C
Changming Wu
Researcher at University of Washington
Publications - 24
Citations - 811
Changming Wu is an academic researcher from University of Washington. The author has contributed to research in topics: Photonics & Artificial neural network. The author has an hindex of 9, co-authored 24 publications receiving 274 citations. Previous affiliations of Changming Wu include Hong Kong University of Science and Technology.
Papers
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Journal ArticleDOI
On-the-fly closed-loop materials discovery via Bayesian active learning.
A. Gilad Kusne,A. Gilad Kusne,Heshan Yu,Changming Wu,Huairuo Zhang,Jason R. Hattrick-Simpers,Brian L. DeCost,Suchismita Sarker,Corey Oses,Cormac Toher,Stefano Curtarolo,Albert V. Davydov,Ritesh Agarwal,Leonid A. Bendersky,Mo Li,Apurva Mehta,Ichiro Takeuchi +16 more
TL;DR: An autonomous materials discovery methodology for functional inorganic compounds is demonstrated which allow scientists to fail smarter, learn faster, and spend less resources in their studies, while simultaneously improving trust in scientific results and machine learning tools.
Journal ArticleDOI
Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network.
TL;DR: In this article, a multimode photonic computing core consisting of an array of programable mode converters based on on-waveguide metasurfaces made of phase-change materials is demonstrated.
Journal ArticleDOI
Nonvolatile Electrically Reconfigurable Integrated Photonic Switch Enabled by a Silicon PIN Diode Heater.
Jiajiu Zheng,Zhuoran Fang,Changming Wu,Shifeng Zhu,Peipeng Xu,Jonathan K. Doylend,Sanchit Deshmukh,Eric Pop,Scott T. Dunham,Mo Li,Arka Majumdar +10 more
TL;DR: In this article, with phase transitions actuated by in situ silicon PIN diode heaters, scalable nonvolatile electrically reconfigurable photonic switches using PCM-clad silicon waveguides and microring resonators are demonstrated.
Journal ArticleDOI
Low-Loss Integrated Photonic Switch Using Subwavelength Patterned Phase Change Material
TL;DR: In this article, the authors demonstrate a 1 × 2 × 2 s switch that can be dynamically reconfigured in both interchip optical interconnects and data center networks that need to be dynamic reconfigured.
Journal ArticleDOI
Programmable Phase-change Metasurfaces on Waveguides for Multimode Photonic Convolutional Neural Network
TL;DR: A phase-change metasurface mode converter is demonstrated, which can be programmed to control the waveguide mode contrast, and an optical convolutional neural network is built to perform image processing tasks with high accuracy.