Cover Image

Hard-constraint physics-residual networks enable robust extrapolation for hydrogen crossover prediction in PEM water electrolyzers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Yong-Woon, Yoo, Paul D., Yeun, Chan Yeob, Kang, Chulung, Byun, Yung-Cheol
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exergetic analysis of a dual-fuel engine, PEM electrolyzer and thermoelectric generator integrated system
by: Nelly De Armas-Calderón
Published: (2020)

A Comprehensive Survey of Text Classification Techniques and Their Research Applications: Observational and Experimental Insights
by: Taha, Kamal, et al.
Published: (2024)

An advanced 1D physics-based model for PEM hydrogen fuel cells with enhanced overvoltage prediction
by: Gass, Raphaël, et al.
Published: (2024)

An extrapolation-driven network architecture for physics-informed deep learning
by: Wang, Yong, et al.
Published: (2024)

Development of a performance model for a semi-industrial PEM electrolyzer: impact assessment of operational intermittency
by: Nguyen, Emma, et al.
Published: (2025)

A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning
by: Li, Pengfei, et al.
Published: (2023)

Phase field modelling of the growth and detachment of bubbles in a hydrogen electrolyzer
by: Uriarte, Carlos, et al.
Published: (2025)

SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework
by: Gao, Yuan, et al.
Published: (2025)

Corrosion-resistant and conductive Ti-Nb-O coatings tailored for ultra-low Pt-loaded BPPs and PTLs in PEM electrolyzers
by: Kolenatý, David, et al.
Published: (2025)

On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
by: Anisetti, Marco, et al.
Published: (2022)

Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
by: Zhang, Zhibo, et al.
Published: (2023)

Coupling aromatic CH electrooxidation with hydrogen evolution in flow electrolyzer via interface‐engineered electrodes
by: Pan Hu, et al.
Published: (2025)

Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
by: So, Chi Chiu, et al.
Published: (2024)

Conformalised imprecise inference for robust extrapolation under limited data
by: Chen, Yu, et al.
Published: (2026)

Interpretable descriptors enable prediction of hydrogen-based superconductors at moderate pressures
by: Chen, Jiawei, et al.
Published: (2025)

Validation and extrapolation of atomic mass with physics-informed fully connected neural network
by: Huang, Yiming, et al.
Published: (2025)

Abunmix enables the simple and robust multiplexed immunofluorescence imaging
by: Woonggi La, et al.
Published: (2026)

HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance
by: Park, Semin, et al.
Published: (2026)

Advances in Safe, Flexible, and Stretchable Batteries for Wearable Applications
by: Hyewon Kang, et al.
Published: (2026)

Advances in Safe, Flexible, and Stretchable Batteries for Wearable Applications (Adv. Mater. Technol. 6/2026)
by: Hyewon Kang, et al.
Published: (2026)

Evaluation and Valorization of Ecological Risk Mitigation Through the Use of Sustainable Marine Resources in Ulva, a Marine Ecological Disturbance Species.
by: Sunwoo, In-Yung, et al.
Published: (2025)

Robust extrapolation using physics-related activation functions in neural networks for nuclear masses
by: Kim, C. H., et al.
Published: (2025)

Morphological evolution via surface diffusion learned by convolutional, recurrent neural networks: extrapolation and prediction uncertainty
by: Lanzoni, Daniele, et al.
Published: (2022)

Differential algebraic modeling of an alkaline electrolyzer plant
by: Cantisani, Nicola, et al.
Published: (2023)

Numerical simulation of flow field in sodium electrolyzer
by: Ergeer Tu, et al.
Published: (2026)

A control system for reducing the hydrogen consumption of PEM fuel cells under parametric uncertainties
by: Richard Rios
Published: (2016)

Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions
by: Papastathopoulos-Katsaros, Athanasios, et al.
Published: (2025)

Three topological phases of the elliptic Ginibre ensembles with a point charge
by: Byun, Sung-Soo, et al.
Published: (2025)

GPU acceleration of many‐body perturbation theory methods in MOLGW with OpenACC
by: Young‐Moo Byun, et al.
Published: (2024)

AlphaPEM: an open-source dynamic 1D physics-based PEM fuel cell model for embedded applications
by: Gass, Raphaël, et al.
Published: (2024)

Noise-robust chemical reaction networks training artificial neural networks
by: Kang, Sunghwa, et al.
Published: (2024)

From Accuracy to Impact: The Impact-Driven AI Framework (IDAIF) for Aligning Engineering Architecture with Theory of Change
by: Kim, Yong-Woon
Published: (2025)

Hard constraint learning approaches with trainable influence functions for evolutionary equations
by: Zhang, Yushi, et al.
Published: (2025)

AI-enabled security mechanisms for WLANs: ensuring robust and adaptive protection in wireless networks
by: Sachan, Ram Chandra, et al.
Published: (2025)

Trifunctional robust electrocatalysts based on 3D Fe/N‐doped carbon nanocubes encapsulating Co4N nanoparticles for efficient battery‐powered water electrolyzers
by: Hyung Wook Choi, et al.
Published: (2024)

Spectral fluctuations and crossovers in multilayer network
by: Shekhar, Himanshu, et al.
Published: (2025)

Early‐season biomass and weather enable robust cereal rye cover crop biomass predictions
by: Alexandra Huddell, et al.
Published: (2024)

Self‐contacting Cys, Ser, and Thr residues in high‐resolution protein crystal structures: Tertiary constraints or hydrogen bonds?
by: Prathvi Singh, et al.
Published: (2024)

Efficient ground state preparation in variational quantum eigensolver with symmetry-breaking layers
by: Park, Chae-Yeun
Published: (2021)

Careless Daisy, Incurable Jordan, and Dead Myrtle: Teaching The Great Gatsby in the Post‐#MeToo Era
by: Soh Yeun Kim
Published: (2025)