the National Natural Science Foundation of China under Grant Nos 11434012 and 11874061
Using deep convolutional neural networks as primary learners and a deep neural network as meta-learner, source ranging is solved as a regression problem with the ensemble learning method. Simulated acoustic data from ...
Supported by the National Natural Science Foundation of China under Grant No 61036016;the Beijing Higher Education Young Elite Teacher Project under Grant No YETP0086
Wavelength 1064 nm is one of the most widely used laser wavelengths in industries and science. The high-precision measurement of the refractive index of optical materials at 1064 nm is significant for improving the op...
Supported by the National Natural Science Foundation of China under Grant No 61170228.
In the quantum metrology,applications of quantum techniques based on entanglement bring in some better performances than conventional approaches.We experimentally investigate an application of entanglement in accurate...
Supported by the National Natural Science Foundation of China under Grant No 2002CB40970.
The concept of the waveguide invariant is revisited and a simple relationship between the range of source and the quasi-period of the acoustic interference spectrum in the frequency domain (Ω-interference spectrum)...
Supported by the National Basic Research Program (2007CB815000), and the National Natural Science Foundation of China (10775004 and 10975008).
The microscopic c.m. correction energies for nuclei ranging from oxygen to calcium are systematically calculated by both spherical and axially deformed relativistic mean-field (RMF) models with the effective interac...