More Resources

Recent advancements in agentic and generative AI present opportunities to accelerate discovery and translational science.

Achieving aggressive EGS and hydrothermal resource deployment will require improving sub-economic naturally occurring hydrothermal systems or developing fully engineered geothermal reservoirs.

Subsurface access through drilled and completed wells is required for all forms of geothermal energy exploration, characterization, and development.

Microelectronics powers all aspects of our lives, including AI, but America faces intense global competition in critical microelectronics applications, including ultra-efficient semiconductors for AI computing, power electronics, and communication networks.

The high costs and risks associated with geothermal exploration are a major barrier to expanded development of both conventional hydrothermal and EGS resources.

Novel AI could discover new quantum algorithms by automating and optimizing their design and translating them into applications without requiring prior domain knowledge.

Automating at least some parts of the scientific experimental scheme will both increase the volume of data produced for improved AI models and improve the repeatability of experiments.

The Fiscal Year 2022-2026 Multi-Year Program Plan builds on the findings of the GeoVision, providing a high-level plan for the Office's research to support the growth and long-term contribution of geothermal energy to the nation.