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- BSAC is an interdisciplinary engineering research consortium designed to enable commercially relevant, pre-competitive research through collaboration and sustained partnerships between industry and academia.
  
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- BSAC is supported and guided by a consortium of industry leaders. With a relatively modest investment, BSAC members gain unique access to cutting-edge interdisciplinary MEMS research and BSAC faculty, students, and postdocs.
  
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- BSAC's multi-disciplinary research team includes nearly 100 graduate students and post-doctoral researchers that are led by 10 co-directors from the engineering faculties of electrical, mechanical, and bioengineering at UC Berkeley and UC Davis. BSAC co-directors oversee nearly 100 projects for which prepublication research is reported to BSAC Industrial Members during the semiannual research review.
  
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Publications

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Title	Author	Year	Publication type
Anomalous Thickness Dependence of Photoluminescence Quantum Yield in Black Phosphorous	Naoki Higashitarumizu; Shiekh Zia Uddin; Daniel Weinberg; Nima Sefidmooye Azar; I K M Reaz Rahman; Vivian Wang; Kenneth B. Crozier; Eran Rabani; Ali Javey	2023	Journal Article
Tape-Free, Digital Wearable Band for Exercise Sweat Rate Monitoring	Manik Dautta; Luis Fernando Ayala-Cardona; Noelle Davis; Ashwin Aggarwal; Jonghwa Park; Shu Wang; Liam Gillan; Elina Jansson; Mikko Hietala; Hyunhyub Ko; Jussi Hiltunen; Ali Javey	2023	Journal Article
High-SPL and Low-Driving-Voltage pMUTs by Sputtered Potassium Sodium Niobate	Fan Xia; Yande Xia; Sedat Pala; Ryuichi Arakawa; Wei Yue; Pei-Chi Tsao; Chun-Ming Chen; Hanxiao Liu; Megan Teng; Jongha Park; Liwei Lin	2023	Conference Paper (Proceedings)
Trial-and-Error Learning for MEMS Structural Design Enabled by Deep Reinforcement Learning	Fanping Sui; Wei Yue; Ziqi Zhang; Ruiqi Guo; Liwei Lin	2023	Conference Paper (Proceedings)
Drone-Mounted Low-Frequency pMUTs for > 6-Meter Rangefinder in Air	Hanxiao Liu; Yande Peng; Wei Yue; Seiji Umezawa; Shinsuke Ikeuchi; Yasuhiro Aida; Chunming Chen; Peggy Tsao; Ying Dong; Xiaohao Wang; Liwei Lin	2023	Conference Paper (Proceedings)

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