Optical trapping-enhanced probes designed by a deep learning approach

Realizing optical trapping enhancement is crucial in biomedicine,fundamental physics,and precision measurement.Taking the metamaterials with artificially engineered permittivity as photonic force probes in optical tweezers will offer unprecedented opportunities for optical trap enhancement.However,it usually involves multi-parameter optimization and requires lengthy calculations;thereby few studies remain despite decades of research on optical tweezers.Here,we introduce a deep learning(DL)model to attack this problem.The DL model can efficiently predict the maximum axial optical stiffness of Si∕Si_(3)N_(4)(SSN)multilayer metamaterial nanoparticles and reduce the design duration by about one order of magnitude.We experimentally demonstrate that the designed SSN nanoparticles show more than twofold and fivefold improvement in the lateral(k_(x)and k_(y))and the axial(k_(z))optical trap stiffness on the high refractive index amorphous TiO_(2)microsphere.Incorporating the DL model in optical manipulation systems will expedite the design and optimization processes,providing a means for developing various photonic force probes with specialized functional behaviors.

Neutralization of SARS-CoV-2 infection by antibodies targeting diverse epitopes

The CoVID-19 pandemic that started in late 2019 is sweeping through the world,posing historic challenges to global health,and disrupting social and economic lives.Previous and recent studies indicate that monoclonal antibodies can be efficacious in preventing and treating SARSCoV-1 and SARS-CoV-2 infections.Using a phage display platform,we have identified dozens of monoclonal antibodies that bind to diverse epitope groups on the SARS-CoV-2 spike protein.Many of them bound to the receptor binding domain(RBD)and inhibited ACE2-RBD interaction.

Response analysis of NMRG system considering Rb-Xe coupling

The dynamic range of the nuclear magnetic resonance gyroscope can be effectively improved through the closedloop control scheme,which is crucial to its application in inertial measurement.This paper presents the analytical transfer function of Xe closed-loop system in the nuclear magnetic resonance gyroscope considering Rb–Xe coupling effect.It not only considers the dynamic characteristics of the system more comprehensively,but also adds the influence of the practical filters in the gyro signal processing system,which can obtain the accurate response characteristics of signal frequency and amplitude at the same time.The numerical results are compared with an experimentally verified simulation program,which indicate great agreement.The research results of this paper are of great significance to the practical application and development of the nuclear magnetic resonance gyroscope.