4 results about "Atomic energy" patented technology

This invention relates to the field of detection, and in particular to an online method and system for detecting impurities in calcium carbonate ore. Specifically, it includes: acquiring a continuous multispectral image sequence of calcium carbonate ore on a conveyor belt, and performing radiometric correction and spectral normalization preprocessing; identifying dominant spectral clusters of pure calcium carbonate ore by statistically analyzing the pixel spectra of the preprocessed images, and selecting a subset of high-confidence pixel spectra as the initial background training set; training a background dictionary, applying a set of sparse regularization constraints during training, and using the correlation between spectral bands to constrain the atomic energies of the dictionary to continuous or strongly correlated band groups; for each pixel of the detected image, using a sparse approximation algorithm combined with the background dictionary, calculating a sparse reconstruction coefficient vector and a reconstruction residual vector, and obtaining the reconstruction residual and coefficient activation uncertainty measure, respectively; if the reconstruction residual exceeds a first threshold, or the uncertainty measure exceeds a second threshold, it is determined to be an impurity point, and the location and quantity are summarized to generate an online impurity distribution map.

The invention relates to a tunable laser frequency stabilization system and method based on Rydberg atom direct current stark, and belongs to the technical field of laser frequency stabilization. The tuned frequency is determined by the atomic state and the voltage at the two ends of the polar plate and can be calculated through a theoretical model, the locked laser frequency has high precision and long-term stability, and the precision and the long-term stability are within MHz. In the invention, the atomic gas chamber with the built-in electrode plate is adopted to avoid the problem that a traditional gas chamber can shield a direct-current electric field, a direct-current electric field can be generated in the atomic gas chamber by applying a voltage to the two ends of the electrode plate, and an atomic energy level moves due to a direct-current stark effect, so that the tuning of the frequency of the coupled laser can be completed; the applied voltage is generally below 10V, the tuning range is between GHz and dozens of GHz according to different selected Rydberg states, and the operation is relatively convenient and simple.

This invention discloses a laser isotope mass spectrometer, which consists of a controller, a LIBS subsystem, an SLRI subsystem, a timing controller, an ion transport primary focusing module, and a TOF mass analyzer. The beneficial effects of this invention are that the combination of LIBS laser and secondary laser resonance ionization (SLRI) allows for simultaneous preliminary analysis of elemental composition and content during the first LIBS ionization; based on the prior knowledge of the isotopic atomic energy levels of elements obtained from the first LIBS ionization, the resonance wavelength can be preferentially selected during the secondary resonance ionization. The four-channel SLRI optical path configuration enables tunable laser output from ultraviolet to infrared, and the application of ion focusing mirrors and reflectors enables spatiotemporally synchronized focusing and high-resolution mass sensing.

The embodiments of this application relate to the field of computational materials science, and particularly to a method and computer storage medium for simulating the precipitation process of hydrides in metals. The method includes the following steps: S10: determining the relationship between atomic energy and lattice structure of a metal solid solution, the metal, and the hydride, wherein the metal solid solution is a mixture of metal and hydrogen; S20: constructing a neural network model of atomic energy and lattice structure; S30: training the neural network model of step S20 using the relationship between atomic energy and lattice structure determined in step S10; S40: simulating the precipitation process of hydrides in metals using molecular dynamics and Monte Carlo methods based on the neural network model determined in step S30. The method provided in this application considers metal solid solutions, can reflect the precipitation process of hydrides, and thus can achieve accurate simulation of the precipitation process of metal hydrides under microscopic conditions, which is beneficial for guiding the design of hydrogen-resistant embrittlement metal materials.