activity
20162025
most citedDeep learning observables in computational fluid dynamics

167 citations · 334 across the 10 of their papers we have counts for

collaborators

11 papers

physics.geo-ph2025★ 21 cited

Benchmarking CO Storage Simulations: Results from the 11th Society of Petroleum Engineers Comparative Solution Project

Jan M. Nordbotten, Martin A. Fernø, Bernd Flemisch +40

The 11th Society of Petroleum Engineers Comparative Solution Project (shortened SPE11 herein) benchmarked simulation tools for geological carbon dioxide (CO) storage. A total o…

cs.LG2023★ 1 cited

Pseudo-Hamiltonian neural networks for learning partial differential equations

Sølve Eidnes, Kjetil Olsen Lye

Pseudo-Hamiltonian neural networks (PHNN) were recently introduced for learning dynamical systems that can be modelled by ordinary differential equations. In this paper, we extend…

quant-ph2022★ 52 cited

Constrained mixers for the quantum approximate optimization algorithm

Franz G. Fuchs, Kjetil Olsen Lye, Halvor Møll Nilsen +2

The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems. Most…

math.NA2020

Convergence rates of monotone schemes for conservation laws for data with unbounded total variation

Ulrik Skre Fjordholm, Kjetil Olsen Lye

We prove convergence rates of monotone schemes for conservation laws for Hölder continuous initial data with unbounded total variation, provided that the Hölder exponent of the ini…

math.OC2020★ 86 cited

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

Kjetil O. Lye, Siddhartha Mishra, Deep Ray +1

We present a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimizat…

cs.MS2019

Alsvinn: A Fast multi-GPGPU finite volume solver with a strong emphasis on reproducibility

Kjetil Lye

We present the Alsvinn simulator, a fast multi general purpose graphical processing unit (GPGPU) finite volume solver for hyperbolic conservation laws in multiple space dimensions.…