ejections' travel times by using physics-informed loss functions*- SLIDES - [
__A__]**Marchiori Hadija**- University of Padova - [
__A__]**Marconato Nicolò**- Department of Industrial Engineering, University of Padova - [
__A__]**Marcuzzi Fabio**- Department of Mathematics, University of Padova - [
__A__]**Maritan Alessio**- Department of Information Engineering, University of Padova - [
__A__]**Martínez Calomardo Ángeles**- Department of Mathematics, Informatics and Geosciences - University of Trieste - [
__A__]**Mohib Hussain**- Department of Mathematics, Govt. College University, Faisalabad, Pakistan - [
__A__]**Moro Federico**- Department of Industrial Engineering, University of Padova - [
__A__]**Narduzzi Claudio**- Department of Information Engineering, University of Padova - [
__S__]**Onwunta Akwum**- Department of Industrial and systems Engineering, Lehigh University*A deep neural network approach for parameterized PDEs and Bayesian inverse problems* - [
__A__]**Parodi Davide**- Department of Mathematics, University of Genova - [
__A__]**Pase Francesco**- Lead AI Research Engineer - NEWTWEN - [
__A__]**Pedersen Morten Gram**- Department of Information Engineering, University of Padova - [
__A__]**Pellegrini Luca**- University of Pavia - [
__A__]**Pellizzari Elisa**- Department of Information Engineering, University of Padova - [
__A__]**Perin Giovanni**- Department of Information Engineering, University of Padova - [
__A__]**Petrella Alessandro**- University of Bologna - [
__A__]**Poggiana Giulio**- Department of Industrial Engineering, University of Padova, ElectraLab - [
__A__]**Prendin Francesco**- Department of Information Engineering, University of Padova - [
__A__]**Putti Mario**- Department of Agronomy, Food Natural resources, Animals and Environment, University of Padova - [
__A__]**Rama Martina**- University of Trento - [
__A__]**Rinaldi Laura**- Department of Mathematics, University of Padova - [
__I__]**Rozza Gianluigi**- SISSA, Trieste*Accelerating Numerical Simulations by Model Reduction with Scientific and Physics-Informed Machine Learning*- SLIDES - [
__A__]**Saccardo Alberto**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__S__]**Saleh Yahya**- Department of Mathematics - Universität Hamburg*Spectral learning for solving molecular Schrödinger equations*- SLIDES - [
__A__]**Santin Gabriele**- Department of Environmental Sciences, Informatics and Statistics - Ca' Foscari University of Venice - [
__A__]**Scarpa Mattia**- Lead AI Research Engineer - NEWTWEN - [
__A__]**Schiano Di Cola Vincenzo**- Università degli Studi di Napoli Federico II - [
__A__]**Schiavon Samuele**- University of Padova - [
__I__]**Schwarz Anna**- University of Stuttgart*Recent advances and failures in the machine-learning enhanced solution of PDEs* - [
__A__]**Scialpi Matteo**- Department of Physics and Earth Science, University of Ferrara - [
__A__]**Tamiazzo Edoardo**- CAPE-Lab, Department of Industrial Engineering, University of Padova - [
__S__]**Tanveer Muhammad**- Department Mathematics - University of Udine*A Neural Network Approach to Learn Delay Differential Equations via Pseudospectral Collocation*- SLIDES - [
__A__]**Tonicello Niccolò**- SISSA, Trieste - [
__A__]**Torchio Riccardo**- Department of Industrial Engineering, University of Padova - [
__A__]**Vargiolu Tiziano**- Department of Mathematics, University of Padova - [
__A__]**Wajid Ahmed**- Northwestern Polytechincal University, Xi'an, China - [
__A__]**Yousefi Mahsa**- Morgagni Learning Center, University of Firenze - [
__A__]**Zaccariotto Mirco**- Dep. of Industrial Engineering & CISAS "G. Colombo", University of Padova - [
__A__]**Zavattari Carlo**- Industrial Innovation, University of Trento - [
__A__]**Zorzetto Matteo**- Department of Industrial Engineering, University of Padova

The collection of the abstracts from the contributed speakers is available here.