Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Hu, Tianhao
Jin, Bangti
and
Wang, Fengru
2025.
An iterative deep Ritz method for monotone elliptic problems.
Journal of Computational Physics,
Vol. 527,
Issue. ,
p.
113791.
Do, Minh-Hieu
Ammar, Karim
Gerard Castaing, Nicolas
and
Madiot, François
2025.
Physics Informed Neural Networks for the mixed dual form of the neutron diffusion equation with heterogeneous coefficients.
Annals of Nuclear Energy,
Vol. 223,
Issue. ,
p.
111607.
Abbasi, Jassem
Jagtap, Ameya D.
Moseley, Ben
Hiorth, Aksel
and
Andersen, Pål Østebø
2025.
Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study.
Neurocomputing,
p.
131440.
Awais, Muhammad
Ali, Abu Safyan
Dimarco, Giacomo
Ferrarese, Federica
and
Pareschi, Lorenzo
2025.
A data augmentation strategy for deep neural networks with application to epidemic modelling.
Bollettino dell'Unione Matematica Italiana,
Roumpas, Konstantinos
Michanetzi, Eleftheria-Lito
Minas, Dimosthenis
Fotopoulos, Angelos
and
Xenos, Michalis
2025.
A comparative study of physics-informed and conventional neural networks for predicting on-screen gaze points from eye-tracking data.
Expert Systems with Applications,
Vol. 281,
Issue. ,
p.
127655.
Wu, Dawen
and
Lisser, Abdel
2025.
Error Bound Analysis of Physics-Informed Neural Networks for Solving Nonlinear Projection Equations.
Journal of Optimization Theory and Applications,
Vol. 207,
Issue. 3,
Buzaev, Fedor A.
Derkach, Denis A.
and
Efremenko, Dmitry S.
2025.
One-Dimensional Radiative Transfer Equation Solution by Physics-Informed Neural Networks: Performance Analysis.
Light & Engineering,
p.
56.
Sheikholeslami, Mohammad
Salehi, Saeed
Mao, Wengang
Eslamdoost, Arash
and
Nilsson, Håkan
2025.
Physics-informed neural networks with hard and soft boundary conditions for linear free surface waves.
Physics of Fluids,
Vol. 37,
Issue. 8,
Rao, Shreya
and
Neethirajan, Suresh
2025.
Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework.
Sensors,
Vol. 25,
Issue. 16,
p.
4899.
Schiano Di Cola, Vincenzo
Bauduin, Vittorio
Berardi, Marco
Notarnicola, Filippo
and
Cuomo, Salvatore
2025.
Investigating neural networks with groundwater flow equation loss.
Mathematics and Computers in Simulation,
Vol. 230,
Issue. ,
p.
80.
Zhou, Hongyang
Xie, Qiang
Gu, Shimei
Li, Xiuchun
Zhou, Yihuan
Liang, Dingcheng
and
Liu, Jinchang
2025.
A feature analysis-based physical experience-driven neural network for predicting VOCs adsorption performance of activated carbon.
Carbon,
Vol. 241,
Issue. ,
p.
120387.
OKAZAKI, Tomohisa
2025.
Scientific Machine Learning Seismology.
Zisin (Journal of the Seismological Society of Japan. 2nd ser.),
Vol. 77,
Issue. 0,
p.
101.
Xu, Zhaodong
and
Sheng, Zhiqiang
2025.
Subspace method based on neural networks for solving the partial differential equation.
Computers & Mathematics with Applications,
Vol. 195,
Issue. ,
p.
109.