193 results about "Electron density" patented technology

The invention discloses a double-layer ionosphere modeling method fusing low-orbit satellite data, which comprises the following steps of: preprocessing ground-based GNSS (Global Navigation Satellite System) data to obtain an STEC expression of a ground-based GNSS; preprocessing the precise orbit determination data of the low-orbit satellite to obtain a VTEC expression of the precise orbit determination data; obtaining an electron density profile product of the radio occultation of the low-orbit satellite, and obtaining VTEC of the radio occultation through profile integration; using two groups of spherical harmonic coefficients to express global VTEC distribution, and constructing an observation equation; and determining weights of different types of data by using Helmert variance component estimation, and finally solving to obtain two groups of spherical harmonic coefficients to generate an ionized layer grid product. Projection errors caused by vertical layering in a traditional single-layer model are weakened, meanwhile, precise orbit determination data and radio occultation data of a low-orbit satellite are combined, the problem that ionosphere TEC cannot be correctly layered in a double-layer model is solved, data of areas where GNSS tracking stations are sparsely distributed are supplemented, and the reliability of the GNSS tracking stations is improved. Therefore, a global ionosphere model with higher precision is obtained.

The invention belongs to the technical field of computational electromagnetics, and discloses a numerical calculation method for simulating electromagnetic wave propagation characteristics in time-varying plasma, which is a three-dimensional Newton-HIE-FDTD method for efficiently simulating propagation of electromagnetic waves in time-varying plasma based on a hybrid explicit-implicit finite difference time domain method and Newton's second law of motion. The method inherits the advantages of the Newton-ADE-FDTD method, the time-varying electron density is accurately represented through the time derivative, and the abundant dynamic characteristics of the time-varying plasma can be accurately captured. On the basis, the method also fuses the advantages of an HIE-FDTD method, so that the time step length of the algorithm is only restricted by the sizes of grids in two directions, and compared with other simulation methods based on time-varying plasma, the method provided by the invention is more excellent in calculation efficiency and is more suitable for large-scale popularization and application. The method is especially suitable for analysis and simulation of electromagnetic wave propagation characteristics in time-varying plasma.

The present invention relates to a method for calculating an electronic structure of a material by using quantum computing. Particularly, the method of the present invention for calculating an electronic structure of a material performed linking a quantum computer and a classical computer, may comprise the steps of: fragmenting a target molecule into fragments of a plurality of monomers having a predetermined positional relation; performing a first VQE routine for performing a Hamiltonian matrix calculation for the plurality of monomers on the basis of a calculation of electron density for the plurality of monomers, inputting modified electron density, and repeating the first VQE routine performing the Hamiltonian matrix calculation until the modified electron density according to the Hamiltonian matrix by the result of the first VQE routine converges; and performing a second VQE routine for performing a Hamiltonian matrix calculation on one or more dimers consisting of two monomer pairs of the plurality of monomers.

The invention provides a novel finite difference time domain (FDTD) method based on a Newton second law of motion and a bilinear transformation (BT) technology. The method is used for simulating propagation of electromagnetic waves in time-varying magnetized plasma. According to the method, the time-varying electron density is accurately represented through the time derivative, so that abundant dynamic characteristics of the time-varying magnetized plasma can be captured more accurately. A numerical result shows that compared with a Newton-ADE-FDTD method, a traditional ADE-FDTD method and a BT-FDTD method, the Newton-BT-FDTD method provided by the invention has higher precision and calculation efficiency on the time-varying magnetized plasma, especially under the condition of the time-varying magnetized plasma with dramatic electron density change. In addition, the propagation characteristics of the electromagnetic waves in the time-varying magnetized plasma are analyzed.

