Conor Rowan

According to our database, Conor Rowan authored at least 13 papers between 2025 and 2026.

Collaborative distances:

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

2026

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization.

Grant Norman, Conor Rowan, Kurt Maute, Alireza Doostan

CoRR, February, 2026

Visualizing the loss landscapes of physics-informed neural networks.

Conor Rowan, Finn Murphy-Blanchard

CoRR, February, 2026

The explicit constraint force method for optimal experimental design.

Conor Rowan

CoRR, January, 2026

2025

Boundary condition enforcement with PINNs: a comparative study and verification on 3D geometries.

Conor Rowan, Kai Hampleman, Kurt Maute, Alireza Doostan

CoRR, December, 2025

Extending the explicit constraint force method to inverse problems.

Conor Rowan

CoRR, December, 2025

On the failure of ReLU activation for physics-informed machine learning.

Conor Rowan

CoRR, December, 2025

Finding geodesics with the Deep Ritz method.

Conor Rowan

CoRR, October, 2025

Nonlinear discretizations and Newton's method: characterizing stationary points of regression objectives.

Conor Rowan

CoRR, October, 2025

Variational volume reconstruction with the Deep Ritz Method.

Conor Rowan, Sumedh Soman, John A. Evans

CoRR, August, 2025

Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient.

Conor Rowan, John A. Evans, Kurt Maute, Alireza Doostan

CoRR, June, 2025

On the definition and importance of interpretability in scientific machine learning.

Conor Rowan, Alireza Doostan

CoRR, May, 2025

A thermoelastic plate model for shot peen forming metal panels based on effective torque.

Conor Rowan

CoRR, May, 2025

Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method.

Conor Rowan, Kurt Maute, Alireza Doostan

CoRR, May, 2025