Molecular Property Prediction with Photonic Chip‐Based Machine Learning
Hui Zhang(Jiangxi University of Water Resources and Electric Power), A. Q. Liu(Hong Kong Polytechnic University), Hong Cai(Institute of Microelectronics), L. C. Kwek(Centre for Quantum Technologies), Chee‐Kong Lee(KLA (United States)), Lingxiao Wan(Nanyang Technological University), Xianshu Luo(Singapore Science Park), Guo‐Qiang Lo(Agency for Science, Technology and Research), Yuzhi Shi(Tongji University), Liang Shi(Xiangtan University), Jonathan Wei Zhong Lau(National University of Singapore)
Cited by 21
Related Papers
An optical neural chip for implementing complex-valued neural network
|Nature Communications|2021|670
ZnO Nanosheets Abundant in Oxygen Vacancies Derived from Metal‐Organic Frameworks for ppb‐Level Gas Sensing
|Advanced Materials|2019|553
Metal‐Organic Framework Based Gas Sensors
|Advanced Science|2021|481
Carbon nanotube-enhanced electrochemical DNA biosensor for DNA hybridization detection
|Analytical and Bioanalytical Chemistry|2003|428
An integrated silicon photonic chip platform for continuous-variable quantum key distribution
|Nature Photonics|2019|376