The invention provides a method for analyzing femtosecond laser-induced damage behaviors on the surface of a Zn-doped KDP crystal, and belongs to the technical field of engineering optics based on computer data processing. The method comprises the following steps: firstly, respectively analyzing the influence of the Zn doping amount on the band gap and electroacoustic coupling of the KDP crystal through an ultraviolet-visible absorption spectrum and a Brillouin light scattering spectrum; then constructing a one-dimensional model, respectively simulating the electron density, lattice temperature and time evolution of electron temperature on the surface of the Zn-doped KDP crystal under femtosecond laser irradiation through an electron density accumulation rate equation and a double-temperature model, and theoretically analyzing the influence of the Zn doping amount on the damage behavior of the surface of the KDP crystal. And a theoretical model for calculating the femtosecond laser induced damage threshold is established, so that the optimal doping amount of Zn is determined in a lossless manner. A real sample is not contacted, so that the sample utilization rate is improved; the simulation process is more stable and controllable, and the data repeatability is high; and the research period can be shortened, and optimal doping amount screening is accelerated.

An intermolecular interaction analysis device (1) is provided with: a molecule arrangement unit (12) that specifies the arrangement of the position of a molecule (B) represented by stereostructure data (22) for the molecule (B) with respect to the position of a molecule (A) represented by stereostructure data (21) for the molecule (A); a contact surface definition unit (13) that defines, as a contact surface, a surface in which the electron density of the molecule A calculated from the three-dimensional structure data (21) of the molecule A and the electron density of the molecule B calculated from the three-dimensional structure data (22) of the molecule B are equal; and an evaluation unit (14) that evaluates the attractive interaction between the molecule A and the molecule B on the basis of the electrostatic complementarity between the molecule A and the molecule B on the contact surface, the electrostatic complementarity being quantified from the electrostatic potential of the molecule A calculated from the stereostructure data (21) of the molecule A and the electrostatic potential of the molecule B calculated from the stereostructure data (22) of the molecule B.

The invention discloses a vacuum circuit breaker closing electric breakdown multi-physical field coupling simulation calculation method, which comprises the following steps of: performing simulation analysis on an electric field on the surface of a single micro-bulge by constructing a geometric model of a micro-bulge on the surface of a contact of a vacuum circuit breaker to obtain the electric field intensity of the micro-bulge surface and the current density of field emission in the closing process of the vacuum circuit breaker; the critical opening range of field emission is determined; obtaining metal vapor pressure distribution characteristics of the contact material at different moments by taking a critical opening range of field emission as an initial condition; and according to the metal vapor pressure distribution characteristics, obtaining the electron density in the breakdown process of the vacuum circuit breaker so as to determine the evolution rule of the microcosmic plasma parameters and obtain the closing breakdown characteristics. According to the method, the electric breakdown characteristics under different contact surface structures can be accurately analyzed, and an initial plasma condition can be provided for pre-breakdown equilibrium arc modeling, so that the modeling precision is greatly improved.

The invention provides a high-enthalpy shock tunnel free flow electron density two-dimensional diagnosis system and method. The system comprises a laser, a sheet light assembly, a double-camera imaging system, a time sequence synchronizer, a work station and other core components. NO molecules in a flow field are excited by laser to generate fluorescence, two fluorescence images with nanosecond delay are obtained by using a spectroscope and two sets of synchronous acquisition systems, fluorescence lifetime two-dimensional distribution is calculated based on a fluorescence intensity ratio, and then two-dimensional space distribution of electron density is obtained through inversion of a physical model. Non-contact measurement is achieved, interference of a traditional probe on a flow field is avoided, the method has the outstanding advantages of two-dimensional visualization, high temporal-spatial resolution, high measurement precision and the like, and a reliable diagnosis means is provided for high-enthalpy flow field characteristic research and aircraft communication performance evaluation.

The invention discloses a precise point positioning method for obtaining STEC on an inclined path by using an ionized layer machine learning chromatography method and a medium, and the method comprises the steps: dividing a research region into a plurality of pixels, and determining a coefficient matrix; solving a tomographic equation to obtain electron density; a machine learning model based on machine learning is established, training is carried out through learning samples, and then the electron density of pixels without observation information is predicted; and converting the electron density into inclined total electron content, converting the electron density into vertical total electron content for comparison verification, and then converting the vertical total electron content into ionospheric delay. In the technical scheme of the invention, the ionosphere chromatography method based on the algebraic reconstruction algorithm is utilized to perform inversion on all pixels, then the electron density inversion value of the pixel with observation information and the characteristics of the electron density inversion value are utilized to train the machine learning model, and then the electron density of the pixel without observation information is predicted, so that the precision of an ionosphere product is improved; and the precision single-point positioning performance is obviously improved.

