7 results about "Random structure" patented technology

The invention relates to the technical field of high-entropy alloy model construction. The invention provides a simulation modeling method, system and equipment for a high-entropy alloy coating interface and a storage medium. The method comprises the following steps: determining element types, contents and basic structures of a high-entropy alloy system according to application requirements; a special quasi-random structure file is generated by adopting a Monte Carlo simulated annealing algorithm, and a surface model is constructed through format conversion and crystal face cutting; specific atom pairs needing to be preferentially considered are recognized based on the atomic radius and the enthalpy formation criterion, and a surface structure model containing the specific atom pairs is constructed by exchanging the positions of surface atoms and block atoms; constructing a matrix surface model according to the actual matrix material parameters; the two are combined, and coordinates are calculated by setting interface spacing and layer number parameters so as to construct a coating interface model. The problem that in existing numerical simulation of the high-entropy alloy coating interface, a microstructure model cannot be accurately established due to the fact that specific atoms are difficult to recognize and position is solved.

The application discloses a nonlinear random structure dynamic reliability calculation method, and belongs to the field of structure health monitoring, comprising the following steps: collecting structure dynamic response data, and extracting high-order component signals of the structure dynamic response; correcting a random structure nonlinear model of an actual structure, and determining the probability distribution of the random structure nonlinear model parameters; applying external excitation load to the random structure nonlinear model, establishing a nonlinear random structure dynamic response state equation, and obtaining a probability density evolution equation; applying an absorbing boundary condition to the structure dynamic response according to a first exceeding failure criterion, combining a finite difference method and a nonlinear time-history integration method, obtaining the structure dynamic reliability changing with time under the dynamic load, and realizing the quantification of the reliability evolution process of the actual structure under the external load, avoiding the response assumption in the traditional reliability calculation process, and improving the calculation precision of the structure reliability.

The invention discloses a storage implementation method of a convolutional LDPC decoder without read-write conflicts, and belongs to the technical field of channel coding and decoding. In the prior art, a register-based scheme causes huge resource consumption due to network switching; memory-based schemes are faced with severe memory access conflicts. According to the method, a matrix-hardware collaborative design is adopted, a series of non-zero element position constraints are added in a random construction algorithm to generate a check matrix, and a parallel access process of a non-switched network is executed based on the matrix. In the process, during reading, an invalid path reads a default address to avoid using a read selection network; during writing, write enabling is controlled to avoid using a write routing network; and cross-level transmission conflicts are solved under a unified storage architecture through combinational logic. On the premise of ensuring high throughput and excellent error correction performance, storage access conflicts and a complex data exchange network are solved from the architecture level, and hardware resource consumption is remarkably reduced.

The invention discloses a method for designing medium / high-entropy carbide in ultrahigh-temperature ceramic for a multi-index screening hot-end component, and belongs to the field of ultrahigh-temperature ceramic materials. The method is based on first principle high-throughput calculation and comprises the following steps: firstly, constructing a unary carbide model, performing disordered doping by adopting mcsqs codes in an ATAT toolkit to establish a quasi-random structure model, and then obtaining an elastic constant through a structural relaxation and energy-strain method; further, multi-dimensional performance indexes such as mechanical stability, Young modulus, hardness and fracture toughness of the material are calculated and evaluated, and finally candidate components with excellent comprehensive performance are quickly locked through a multi-stage collaborative screening process. According to the method, material preliminary screening is converted into efficient virtual calculation from traditional time-consuming experiment'trial and error ', the research and development cost is remarkably reduced, the research and development period is remarkably shortened, and reliable prediction and guidance are provided for high-performance ceramic material design facing the extreme environment.

The application discloses a kind of based on task driving and feature joint optimization's metasurface structure design method.The method constructs the binary metasurface physical model consisting of K encoding area;Utilize deep learning network to extract K target spectrum vector group from target spectrum data set, as the optimization reference of each encoding channel;With the average value of the cosine similarity between each channel simulation response vector and corresponding target vector (task matching item) and the average value of multichannel spectrum response standard deviation (orthogonality item) constitute joint fitness function;Global iterative optimization is carried out to the 0 / 1 binary sub-pixel space distribution of each channel using genetic algorithm, to realize end-to-end task-driven reverse design.The application directly anchors the target spectrum obtained by dataset learning as the driving index of physical structure optimization for the first time, and the average standard deviation of the optimized multichannel is significantly better than that of the random structure, which can effectively improve the accuracy of the rear-end spectrum reconstruction.

The invention discloses a randomly configured afforestation method and system for forest stand vertical fault restoration. The afforestation method comprises the following steps: constructing a random complementary planting structure unit; the forest windows are graded according to the area scale, and different numbers of random complementary planting structure units are supplemented in a random configuration mode; selecting nursery stocks to be subjected to complementary planting; standardizing seedling planting and management; reasonably selecting complementary planting tree species of the random complementary planting structure units; the planting and afforestation time is stipulated. According to the method, dumbbell-shaped and torch-shaped configuration units are constructed, the forest windows with different areas and scales are graded, and different numbers of random complementary planting structure units are supplemented by adopting a random configuration mode, so that the stability and ecological diversity of the forest are remarkably improved. By simulating a random structure of a natural forest and constructing a random structural body, a long-acting and stable microenvironment is provided for the forest, the overall health and stability of the forest stand are maintained, the natural succession of the forest structure is accelerated, and rapid formation of a multi-tree mixed forest is promoted.

The application discloses a kind of flip-chip type superconducting quantum chip anti-radiation optimized geometric structure design method, including the design bit structure's set of optimizable parameters, the multi-objective cost function model of specific frequency impedance etc.;Through the iterative optimization of multi-objective cost function model to the reverse design algorithm, output the optimal parameter set of bit structure.The application scheme is optimized to the bit structure parameter of superconducting quantum chip in flip-chip structure, by defining the set of optimizable parameters containing random structure parameters, the cost function with the minimum value of specific frequency impedance as the target is established, and the parameter iterative optimization is carried out.This method can effectively reduce the impedance mismatch of quantum bit under radiation environment through active anti-radiation design, reduce the influence of quasi-particle defects on bit, and enhance the anti-interference ability and calculation stability of superconducting quantum chip.