128 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 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.

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 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.

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 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 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 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.

A kind of new multifunctional electrochromic material for hyperspectral stealth camouflage belongs to the technical field of hyperspectral stealth camouflage.The electrochromic material is composed of a core molecule and a functional branch connected to the active site of the core molecule, wherein the core molecule is 2,4,6-tris(4-pyridine)-1,3,5-triazine (TPT), and the triazine ring structure has abundant lone pair electrons, which increases the electron density and makes the grafting site have good reactivity, providing a good foundation for the integration of subsequent functional branches; the functional branch is composed of an anchoring branch, a color adjusting branch and a biomimetic branch, which are connected to the three active sites of the core molecule by covalent bond. The multifunctional electrochromic material is applied as an electrochromic layer in an electrochromic reflective device, and the dynamic spectral regulation ability and the biomimetic structure are deeply integrated through chemical bonding, which meets the demand of hyperspectral stealth in complex battlefield environment.

This invention discloses a method for analyzing soft X-ray gain phenomena in trapped ions and the cavity type of the X-ray laser, mainly relating to the field of soft X-ray gain phenomena. The method includes: S1, calculating the small-signal gain coefficient α of the X-ray gain medium to obtain numerical information about the gain coefficient α; S2, the above calculation in S1 requires simulating ion source conditions, selecting different electron densities and incident electron energy points; S3, considering the differences between the ion source and the plasma environment, calculating the small-signal gain coefficient at the center frequency; and S4, analyzing the obtained data. The beneficial effects of this invention are: through the X-ray resonant cavity structure, the output beam can achieve high coherence and good beam quality similar to conventional lasers. It supports high repetition rates and even continuous wave operation, and through continuous collisional excitation and ion reuse in ultra-high vacuum, it eliminates the dependence on driving lasers and target materials, thereby improving peak gain.

This invention discloses a method and system for training and identifying non-covalent interaction models. The identification method includes: acquiring the spatial structure information of the molecular structure to be identified; inputting the spatial structure information of the molecular structure to be identified into an identification model based on a preset electron density; and generating the position coordinates and topological features of non-covalent interactions in the molecular structure to be identified through the identification model. The technical solution provided by this invention solves the problem of inaccurate identification of non-covalent interactions in molecular systems.

Disclosed in the present application are a method and system for crystal analysis. A method for crystal analysis, comprising: acquiring an electron density map of a crystal, the electron density map being generated by performing phase analysis on diffraction data of the crystal; on the basis of electron density peaks of the electron density map, determining coordinates of each non-hydrogen atom of the crystal; on the basis of the coordinates of each non-hydrogen atom of the crystal, building a geometric relationship map of the non-hydrogen atoms; and using a graph neural network-based non-hydrogen atom identification module to determine the element type of each non-hydrogen atom of the crystal on the basis of the geometric relationship map of the non-hydrogen atoms.

The invention provides a molecular dynamics simulation method and system for a many-core architecture processor, and relates to the technical field of molecular dynamics simulation, and the method comprises the steps: obtaining a to-be-simulated metal atom, and constructing an EAM potential function of the to-be-simulated metal atom; by optimizing the calculation process of an EAM potential function, accelerated calculation of metal molecule dynamics simulation is achieved; wherein the calculation process of the optimized EAM potential function comprises the steps of setting a central atom, obtaining a neighbor coordinate of the central atom by using vectorization loading and aggregation operation, calculating the distance between the atoms, screening out neighbors within a truncation distance, and compressing and storing the neighbors in a temporary array; the total electron density is calculated, and the embedding force of the embedding energy function is obtained through table look-up and interpolation; and in combination with the embedding force and the counterforce, calculating and accumulating the force of each neighbor on the central atom, and updating the force of the neighbor atoms through scattering operation until all atoms are traversed circularly, thereby completing the optimal calculation process of the EAM potential function. According to the invention, calculation acceleration optimization on a many-core architecture processor is realized.

