Lusann Yang
Lusann has been a software engineer within Google Research since September 2014. She works on projects that combine Google's strengths in experimental design, machine learning, and statistical data analysis at scale with basic scientific research. Lusann enjoys working on problems across a range of applied physics topics, including, in particular, experimental combinatorial oxide synthesis and computational materials science.
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Discovery of complex oxides via automated experiments and data science
Joel A Haber
Zan Armstrong
Kevin Kan
Lan Zhou
Matthias H Richter
Christopher Roat
Nicholas Wagner
Patrick Francis Riley
John M Gregoire
Proceedings of the Natural Academy of Sciences (2021)
Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds
Nathaniel Cabot Thomas
Tess Smidt
Steven Kearnes
Li Li
Kai Kohlhoff
Patrick Riley
(2018)
