Search Results for author: Armi Tiihonen

Found 2 papers, 1 papers with code

Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up

no code implementations • 8 Oct 2021 • Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi

While halide perovskites attract significant academic attention, examples of at-scale industrial production are still sparse.

Active Learning BIG-bench Machine Learning +1

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Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

1 code implementation • 23 May 2021 • Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi

In the field of machine learning (ML) for materials optimization, active learning algorithms, such as Bayesian Optimization (BO), have been leveraged for guiding autonomous and high-throughput experimentation systems.

Active Learning Bayesian Optimisation +2

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