This workshop delves into the transformative potential of integrating first principles methodologies with machine learning techniques to propel energy science into a new era of discovery and innovation. By leveraging the synergy between fundamental theoretical frameworks and advanced data-driven approaches, participants will explore how autonomous experimentation can revolutionize the energy research landscape. Through case studies in different physics and engineering domains, discussions, and poster sessions, this workshop aims to equip attendees with the knowledge and tools necessary to harness the power of data-driven autonomy in addressing complex energy challenges and driving impactful advancements in the field.

Open to all.

Poster session: we will have a small poster session of some of the work related to energy and the uses of AI in this context. We invite anyone to present as poster or small presentation about their work. If interested contact us.

Contact Name:  Aldo Romero

Email: alromero@mail.wvu.edu