Peter K. Jimack

University of Leeds — United Kingdom

Engineering · Physical Sciences

29h-index2.6kcitations213works2.62yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(79), Solidification and crystal growth phenomena(37), Aluminum Alloy Microstructure Properties(33), Numerical methods in engineering(23), Computational Fluid Dynamics and Aerodynamics(21)

Publications213 total

Hard Constraint Projection in a Physics Informed Neural Network
arXiv (Cornell University)·2026Open Access
Extending Graph Network Simulators for Particle-Based Simulations of Transient Flow Problems
SSRN Electronic Journal·2026Open Access
Fluid-Structure Interactions: One-Field Monolithic Fictitious Domain Method and Its Parallelization
Advances in Applied Mathematics and Mechanics·2025
A CFD based approach to the modelling of pressure drop and flow pattern evolution through industrial filter systems
Process Safety and Environmental Protection·2025Open Access
MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Lecture notes in computer science·2025· 1 cited
Deep learning for inverse material characterization
Computer Methods in Applied Mechanics and Engineering·2025· 2 citedOpen Access
Spatial-temporal graph neural networks for groundwater data
Scientific Reports·2024· 26 citedOpen Access
Computational modelling and experimental validation of pressure drop through multi-layered woven screens for polymer melts
Process Safety and Environmental Protection·2024· 2 citedOpen Access
Generative modeling of Sparse Approximate Inverse Preconditioners
arXiv (Cornell University)·2024Open Access
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
arXiv (Cornell University)·2024Open Access
Spatial-Temporal Graph Neural Networks for Groundwater Data
Research Square (Research Square)·2024· 1 citedOpen Access
Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
Lecture notes in computer science·2024· 4 cited
Deep Learning for Inverse Material Characterisation
SSRN Electronic Journal·2024Open Access
Generative Modeling of Sparse Approximate Inverse Preconditioners
Lecture notes in computer science·2024· 1 cited
Developing a cost-effective emulator for groundwater flow modeling using deep neural operators
Journal of Hydrology·2023· 15 cited
On the practical parallel implementation of a monolithic fluid-structure interaction solver
Civil-comp conferences·2023Open Access
Phase field modelling of hopper crystal growth in alloys
Scientific Reports·2023· 7 citedOpen Access
Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling
arXiv (Cornell University)·2023Open Access
Anionic surfactant solutions under shear using dissipative particle dynamics
The Journal of Chemical Physics·2023· 5 citedOpen Access
Using Raman Spectroscopy and Molecular Dynamics to Study Conformation Changes of Sodium Lauryl Ether Sulfate Molecules
The Journal of Physical Chemistry B·2023· 11 citedOpen Access
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Frequent Co-authors

Andrew M. Mullis(8), Mark A. Walkley(7), Philip Gaskell(6), H.M. Thompson(5), J. Rosam(5), M.E. Hubbard(5), M. J. Baines(4), He Wang(4), Christopher E. Goodyer(4), Mark A. Kelmanson(4), Martin Berzins(4), Mathieu Sellier(3), P.C. Bollada(3), Christopher J. Davies(3), David Gubbins(3), Zheyan Zhang(2), Yongxing Wang(2), Feng Wei Yang(2), Randolph E. Bank(2), Jonathan Summers(2)