David R. Hatch

According to our database, David R. Hatch authored at least 5 papers between 2012 and 2026.

Collaborative distances:

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

2026

Convolution Operator Network for Forward and Inverse Problems (FI-Conv): Application to Plasma Turbulence Simulations.

Xingzhuo Chen, Anthony Poole, Ionut-Gabriel Farcas, David R. Hatch, Ulisses Braga-Neto

CoRR, February, 2026

2025

The Data Fusion Labeler (dFL): Challenges and Solutions to Data Harmonization, Labeling, and Provenance in Fusion Energy.

Craig Michoski, Matthew Waller, Brian Sammuli, Zeyu Li, Tapan Ganatma Nakkina, Raffi Nazikian, Sterling Paul Smith, David Orozco, Dongyang Kuang, Martin Foltin, Erik Olofsson, Mike Fredrickson, Jerry Louis-Jeune, David R. Hatch, Todd A. Oliver, Mitchell Clark, Steph-Yves Louis

CoRR, November, 2025

2020

Solving differential equations using deep neural networks.

Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch

Neurocomputing, 2020

2019

Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks.

Craig Michoski, Milos Milosavljevic, Todd Oliver, David R. Hatch

CoRR, 2019

2012

Analysis and compression of six-dimensional gyrokinetic datasets using higher order singular value decomposition.

David R. Hatch, Diego del-Castillo-Negrete, Paul W. Terry

J. Comput. Phys., 2012