Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
Fuente:
arXiv
Saved in:
| Main Authors: | Elaarabi, Mouad, Borzacchiello, Domenico, Bot, Philippe Le, Lauzeral, Nathan, Comas-Cardona, Sebastien |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
by: Elaarabi, Mouad, et al.
Published: (2025)
by: Elaarabi, Mouad, et al.
Published: (2025)
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
by: Elaarabi, Mouad, et al.
Published: (2025)
by: Elaarabi, Mouad, et al.
Published: (2025)
Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
by: Ganga, Sai, et al.
Published: (2024)
by: Ganga, Sai, et al.
Published: (2024)
Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
by: Farea, Afrah, et al.
Published: (2025)
by: Farea, Afrah, et al.
Published: (2025)
Topology optimization of contact-aided thermo-mechanical regulators
by: Dalklint, Anna, et al.
Published: (2024)
by: Dalklint, Anna, et al.
Published: (2024)
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)
by: Patel, Raj G., et al.
Published: (2023)
Sensitivity analysis using Physics-informed neural networks
by: Hanna, John M., et al.
Published: (2023)
by: Hanna, John M., et al.
Published: (2023)
Cryptocurrencies and Interest Rates: Inferring Yield Curves in a Bondless Market
by: Bergault, Philippe, et al.
Published: (2025)
by: Bergault, Philippe, et al.
Published: (2025)
Physics Informed Neural Network using Finite Difference Method
by: Lim, Kart Leong, et al.
Published: (2026)
by: Lim, Kart Leong, et al.
Published: (2026)
Finance-Informed Neural Network: Learning the Geometry of Option Pricing
by: Aboussalah, Amine M., et al.
Published: (2024)
by: Aboussalah, Amine M., et al.
Published: (2024)
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
by: Xu, Zeda, et al.
Published: (2024)
by: Xu, Zeda, et al.
Published: (2024)
Swing contract pricing: with and without Neural Networks
by: Lemaire, Vincent, et al.
Published: (2023)
by: Lemaire, Vincent, et al.
Published: (2023)
A new definition of peridynamic damage for thermo-mechanical fracture modeling
by: Tao, Sitong, et al.
Published: (2025)
by: Tao, Sitong, et al.
Published: (2025)
Physics-Informed Neural Networks for Shell Structures
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
Whack-a-mole Online Learning: Physics-Informed Neural Network for Intraday Implied Volatility Surface
by: Hoshisashi, Kentaro, et al.
Published: (2024)
by: Hoshisashi, Kentaro, et al.
Published: (2024)
Brain-Inspired Physics-Informed Neural Networks: Bare-Minimum Neural Architectures for PDE Solvers
by: Markidis, Stefano
Published: (2024)
by: Markidis, Stefano
Published: (2024)
Physics-Informed Neural Networks for Solving Contact Problems in Three Dimensions
by: Sahin, Tarik, et al.
Published: (2024)
by: Sahin, Tarik, et al.
Published: (2024)
Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics
by: Zhou, Shuwei, et al.
Published: (2026)
by: Zhou, Shuwei, et al.
Published: (2026)
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
by: Wu, Yuntao, et al.
Published: (2024)
by: Wu, Yuntao, et al.
Published: (2024)
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
by: Calafà, Matteo, et al.
Published: (2024)
by: Calafà, Matteo, et al.
Published: (2024)
Statistical Design of Thermal Protection System Using Physics-Informed Neural Network
by: Lyathakula, Karthik Reddy, et al.
Published: (2025)
by: Lyathakula, Karthik Reddy, et al.
Published: (2025)
Revisiting Elastic String Models of Forward Interest Rates
by: Coz, Victor Le, et al.
Published: (2024)
by: Coz, Victor Le, et al.
Published: (2024)
A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting
by: Yu, Runyao, et al.
Published: (2026)
by: Yu, Runyao, et al.
Published: (2026)
Enforced Interface Constraints for Domain Decomposition Method of Discrete Physics-Informed Neural Networks
by: Yin, Jichao, et al.
Published: (2025)
by: Yin, Jichao, et al.
Published: (2025)
Lattice-Boltzmann-Driven Physics-Informed Neural Networks for Droplet Wettability on Rough Surfaces
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
Optimal Exit Time for Liquidity Providers in Automated Market Makers
by: Bergault, Philippe, et al.
Published: (2025)
by: Bergault, Philippe, et al.
Published: (2025)
SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
by: Brini, Alessio, et al.
Published: (2024)
by: Brini, Alessio, et al.
Published: (2024)
Event-Based Limit Order Book Simulation under a Neural Hawkes Process: Application in Market-Making
by: Lalor, Luca, et al.
Published: (2025)
by: Lalor, Luca, et al.
Published: (2025)
A Dual Physics-Informed Kolmogorov-Arnold Neural Network Framework for Continuum Topology Optimization
by: Zhang, Junyuan, et al.
Published: (2026)
by: Zhang, Junyuan, et al.
Published: (2026)
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation
by: Du, Jian, et al.
Published: (2024)
by: Du, Jian, et al.
Published: (2024)
Chaotic Hedging with Iterated Integrals and Neural Networks
by: Neufeld, Ariel, et al.
Published: (2022)
by: Neufeld, Ariel, et al.
Published: (2022)
Amalgamation of Physics-Informed Neural Network and LBM for the Prediction of Unsteady Fluid Flows in Fractal-Rough Microchannels
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)
A Physics-Informed Neural Network Framework for Simulating Creep Buckling in Growing Viscoelastic Biological Tissues
by: Lin, Zhongya, et al.
Published: (2025)
by: Lin, Zhongya, et al.
Published: (2025)
Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data
by: Bhatnagar, Saakaar, et al.
Published: (2023)
by: Bhatnagar, Saakaar, et al.
Published: (2023)
Rapid Estimation of Left Ventricular Contractility with a Physics-Informed Neural Network Inverse Modeling Approach
by: Naghavi, Ehsan, et al.
Published: (2024)
by: Naghavi, Ehsan, et al.
Published: (2024)
Application of new conformal cooling layouts to the green injection molding of complex slender polymeric parts with high dimensional specifications
by: Alba, Abelardo Torres, et al.
Published: (2025)
by: Alba, Abelardo Torres, et al.
Published: (2025)
Feature Mapping in Physics-Informed Neural Networks (PINNs)
by: Zeng, Chengxi, et al.
Published: (2024)
by: Zeng, Chengxi, et al.
Published: (2024)
Reconciling rough volatility with jumps
by: Jaber, Eduardo Abi, et al.
Published: (2023)
by: Jaber, Eduardo Abi, et al.
Published: (2023)
Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
by: Di Wang, Albert, et al.
Published: (2025)
by: Di Wang, Albert, et al.
Published: (2025)
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
Similar Items
-
Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks
by: Elaarabi, Mouad, et al.
Published: (2025) -
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
by: Elaarabi, Mouad, et al.
Published: (2025) -
Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems
by: Ganga, Sai, et al.
Published: (2024) -
Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
by: Farea, Afrah, et al.
Published: (2025) -
Topology optimization of contact-aided thermo-mechanical regulators
by: Dalklint, Anna, et al.
Published: (2024)