3 papers
physics.app-ph2026
Autonomous Reliability Qualification of GaO-based diode sensors via Safe Active Learning
Davi Febba, William A. Callahan, Anna Sacchi +1
Ultra-wide bandgap (UWBG) GaO is a promising semiconductor for high-power and high-temperature electronics. Reliable qualification of these devices under extreme operating…
cond-mat.mtrl-sci2026
Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials
Steven R. Spurgeon, Milad Abolhasani, Frederick Baddour +28
Autonomous science is transforming how we discover materials and chemical systems for advanced energy technologies. However, many initially promising systems never reach deployment…
cond-mat.mtrl-sci2024
From Text to Test: AI-Generated Control Software for Materials Science Instruments
Davi M Fébba, Kingsley Egbo, William A. Callahan +1
Large language models (LLMs) are transforming the landscape of chemistry and materials science. Recent examples of LLM-accelerated experimental research include virtual assistants…