New work by our machine learning team, now on arXiv! https://arxiv.org/abs/2008.00587
Read MoreNew work by our machine learning team, now on arXiv! https://arxiv.org/abs/2008.00587
Read MoreOur 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.
Read MoreAaswath was awarded a 2020-2021 UCLA Hellman Fellows Award. Thank you for the support!
Read MoreOur new article examining the potential of paints for radiative cooling is out in Joule: https://www.cell.com/joule/pdf/S2542-4351(20)30179-3.pdf
Read MoreAn exciting experimental result led by Ph.D. student Jin Xu is now posted on arXiv! https://arxiv.org/abs/2004.06240
Read MoreAaswath’s perspective on infrared direct rectification of thermal radiation was published in Science.
Read MoreExciting work led by Ph.D. student Chris Yeung and M.S. student Ju-Ming Tsai is now posted on arXiv! https://arxiv.org/abs/2003.06075
Read MoreA preprint of work by Ph.D. student Jin Xu is now available on IEEE TechrXiv.
Read MoreA New York Times article discusses our recent publication in Joule and provides excellent context for its motivations and potential impact.
Read MoreJohn Brewer was selected as one of seven students in this year’s NRT-INFEWS cohort at UCLA. Congratulations! http://www.infews.ucla.edu/trainees
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