Conor Rowan

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization. CoRR Grant Norman, Conor Rowan, Kurt Maute, Alireza Doostan
2026	J	`jnl`	The explicit constraint force method for optimal experimental design. CoRR Conor Rowan
2026	J	`jnl`	Visualizing the loss landscapes of physics-informed neural networks. CoRR Conor Rowan, Finn Murphy-Blanchard
2025	J	`jnl`	A thermoelastic plate model for shot peen forming metal panels based on effective torque. CoRR Conor Rowan
2025	J	`jnl`	Boundary condition enforcement with PINNs: a comparative study and verification on 3D geometries. CoRR Conor Rowan, Kai Hampleman, Kurt Maute, Alireza Doostan
2025	J	`jnl`	Extending the explicit constraint force method to inverse problems. CoRR Conor Rowan
2025	J	`jnl`	Finding geodesics with the Deep Ritz method. CoRR Conor Rowan
2025	J	`jnl`	Nonlinear discretizations and Newton's method: characterizing stationary points of regression objectives. CoRR Conor Rowan
2025	J	`jnl`	On the definition and importance of interpretability in scientific machine learning. CoRR Conor Rowan, Alireza Doostan
2025	J	`jnl`	On the failure of ReLU activation for physics-informed machine learning. CoRR Conor Rowan
2025	J	`jnl`	Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method. CoRR Conor Rowan, Kurt Maute, Alireza Doostan
2025	J	`jnl`	Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient. CoRR Conor Rowan, John A. Evans, Kurt Maute, Alireza Doostan
2025	J	`jnl`	Variational volume reconstruction with the Deep Ritz Method. CoRR Conor Rowan, Sumedh Soman, John A. Evans