11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.CE2026
Adapting neural operators for mechanics decisions under changing operating conditions
Prashant K. Jha, Koffi Enakoutsa, Ian Galloway +1
Neural operators can accelerate repeated nonlinear mechanics calculations, but their accuracy can deteriorate as operating conditions move beyond the training range. This work stud…
cs.CE2025
From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
Prashant K. Jha
This review examines neural operator architectures for learning solution operators of parametric partial differential equations (PDEs), with an emphasis on conceptual clarity and p…
math.NA2023★ 11 cited
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems
Prashant K. Jha
This work focuses on developing methods for approximating the solution operators of a class of parametric partial differential equations via neural operators. Neural operators have…