Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
Poster, ICDDPS, Berkeley, California
Poster at 5th International Conference on Data Driven Plasma Science (ICDDPS).
Presentations
Data-Driven Recovery of Hammett-Perkins Closure from Particle Data
Presentation, ZFSW, Albuquerque, New Mexico
Presentation in Theory and Data Science/Machine Learning session at Z Fundamental Science Program Workshop.
Learning Plasma Fluid Equations via Data-Driven Model Identification
Presentation, NRT, East Lansing. Michigan
Invited presenter for MSU’s AIDMM-NRT scientific machine learning workshop.
Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
Poster, MSU, East Lansing, Michigan
Poster at annual CHaRMNET meeting.
Successes and Challenges Using a Data-Driven Model Selection Algorithm on Plasma Simulations
Presentation, ZFSW, Albuquerque, New Mexico
Presentation in Data Science/Machine Learning session at Z Fundamental Science Program Workshop.
Successes and Challenges Using a Data-Driven Model Selection Algorithm on Plasma Simulations
Presentation, DZP, Ann Arbor. Michigan
Presentation during diagnostic and computational techniques session at Dense Z-Pinch Conference. Abstract available here.
Influence of Initial Conditions on Data-Driven Model Identification for Ideal MHD Test Problems
Poster, ICOPS, Santa Fe, New Mexico
Poster at 50th IEEE International Conference on Plasma Science (ICOPS). Abstract available here.
Identifying Governing ODEs in Irregular Physical Domain with Diffusion
Poster, APS DPP, Spokane, Washington
Poster at 64th Annual Meeting of the American Physical Society Division of Plasma Physics. Abstract available here.