activity
20152022
most citedPhysics guided machine learning using simplified theories

135 citations · 273 across the 7 of their papers we have counts for

collaborators

7 papers

math.NA202244 cited

Isogeometric boundary element method for acoustic scattering by a submarine

Jon Vegard Venås, Trond Kvamsdal

Isogeometric analysis with the boundary element method (IGABEM) has recently gained interest. In this paper, the approximability of IGABEM on 3D acoustic scattering problems will b…

math.NA202215 cited

Isogeometric Analysis of Acoustic Scattering using Infinite Elements

Jon Vegard Venås, Trond Kvamsdal, Trond Jenserud

Isogeometric analysis (IGA) has proven to be an improvement on the classical finite element method (FEM) in several fields, including structural mechanics and fluid dynamics. In th…

physics.flu-dyn2021

Multi-fidelity information fusion with concatenated neural networks

Suraj Pawar, Omer San, Prakash Vedula +2

Recently, computational modeling has shifted towards the use of deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many appl…

physics.comp-ph20213 cited

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution

Omer San, Adil Rasheed, Trond Kvamsdal

Most modeling approaches lie in either of the two categories: physics-based or data-driven. Recently, a third approach which is a combination of these deterministic and statistical…

cs.LG2020135 cited

Physics guided machine learning using simplified theories

Suraj Pawar, Omer San, Burak Aksoylu +2

Recent applications of machine learning, in particular deep learning, motivate the need to address the generalizability of the statistical inference approaches in physical sciences…

eess.SP201976 cited

Digital Twin: Values, Challenges and Enablers

Adil Rasheed, Omer San, Trond Kvamsdal

A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data…