Scope:

  • Robot Assisted Synthesis of Thin Film Semiconductors: Participants will actively engage in hands-on lab experiments to fabricate and characterize thin film halide perovskite semiconductors by making use of the Foundry’s AutoBot robotic platform.
  • AI/ML Applications Exploration: Participants will learn how AI/ML is currently being utilized in the field of energy materials by actively applying it to your data collected in the lab. Participants will explore techniques that could revolutionize research practices.
  • Gaps Identification: We will pinpoint deficiencies in knowledge and training that hinder the utilization of AI/ML in materials sciences. Participants will explore AI/ML tools to complement research practices.
  • Emerging Energy Materials Focus: We will teach you on the emergent thin film semiconductors halide perovskites for energy applications. These materials have their own challenges that we aim to tackle with AI/ML technologies.

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