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Multi-objective Molecular Optimization for Opioid Use Disorder Treatment Using Generative Network Complex

Autor: Feng, Hongsong, Wang, Rui, Zhan, Chang-Guo, Wei, Guo-Wei

Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various conditions, there is a pressing need for the discovery of new medicati

Externí odkaz: http://arxiv.org/abs/2306.07484

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Atomic clock locking with Bayesian quantum parameter estimation: scheme and experiment

Autor: Han, Chengyin, Ma, Zhu, Qiu, Yuxiang, Fang, Ruihuan, Wu, Jiatao, Zhan, Chang, Li, Maojie, Huang, Jiahao, Lu, Bo, Lee, Chaohong

Publikováno v: PHYS. REV. APPLIED 22, 044058 (2024)

Atomic clocks are crucial for science and technology, but their sensitivity is often restricted by the standard quantum limit. To surpass this limit, correlations between particles or interrogation times must be leveraged. Although the sensitivity ca

Externí odkaz: http://arxiv.org/abs/2306.06608

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Bayesian optimization of Bose-Einstein condensation via evaporative cooling model

Autor: Ma, Jihao, Fang, Ruihuan, Han, Chengyin, Jiang, Xunda, Qiu, Yuxiang, Ma, Zhu, Wu, Jiatao, Zhan, Chang, Li, Maojie, Lu, Bo, Lee, Chaohong

To achieve Bose-Einstein condensation, one may implement evaporative cooling by dynamically regulating the power of laser beams forming the optical dipole trap. We propose and experimentally demonstrate a protocol of Bayesian optimization of Bose-Ein

Externí odkaz: http://arxiv.org/abs/2303.05358

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