J. Hittinger

Papers

Total Citations

H-Index

About

J. Hittinger is a leading figure in the application of machine learning to fusion energy research, a field where they have made foundational contributions. Their most-cited work, the 2020 "Advancing Fusion with Machine Learning Research Needs Workshop Report" (46 citations), serves as a pivotal roadmap for integrating ML/AI into plasma physics and fusion science. This report, born from a national workshop, systematically identifies critical challenges—from real-time plasma control to predictive modeling—where data-driven methods can accelerate progress toward practical fusion energy. Hittinger’s impact lies in bridging two complex disciplines: they have helped define a new interdisciplinary research agenda that is now guiding funding, collaborations, and technical development. By articulating the specific needs and opportunities for ML in fusion, their work has catalyzed a growing community of researchers. With a citation count reflecting the report’s influence as a key reference, Hittinger’s contributions are essential reading for anyone exploring the intersection of artificial intelligence and sustainable energy.