The invention discloses a laser-induced breakdown spectroscopy analysis method and device based on parameter matching. The method comprises the following steps: acquiring a plurality of characteristic spectra; calculating the plurality of characteristic spectrums to obtain a plurality of plasma temperatures and a plurality of plasma electron densities corresponding to the calibration sample, and calculating to obtain a plasma temperature relative standard deviation and a plasma electron density relative standard deviation corresponding to the calibration sample; screening the plurality of plasma temperatures and the plurality of plasma electron densities to enable the corresponding relative standard deviations to meet preset conditions, and obtaining a screened plasma temperature subset and a screened plasma electron density subset; constructing characteristic spectrums corresponding to the screened subsets into characteristic spectrum subsets; and constructing a target characteristic calibration model based on the characteristic spectrum subset, wherein the target characteristic calibration model is used for calibrating a plurality of characteristic spectrums corresponding to the to-be-detected sample with unknown target characteristics. Therefore, the accuracy and precision of quantitative analysis on the sample can be improved.

The application belongs to the field of satellite data processing, and particularly relates to a Swarm satellite electron density data daily global drift disturbance automatic identification and removal method, which comprises normalization processing; short-time Fourier transform is performed on the normalized data to obtain a time-frequency matrix, the time-frequency matrix is classified into strong disturbance orbit data and other orbit data by using a two-dimensional convolutional neural network, and a component containing daily global drift disturbance is identified; for the decomposition result of the strong disturbance orbit, the identified disturbance component is removed; for the disturbance component of the other orbit, a medium-strong disturbance interval is identified and located, and a disturbance latitude range is obtained according to a mapping relationship between an image coordinate and a latitude; for the identified medium-strong disturbance orbit, pre-normalization data thereof are obtained and subjected to non-negative matrix decomposition, a corresponding part in the disturbance component is cut off according to the disturbance latitude range, and the remaining part and the remaining components are added to serve as effective signals and reserved, so that automatic cleaning of massive satellite data is realized.

The application 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 electromagnetic wave propagation in time-varying plasma based on a mixed 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, accurately represents the time-varying electron density through the time derivative, and can accurately capture the rich dynamic characteristics of the time-varying plasma. On this basis, the method also integrates the advantages of the HIE-FDTD method, so that the time step of the algorithm is only restricted by the grid size in two directions. Compared with other simulation methods based on time-varying plasma, the method is more efficient in calculation, and is particularly suitable for the analysis and simulation of electromagnetic wave propagation characteristics in time-varying plasma.

The invention discloses a condensed ring compound containing a boron-nitrogen covalent bond and an organic electroluminescent device thereof, the organic compound has a structure as shown in a general formula I, and a highest occupied molecular orbital (HOMO) and a lowest unoccupied molecular orbital (LUMO) are induced to be positioned on different atoms through a multiple resonance effect, so that the bonding / anti-bonding characteristic between the atoms is weakened. According to the invention, the change of electron density between atoms generated by radiative transition from the lowest excited state to the ground state is greatly reduced, so that the telescopic vibration is reduced, and narrow spectrum emission is effectively realized.

Improved thermal detachment driven by leverage from: improved electrical locus targeting allows electron density to define Optimal Regions balancing the resistance and heat whereby, detachment systems are shifted and realigned coaxially and placed closer to the ends of subject coils while being hermetically sealed, manufacturing steps are taught. to show how system is made.

The application discloses an oxygen-doped cobalt-iron sulfide composite material and a preparation method and application thereof, wherein the oxygen-doped cobalt-iron sulfide composite material comprises: a conductive substrate and an oxygen-doped cobalt-iron sulfide grown on the conductive substrate. The conductive substrate can be directly used as an electrode while increasing the conductivity of the material, facilitating the electrocatalytic hydrogen evolution reaction of the catalyst; the introduction of the Fe element causes the electron transfer of Co to Fe, regulates the electronic structure of CoS2, improves the conductivity of the catalyst, the further doping of O causes the electron redistribution, increases the electron density of S, promotes the adsorption of H at the S site, and significantly reduces the S site of the catalyst H* , thereby reducing the energy barrier of HER and accelerating the hydrogen evolution reaction. Tests prove that the oxygen-doped cobalt-iron sulfide composite material has excellent HER catalytic activity and persistent electrochemical stability.