13 citations · 13 across the 3 of their papers we have counts for
5 papers
Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness Characterization from Optical Spectra of Perovskite Thin Films
Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj +13
Transfer learning increasingly becomes an important tool in handling data scarcity often encountered in machine learning. In the application of high-throughput thickness as a downs…
Advancing the Pareto front for thin-film materials using a self-driving laboratory
Benjamin P. MacLeod, Fraser G. L. Parlane, Connor C. Rupnow +13
Useful materials must satisfy multiple objectives, where the optimization of one objective is often at the expense of another. The Pareto front reports the optimal trade-offs betwe…
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…
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…
Investigation of light ion fusion reactions with plasma discharges
T. Schenkel, A. Persaud, H. Wang +10
The scaling of reaction yields in light ion fusion to low reaction energies is important for our understanding of stellar fuel chains and the development of future energy technolog…