Instrumentation for the New Phase Change Materials for Photonics: Closed-loop Autonomous Atomic-laye
Abstract
The University of Maryland (UMD) seeks support for installation and development of a closed-loop autonomous atomic-layer design and,synthesis (CLAADS) system which is entirely driven by artificial intelligence (AI). The goal of the project is to demonstrate for th,e first time an autonomous platform for design, fabrication, and characterization of functional materials at the atomic layer-by-lay,er level which is steered dynamically by Bayesian active learning. The proposed instrument is an advanced combinatorial laser molecu,lar beam epitaxy (MBE) system equipped with a scanning reflection high-energy electron diffraction (RHEED) capability, and we will i,mplement our machine learning algorithms for fully autonomous operation. CLAADS is a direct extension of a recent work carried out u,nder an ONR MURI program, where a high-performance phase change memory material was discovered using an autonomous combinatorial mat,erials exploration strategy: with each closed-loop cycle taking less than 30 minutes, the material composition was optimized after o,nly a small fraction of all possible experiments were performed. In the proposed project, by integrating our neural network based li,ve analysis of RHEED images, we will take autonomous materials synthesis to the ultimate level, where AI dictates the atomic arrange,ments of thin films on the fly as they are being synthesized and characterized in closed loops. The proposed project is a culminatio,n of the high-throughput materials discovery effort which started with an ONR Young Investigator Program Award at UMD two decades ag,o. The instrumentation will further enhance materials discovery capabilities at UMD and can benefit various programs on development,of materials for electronics, sensors, and networks.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 08, 2022
- Source ID
- N000142212455
Entities
People
- Ichiro Takeuchi
Organizations
- Office of Naval Research
- United States Navy
- University of Maryland