The invention discloses a high-temperature high-density plasma generation and radiation opacity measurement method, which comprises the following steps: clamping a target material by using low-density low-Z-element foam to form a sandwich structure sample, and synchronously and directly driving the sandwich sample from two sides by using multiple beams of smooth nanosecond laser, the preparation temperature reaches 1,000,000 DEG C, and the electron density reaches 1 * 1023 pieces per cubic centimeter; then generating an X-ray source through the action of one or more nanosecond laser beams and the high-Z material, measuring the absorption spectrum of the X-ray source penetrating through the target plasma, the backlight spectrum of the X-ray source not penetrating through the target plasma and the self-emission spectrum of the target plasma through a spectrograph, and finally realizing the measurement of the radiation opacity of the high-temperature and high-density plasma. The high-temperature and high-density plasma radiation opaqueness measurement device has the beneficial effects that the high-temperature and high-density plasma radiation opaqueness measurement of which the temperature reaches 1,000,000 DEG C and the electron density reaches 1 * 1023 per cubic centimeter is realized on a million-joule nanosecond laser device.

The invention relates to the technical field of radiotherapy, and discloses a multi-modal image fusion guided chest tumor adaptive radiotherapy system. The system comprises an asynchronous bimodal sensing module, a spectrum preprocessing module, a parameter inversion module, a boundary construction module and a biomechanical calculation module. According to the method, the feedback voxel-level velocity field is utilized to execute Lagrange reverse warping on the high-energy projection with physical time delay, and motion artifacts are eliminated; and dynamically updating the Young modulus of the lung tissue mechanical model based on the inverted real-time electron density, and solving a full-field three-dimensional displacement field in combination with double boundary conditions of body surface flexibility and internal skeleton rigidity so as to reconstruct a tumor target region and generate a beam control instruction. According to the method, through closed-loop interaction of image physics and biomechanics, the problems of dual-energy imaging motion artifact interference and insufficient lung tissue fixed parameter modeling precision are solved, and accurate self-adaptive tracking of a tumor target region is realized.

The present application belongs to the field of cryo-EM image processing, and particularly relates to a complex noise removal method and system based on single-particle cryo-EM images. The present application aims to solve the problem of low resolution and accuracy and insufficient generalization of the three-dimensional structure obtained by the denoising method of the prior art. The present application comprises: constructing a standard cryo-EM multi-particle image dataset; pre-training a background noise removal network and a structure noise removal network based on the standard cryo-EM multi-particle image dataset, and combining the two to obtain a complex noise removal network; performing three-dimensional reconstruction on a single particle set to obtain a three-dimensional reconstructed particle set, calculating the correlation coefficient of the three-dimensional reconstructed particle and the three-dimensional electron density map, constructing a complex noise removal objective function based on the correlation coefficient, and optimizing the complex noise removal network based on the complex noise removal objective function; and removing complex noise by using the optimized complex noise removal network. The present application improves the denoising performance and generalization ability of the model.

This invention belongs to the field of laser cladding detection technology, specifically relating to a method for extracting and analyzing spectral signal features during the cladding process of PDC drill bits. The method includes: acquiring a real-time plasma spectral sequence of the PDC drill bit cladding process using a fiber optic probe and spectrometer; obtaining spectral line effectiveness weights based on the intensity and signal-to-noise ratio of characteristic spectral lines in the plasma spectral sequence; obtaining elemental fusion state indices based on the spectral line effectiveness weights, the intensity of hard phase spectral lines, and the intensity of binder phase spectral lines; obtaining cladding quality stability based on the elemental fusion state index and plasma electron density fluctuations; and determining cladding defects in the PDC drill bit based on the cladding quality stability. This invention effectively suppresses the interference of strong background noise on the monitoring results by integrating spectral signal-to-noise ratio weights and electron density fluctuation characteristics, thus improving the accuracy of detecting component segregation and thermodynamic instability in the cladding layer.

