Reza Najian Asl

According to our database, Reza Najian Asl authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Tackling multiphysics problems via finite element-guided physics-informed operator learning.

Yusuke Yamazaki, Reza Najian Asl, Markus Apel, Mayu Muramatsu, Shahed Rezaei

CoRR, March, 2026

2025

Neural-Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning.

Kianoosh Taghikhani, Yusuke Yamazaki, Jerry Paul Varghese, Markus Apel, Reza Najian Asl, Shahed Rezaei

CoRR, November, 2025

A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries.

Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei

CoRR, April, 2025

2024

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs.

Shahed Rezaei, Reza Najian Asl, Kianoosh Taghikhani, Ahmad Moeineddin, Michael Kaliske, Markus Apel

CoRR, 2024

2022

A partitioned scheme for adjoint shape sensitivity analysis of fluid-structure interactions involving non-matching meshes.

Reza Najian Asl, Ihar Antonau, Aditya Ghantasala, Wulf G. Dettmer, Roland Wüchner, Kai-Uwe Bletzinger

Optim. Methods Softw., 2022

Implicit bulk-surface filtering method for node-based shape optimization and comparison of explicit and implicit filtering techniques.

Reza Najian Asl, Kai-Uwe Bletzinger

CoRR, 2022

2021

Realization of a Framework for Simulation-Based Large-Scale Shape Optimization Using Vertex Morphing.

Aditya Ghantasala, Reza Najian Asl, Armin Geiser, Andrew Brodie, Efthymios Papoutsis, Kai-Uwe Bletzinger

J. Optim. Theory Appl., 2021