Stephen Dewitt

According to our database, Stephen Dewitt authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure.

Yigong Qin, Stephen Dewitt, Balasubramaniam Radhakrishnan, George Biros

J. Comput. Phys., 2024

Co-design for Particle Applications at Exascale.

Samuel Temple Reeve, Jean-Luc Fattebert, Stephen Dewitt, Pablo Seleson, David Joy, Stuart R. Slattery, Aaron Scheinberg, Rene Halver, Christoph Junghans, Christian F. A. Negre, Michael E. Wall, Yu Zhang, Anders M. N. Niklasson, James F. Belak, Susan M. Mniszewski, Danny Perez

Comput. Sci. Eng., 2024

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure.

Yigong Qin, Stephen Dewitt, Balasubramanian Radhakrishnan, George Biros

CoRR, 2024

2023

Thermo4PFM: Facilitating Phase-field simulations of alloys with thermodynamic driving forces.

Jean-Luc Fattebert, Stephen Dewitt, Aurelien Perron, John Turner

Comput. Phys. Commun., July, 2023

2022

ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure.

John A. Turner, James F. Belak, Nathan Barton, Matthew T. Bement, Neil N. Carlson, Robert Carson, Stephen Dewitt, Jean-Luc Fattebert, Neil Eugene Hodge, Zechariah Jibben, Wayne E. King, Lyle Levine, Christopher K. Newman, Alex Plotkowski, Balasubramaniam Radhakrishnan, Samuel Temple Reeve, Matthew Rolchigo, Adrian S. Sabau, Stuart R. Slattery, Benjamin Stump

Int. J. High Perform. Comput. Appl., 2022