The present invention relates to the field of clinical radiotherapy technology, and in particular to a test system and method for the effect of an iodized oil area on photon radiotherapy dose. The system comprises: a plurality of iodized oil samples, each of which is made by mixing minced pig liver and iodized oil in different proportions; a cylindrical sample tube, each of which is composed of a plurality of detachably connected sample chambers, each of which is provided with the iodized oil samples in the sample chambers, each corresponding to the iodized oil sample. The linear accelerator irradiates an abdominal simulation phantom into which the sample tube is inserted. The CT scanner is connected to a radiotherapy planning system, which simulates the irradiation of the sample tube with a photon beam based on a CT image and obtains a simulated dose of electron density. The present application can characterize the effect of the iodized oil area on the photon radiotherapy dose by comparing the simulated dose of electron density obtained by the radiotherapy planning system with the actual dose of electron density obtained by an ionization chamber detector.

The present invention belongs to the field of plasma electron density measurement and discloses a plasma electron density measurement device and method based on laser wavefront analysis. The device uses a frequency doubling crystal to convert a fundamental frequency laser beam into a coaxial fundamental frequency beam and a second harmonic beam. The two coaxial laser beams produce different wavefront changes when passing through plasma, and these changes are converted into changes in the centroid displacement of a focal light spot through a microlens array. Unlike other measurement methods that require the provision of probe light and reference light, the device does not require a comparison before and after the presence of plasma, and only requires a reference to the difference in the change in the centroid of the focal light spot after two coaxial laser beams of different wavelengths pass through the plasma. The use of the measurement device can eliminate the interference of neutral particles during the experiment and eliminate the difference in laser light in two experiments with and without plasma, thereby achieving synchronous compensation and effectively solving the problem that the reference light path provided in the prior art is easily affected by the environment, thereby limiting the measurement accuracy.

The invention discloses an ionized layer three-dimensional electron density chromatography method based on a space-time coding neural network. The method comprises the following steps: acquiring electron density profile data and driving parameters; aligning the electron density profile data and the driving parameters according to a space-time grid to obtain an electron density data set; the electron density data set is input into an implicit neural network for training, an ionosphere three-dimensional electron density model is obtained, and the implicit neural network is obtained through construction based on space-time coding and a multi-layer perceptron algorithm; and simulating or predicting the three-dimensional electron density value of the ionized layer by using the three-dimensional electron density model of the ionized layer. By fusing the multi-source occultation electron density data and the solar geomagnetic driving factor, high-precision and high-temporal-spatial-resolution ionosphere tomography, namely ionosphere three-dimensional electron density reconstruction, can be realized, and quasi-real-time high-precision ionosphere monitoring can be realized.

One aspect of the present invention provides an information processing system comprising at least one processor. The processor is configured to execute a program for executing the following steps of: an acquisition step in which substance information regarding atoms constituting a substance to be calculated is acquired; a first generation step in which a trial electron density of the substance is generated on the basis of the substance information, and the trial electron density is stipulated by a linear combination of expansion functions localized at the positions of the atoms; an optimization step in which expansion coefficients p for the expansion functions constituting the trial electron density are optimized with the energy of the substance set as an objective function in a state in which the positions of the atoms in the trail electron density are fixed; a calculation step in which a force to act on the atoms at the fixed positions is calculated on the basis of the optimization process and result; and a second generation step in which a trial electron density in which the positions of the atoms are updated is generated on the basis of the calculated force. The calculation step includes: calculating, on the basis of the energy of the substance and the expansion coefficients p obtained through the optimization, Hellmann-Feynman forces acting on the atoms; calculating, on the basis of at least one of the expansion coefficients p and the fixed positions of the atoms, at least one of a gradient of the expansion functions with respect to the change in positions of the atoms and a partial differentiation of the expansion coefficients p after the optimization by the fixed positions of the atoms; and correcting the Hellmann-Feynman forces on the basis of at least one of the gradients of the expansion functions with respect to a change in positions of the atoms and the partial differentiation of the expansion coefficients p after the optimization by the fixed positions of the atoms.

