Benjamin D. Shaffer

According to our database, Benjamin D. Shaffer authored at least 6 papers between 2024 and 2026.

Collaborative distances:

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

2026

A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds.

Benjamin D. Shaffer, Brooks Kinch, M. Ani Hsieh, Nathaniel Trask

CoRR, May, 2026

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs.

Benjamin D. Shaffer, Shawn Koohy, Brooks Kinch, M. Ani Hsieh, Nathaniel Trask

CoRR, February, 2026

2025

Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models.

Benjamin D. Shaffer, Victoria Edwards, Brooks Kinch, Nathaniel Trask, M. Ani Hsieh

CoRR, September, 2025

Physics-informed sensor coverage through structure preserving machine learning.

Benjamin D. Shaffer, Brooks Kinch, Joseph Klobusicky, M. Ani Hsieh, Nathaniel Trask

CoRR, September, 2025

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms.

Brooks Kinch, Benjamin D. Shaffer, Elizabeth Armstrong, Michael Meehan, John Hewson, Nathaniel Trask

CoRR, August, 2025

2024

Spectrally Informed Learning of Fluid Flows.

Benjamin D. Shaffer, Jeremy R. Vorenberg, M. Ani Hsieh

CoRR, 2024