DARPA Young Faculty Award

We are grateful and excited to work on an exciting new research direction in electroluminescent cooling with DARPA support over the next few years. More information here: https://samueli.ucla.edu/materials-scientist-receives-darpa-young-faculty-award-to-advance-cooling-technologies/

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Paper out in Advanced Optical Materials!

Congratulations to lead author Chris Yeung and the rest of the machine learning team on our new paper in Advanced Optical Materials on a generative deep learning-based approach to multi-photonics-structure class inverse design: https://onlinelibrary.wiley.com/doi/full/10.1002/adom.202100548

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Paper out in Nanophotonics

We have a new publication in Nanophotonics entitled “Multiplexed supercell metasurface design and optimization with tandem residual networks” – available here. Congratulations to the whole team!

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New publication in Applied Physics Letters

In work driven by Bin Zhao, a visiting Ph.D. student to the group, we show that a different strategy to optimizing the operational conditions of thermoelectric generators driven by radiative cooling and improve their output substantially, even with today’s TEGs. Available here.

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Paper out in ACS Photonics on explainable ML!

Our paper on using explainable machine learning to elucidate physical behavior in nanophotonic structures is out in ACS Photonics! https://pubs.acs.org/doi/10.1021/acsphotonics.0c01067 Congratulations to group members Chris Yeung, Ju-Ming Tsai, Brian King, Yusaku Kawagoe, David Ho and our collaborator Mark Knight at Northrop Grumman.

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