The invention relates to the technical field of information communication particularly suitable for specific application fields, and discloses a machine learning-based ionic liquid screening method for catalyzing CO2 cycloaddition reaction. The method comprises the following steps: constructing an ionic liquid three-dimensional structure database; calculating and generating a three-dimensional electrostatic potential and electron density data field through a density functional theory; voxelizing the data field into a standardized multi-channel three-dimensional tensor; utilizing a three-dimensional convolutional neural network regression model to automatically learn space electron characteristics and predict catalytic activity; and performing high-throughput virtual screening on the candidate library. Through end-to-end learning of the mapping relation between the three-dimensional electronic structure and the catalytic activity of the ionic liquid, the prediction accuracy and the screening efficiency are improved.

This application provides a simulation system and method for the AC characteristics of vacuum diodes based on a physical information neural network, belonging to the field of numerical simulation technology for electronic devices. The system includes a particle injection module, a particle deposition module, a Poisson equation solving module, an electric field calculation module, and a particle propulsion module. The particle injection module continuously injects electron particles; the particle deposition module maps particle information to a grid and calculates the electron density; the Poisson equation solving module uses a physical information neural network method to solve for the potential distribution based on the electron density; the electric field calculation module obtains the spatial electric field; and the particle propulsion module updates the particle velocity and position, forming a self-consistent coupled simulation. This application achieves continuous and smooth potential solutions through hard constraint embedding of boundary conditions, two-stage optimization, and loss scale adjustment mechanisms, reducing grid dependence and improving computational accuracy and efficiency. It is suitable for numerical simulation of vacuum electronic devices, electron beam systems, and space charge transport problems.

The application provides a method for analyzing a 4H-SiC femtosecond laser processing optimal energy interval, and belongs to the technical field of engineering optics based on computer data processing. First, the evolution of electron density, lattice temperature and electron temperature under irradiation is simulated by constructing a three-dimensional model and an electron density cumulative rate equation and a double-temperature model, so that the lattice modification threshold and the ablation threshold are determined. Then, a plurality of experimental data points are selected in the interval for single-pulse laser processing, the surface morphology, removal depth and removal radius of each data point are counted by using conventional characterization methods, and the accuracy and non-thermal removal threshold of the model are determined by observing the number of surface spatter particles and the flux calculation of the morphology edge. Further, the optimal structure modification energy interval, cold processing interval and hot ablation processing interval of 4H-SiC are determined. The application uses fewer sample damage test times, improves the sample utilization rate, shortens the research period, and accelerates the flux screening of the optimal laser processing.

The application discloses a transition measurement method based on a plasma probe, wherein the plasma probe is arranged at different positions of an undisturbed part of an aircraft surface; the probe arrangement position is subjected to simulation analysis of aerodynamic heat and a temperature field in a flight process, and a probe material is selected according to a simulation result; three-dimensional plasma flow field simulation results are obtained for typical states in a transition window interval of a flight profile; three-dimensional plasma flow field electron density data are extracted, and a range of the plasma probe is determined according to the three-dimensional plasma flow field electron density data; a probe circuit is designed, and a plasma probe measurement device is obtained; the plasma probe measurement device is used to obtain a measured current-voltage curve and a saturated ion current of the probe, and electron density data are calculated according to the measured current-voltage curve and the saturated ion current, that is, a transition measurement signal of the probe plasma in the flight test, and a step change time of the transition measurement signal is taken as a transition occurrence time of measurement; according to the measured transition occurrence time, combined with telemetry data of the flight test, a transition measurement result is obtained, and validity of the transition measurement result is confirmed.

