We investigate the supervised machine learning of few interacting bosons in optical speckle disorder via artificial neural networks. The curve shows an approximately universal power-law scaling for different particle numbers and interaction strengths. introduce a network architecture that can be trained tested on heterogeneous datasets including numbers. This provides accurate predictions all s...

Abstract The measurement results of the light-scattering airborne particle counter can effectively evaluate concentration particles in clean environment and confined space, accuracy improvement calibration has attracted more attention. This paper introduces ‘post-collection-check’ way method OPC (Optical Particle Counter), based on FESEM (Field Emission Scanning Electron Microscopy) AAO (Anodic...

Abstract We consider a class of interacting particle systems with values in [0,∞)Zd , of which the binary contact path process is an example. For d ≥ 3 and under a certain square integrability condition on the total number of the particles, we prove a central limit theorem for the density of the particles, together with upper bounds for the density of the most populated site and the replica ove...