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Recent BSAC Publications

Title Author 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 Journal Article, 2023
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 Journal Article, 2023
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; Jong Ha Park; Liwei Lin Conference Paper (Proceedings), 2023
Trial-and-Error Learning for MEMS Structural Design Enabled by Deep Reinforcement Learning Fanping Sui; Wei Yue; Ziqi Zhang; Ruiqi Guo; Liwei Lin Conference Paper (Proceedings), 2023
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 Conference Paper (Proceedings), 2023

Search Results

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; Jong Ha 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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