The invention discloses a day and night transition area electron density inversion method, which comprises the following steps: firstly, starting from extracting a solar zenith angle of a VLF wave propagation path at different moments, providing a subsection correction electron density model suitable for a low ionosphere, and introducing the correction electron density model changing along with the zenith angle into a frequency domain finite element method; a ground-ionosphere waveguide VLF wave amplitude and phase propagation data set is constructed, VLF wave simulation and test data are introduced into an artificial intelligence model, and inversion of corrected electron density parameters is realized. According to the method, the zenith angle and the corrected electron density model are introduced, and VLF wave propagation numerical simulation and experimental testing are combined, so that the constructed artificial intelligence model can quickly and accurately predict the electron density of the day and night transition region of the ionosphere D region.

The embodiment of the present application provides an X-ray measurement method and device, comprising: measuring a to-be-detected object from different angles through X-rays to obtain a plurality of three-dimensional images, performing dimension reduction processing on the three-dimensional images to obtain a two-dimensional image of the to-be-detected object; extracting spatial electron density information of the to-be-detected object at each layer from the two-dimensional image, and further determining key spatial electron density information associated with a measurement parameter; determining an interlayer correlation corresponding to a current layer according to the key spatial electron density information of the to-be-detected object at a reference layer and the key spatial electron density information of the to-be-detected object at the current layer; the reference layer is at least one layer adjacent to the current layer in the to-be-detected object; and determining measurement data of the to-be-detected object at the current layer for the measurement parameter according to the key spatial electron density information of the to-be-detected object at the current layer, the interlayer correlation corresponding to the current layer, and measurement data of the reference layer for the measurement parameter.

The invention discloses a selenate modified heterogeneous MOFs (Metal-Organic Frameworks) material as well as a preparation method and application thereof. The two MOFs with different electronic structures are compounded to form a unique layered nano structure, so that the specific surface area of the material is remarkably increased, and electron transfer and substance transmission paths can be optimized through a synergistic effect. Besides, the heterojunction structure formed at the interface can effectively adjust the electron density of metal sites, and promote the generation and conversion of intermediates (such as M-OOH) in the OER process, thereby improving the catalytic kinetics. The Co-MOFs and the SeO4 < 2-> on the surface synergistically optimize the catalytic activity of Ni active sites on the surface of the heterogeneous MOFs system, the catalytic efficiency of electrochemical oxygen evolution (OER) is improved, meanwhile, the SeO4 < 2-> embedded into the surface optimizes and stabilizes the surface structure of the Co-MOFs / Ni-MOFs, and the Co-MOFs / Ni-MOFs still has efficient catalytic performance and stability in a complex seawater environment.

The application discloses a kind of dual-channel wave-absorbing devices based on plasma composite material, it is related to plasma application field, device includes: metal base, first wave-absorbing material layer, plasma array, second wave-absorbing material layer, first isolation protection layer and second isolation protection layer;First wave-absorbing material layer is set on the upper surface of metal base;First wave-absorbing material layer top is equipped with plasma array;The top of plasma array is equipped with second wave-absorbing material layer;First isolation protection layer and second isolation protection layer are set on the two sides of plasma array;Two wave-absorbing material layers and two isolation protection layers constitute cavity structure;Plasma array is set in cavity structure, so that plasma array is in the cavity formed by wave-absorbing material layer, conducive to the generation and maintenance of plasma electron density, to improve wave-absorbing effect and wave-absorbing performance, in addition, using plasma and wave-absorbing material layer combination forms composite dual-channel wave-absorbing structure, greatly improve wave-absorbing performance.

The application provides a kind of management and control chemical fast LIBS classification identification model construction method, medium and system, belongs to management and control chemical technical field, the application is by collecting mercury argon reference lamp spectrum to carry out wavelength calibration, according to atomic spectrum database extraction management and control element characteristic transition wavelength window and compressed to low-dimensional feature space by sparse self-encoder, with hydrogen line starker broadening and Boltzmann graph slope method real-time inversion electron density and electron temperature and to compressed characteristic matrix is physically normalized, calculates plasma drift index to adaptively adjust plasma parameter decoupling double-flow condition graph network update strategy, the normalized characteristic matrix and physical diagnostic value are input into the artificial intelligence network to output element concentration vector and class prediction probability, solve the technical problems that plasma parameter fluctuation leads to laser-induced breakdown spectroscopy classification feature instability, classification accuracy significantly decreases under the condition of cross-instrument and cross-matrix.

