Francisco Chinesta

ESI Group (France) — France

Physics and Astronomy · Physical Sciences

46h-index10.3kcitations1.3kworks1.92yr avg
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Research Topics

Model Reduction and Neural Networks(215), Metal Forming Simulation Techniques(119), Composite Material Mechanics(111), Metallurgy and Material Forming(98), Rheology and Fluid Dynamics Studies(90)

Publications1.3k total

Can Transformers overcome the lack of data in the simulation of history-dependent flows?
arXiv (Cornell University)·2025Open Access
Variational rank reduction autoencoders for generative thermal design
Results in Engineering·2025Open Access
A multi-model probabilistic framework for seismic risk assessment and retrofit planning of electric power networks
Reliability Engineering & System Safety·2025Open Access
Hybrid models for simulating indoor temperature distribution in air-conditioned spaces
Frontiers in Built Environment·2025Open Access
Deep Learning-Based Fiber Orientation Analysis for Discontinuous Composites: Application to Material Extrusion Additive Manufacturing
Fibers and Polymers·2025· 1 citedOpen Access
A new Framework for Generative Design, Real-Time Prediction, and Inverse Design Optimization: Application to Microstructure
2025Open Access
Interlayer adhesion in Large Format Additive Manufacturing of glass fiber reinforced ABS structures
Journal of Materials Research and Technology·2025· 1 citedOpen Access
Thermal field estimation in CFRTP composites using an attention-enhanced U-Net
International Journal of Material Forming·2025· 1 citedOpen Access
Towards the digital twin of a multi-stage forming process for metallic sheets
SPIRE - Sciences Po Institutional REpository·2025
Graph neural network structural limitation for thermal simulation and architecture optimization through rating system
Advanced Modeling and Simulation in Engineering Sciences·2025Open Access
Forward and Inverse Topology Optimization via Deep Rank-Reduction Autoencoders
Civil-comp conferences·2025Open Access
A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks
arXiv (Cornell University)·2025Open Access
Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations
arXiv (Cornell University)·2025Open Access
Resilience-based post disaster recovery optimization for infrastructure system via deep reinforcement learning
Reliability Engineering & System Safety·2025· 8 citedOpen Access
Numerical Computation of a Turbulent Wind Flow over Buildings and Estimation of Its Effect on Drone’s Model
International Journal of Heat and Technology·2025Open Access
From laser-on time to lithotripsy duration: improving the prediction of lithotripsy duration with ‘Kidney Stone Calculator’ using artificial intelligence
World Journal of Urology·2025· 3 cited
Optimal transport in non-convex geometries and its application in shrinkage porosity prediction
Computers & Mathematics with Applications·2025Open Access
Topological Data Analysis for fault classification on transmission lines
Electric Power Systems Research·2025· 3 citedOpen Access
Closed-Loop Control of Extrusion-Based Bioprinting Through Real-Time Computer Vision
Journal of Machine Engineering·2025· 3 citedOpen Access
Sustainable large-format additive manufacturing of composite molds with 45-degree deposition strategies
Defence Technology·2025· 5 citedOpen Access
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Frequent Co-authors

Elías Cueto(28), Amine Ammar(13), David González(13), José Vicente Aguado(7), Emmanuelle Abisset‐Chavanne(6), Adrien Leygue(4), Rubén Ibáñez(4), Icíar Alfaro(4), W. K. Anson(4), Antonio Huerta(4), R. Keunings(3), Jean Louis Duval(3), Domenico Borzacchiello(3), Siamak Niroomandi(3), Alberto Badías(3), Pierre Ladevèze(2), M. Doblaré(2), M. R. Mackley(2), Quercus Hernández(2), Christophe Binétruy(2)