2 papers
physics.app-ph2020
Quantifying Defects in Thin Films using Machine Vision
Nina Taherimakhsousi, Benjamin P. MacLeod, Fraser G. L. Parlane +4
The sensitivity of thin-film materials and devices to defects motivates extensive research into the optimization of film morphology. This research could be accelerated by automated…
physics.app-ph2019
Self-driving laboratory for accelerated discovery of thin-film materials
Benjamin P. MacLeod, Fraser G. L. Parlane, Thomas D. Morrissey +17
Discovering and optimizing commercially viable materials for clean energy applications typically takes over a decade. Self-driving laboratories that iteratively design, execute, an…