This invention relates to the field of computational chemistry data processing technology, and in particular to a DMol3 electron density difference data processing system and file generation method. The system includes: an input module for acquiring electron density files in specific formats for the overall system and each component generated by DMol3 calculations; a processing module for automatically reading the files and performing numerical calculations on the electron density differences; and an output module for simultaneously generating the calculation results into a first format file and a second format file. This invention, through a multi-format parallel output architecture, solves the technical problems of cumbersome post-processing workflows, single result file formats, and incompatibility with visualization software in existing DMol3 electron density difference data, achieving automation of the data processing workflow and cross-platform compatibility for result display.

This invention provides a method for analyzing the femtosecond laser-induced damage behavior of Zn-doped KDP crystal surfaces, belonging to the field of engineering optics technology based on computer data processing. First, the effects of Zn doping concentration on the bandgap and electroacoustic coupling of the KDP crystal are analyzed using UV-Vis absorption spectroscopy and Brillouin scattering spectroscopy, respectively. Then, a one-dimensional model is constructed, and the time evolution of electron density, lattice temperature, and electron temperature on the Zn-doped KDP crystal surface under femtosecond laser irradiation is simulated using a rate equation for electron density accumulation and a two-temperature model. The influence of Zn doping concentration on the damage behavior of the KDP crystal surface is theoretically analyzed, and a theoretical model for calculating the femtosecond laser-induced damage threshold is established, thus non-destructively determining the optimal Zn doping concentration. This invention avoids contact with real samples, improving sample utilization; the simulation process is more stable and controllable with high data repeatability; it can also shorten the research cycle and accelerate the selection of the optimal doping concentration.

The application discloses an F2 layer critical frequency continuous field reconstruction method and device, equipment and medium, and relates to the ionosphere space parameter prediction field, and comprises the following steps: adding a to-be-predicted space position as a node to an initial heterogeneous graph to obtain a target heterogeneous graph; processing the target heterogeneous graph through a preset graph attention network to obtain an F2 layer critical frequency prediction value corresponding to the to-be-predicted space position; the F2 layer critical frequency prediction value is a prediction value generated based on a scaling relationship between the F2 layer critical frequency and electron density; and performing a continuous field reconstruction operation based on a plurality of F2 layer critical frequency prediction values. Thus, the correlation of different discrete ionosphere sonde stations is utilized by the graph attention network, the F2 layer critical frequency is predicted in combination with the scaling relationship between the F2 layer critical frequency and electron density, the F2 layer critical frequency accuracy and the robustness under disturbance conditions can be improved, and the F2 layer critical frequency of any space position can be predicted, so that the reconstruction of the continuous space field is realized.

The present invention discloses a high-precision and rapid space environment perception method based on a spaceborne antenna. The method comprises the following steps: S1: a circularly polarized antenna performs left-hand circularly polarized transmission to obtain a frequency-standing wave ratio data set A of the antenna; S2: a circularly polarized antenna performs right-hand circularly polarized transmission to obtain a frequency-standing wave ratio data set B of the antenna; S3: an electron density-frequency-standing wave ratio parameter data set C of the circularly polarized antenna in a left-hand circularly polarized transmission mode and an electron density-frequency-standing wave ratio parameter data set D of the circularly polarized antenna in a space environment under a theoretical environment are calculated; and S4: data set A is matched with data set C to obtain an electron density value N corresponding to the most matched row. l , match dataset B with dataset D and get the electron density value N corresponding to the best matching row r ; S5: for N l and N r The weighted average is taken to obtain the electron density N. The present invention can quickly and accurately perceive the electron density in a space environment without accumulation.