18results about How to "Fast simulation" patented technology

The invention discloses a static model of a SiC MOSFET device based on physical characteristics, including the drain current I. d Model, channel voltage drop V ds Model, gate-source effective voltage V gs The model and the model of the inversion layer channel carrier mobility μ. The drain current I d The model is an improvement on the standard long-channel device model, characterized by the representation of physical processes such as channel modulation effect and depletion layer bulk charge effect; the gate-source effective voltage model introduces the gate-source effective voltage V. gs The interface state trap is characterized by an asymptotic function as a function of the external gate-source voltage V. GS The process by which charge carriers gradually fill the space between the MOSFET and the charge carriers. This model is highly versatile and has good characterization effects on different types of SiC MOSFET devices. The model has high accuracy, and the model parameters all have certain physical meanings, which is conducive to further research based on this model. At the same time, the model is compact, the simulation speed is fast, and it is suitable for circuit simulation.

The application relates to the technical field of ship testing, and is a kind of roll-on / roll-off ship automobile walking test top gap measuring method based on an adjustable model, key control points for top gap measurement are determined; real vehicle size data of various target vehicle types are acquired, and the key control point coordinates are the intersection points of the highest points of the vehicle roofs and the front and rear end surfaces; an adjustable frame type model is made; the height, the wheelbase and the key control point size of the model are adjusted according to the target vehicle type data, and the simulation of multiple vehicle types is realized; the model is moved to a measuring position for measurement; when the vehicle type is replaced, the above steps are repeated, and the continuous measurement of multiple vehicle types is realized by adjusting the model parameters. The roll-on / roll-off ship automobile walking test top gap measuring method disclosed by the application replaces different vehicle types required to be used at different positions during the test by the manufacturing and use of the adjustable model, simplifies the test operation and improves the test efficiency under the premise of ensuring the reliability of the test data.

The invention discloses a reservoir acidification simulation method for an oil reservoir scale, and relates to the technical field of oil-gas field development. According to the method, an acid rock reaction flow system of a reservoir is decoupled into a three-dimensional matrix continuous domain and a one-dimensional discrete wormhole topology network, and a pressure and flow coupling equation, an acid liquid transmission and reaction equation and a geometrical morphology evolution equation are constructed for reservoir acidification simulation; carrying out fully implicit simultaneous solution on the three-dimensional matrix continuous domain and the pressure field of the one-dimensional discrete wormhole topology network, obtaining fluid pressure distribution in the reservoir, determining the volume flow rate and the flow direction in the one-dimensional discrete wormhole topology network, constructing a directed acyclic graph, and calculating the volume flow rate and the flow direction of the reservoir. Executing topological sorting to generate a downstream calculation sequence, calculating to obtain an acid liquor concentration field in the one-dimensional discrete wormhole topological network, combining a geometrical morphology evolution equation, explicitly updating geometrical parameters of the one-dimensional discrete wormhole topological network, and generating new tip nodes and new wormhole pipe sections by utilizing geometrical topology updating until the tip nodes break through a production boundary, and obtaining a simulation result of reservoir acidification.

The present application relates to the technical field of communication simulation, in particular to a kind of MIMO molecular communication system modeling simulation method, device, system and storage medium, based on the diffusion-cylinder flow-diffusion environment induced diffusion-cylinder flow-diffusion environment induced diffusion-laminar coupling effect, the actual receiver mechanism that fits biological system is built, the binding process of a variety of information molecules to compete for limited receptor can be dynamically simulated, the number of receptor and various information molecules of the receiver is effectively quantified Binding quantity situation, so as to convert ideal concentration signal into receptor occupancy signal, the accurate, fast simulation of the communication performance of MIMO molecular communication system is realized, and the basis for the co-channel interference evaluation of MIMO molecular communication system is provided.

This invention proposes a rapid simulation method for the motion of an aircraft under cable constraint. The cable constraint model is transformed into distance constraints and constraint forces on the aircraft. Due to the mechanical property of the cable being under tension but not compression, the constraint force exists only in the direction of cable extension. Based on the cable constraint model, the constrained aircraft is dynamically modeled to obtain its dynamic equations. As the cable length changes, the position and attitude of the constrained aircraft are updated under the influence of cable driving force, aerodynamic force, and aerodynamic torque. Based on the updated position and attitude, the unsteady aerodynamic force and aerodynamic torque of the constrained aircraft are calculated. This process is repeated until the aircraft is successfully recovered under cable constraint. This method eliminates the need to establish a specific flexible body model of the cable, overcoming the drawback of existing technologies that require complex experiments to determine the nonlinear parameters of the cable. Furthermore, it can be used to calculate multiple motion states, including cable release, recovery, and towing.

The present application belongs to the technical field of hydraulic engineering, and discloses a plain reservoir dam-break simulation method with adaptive breach location, aiming to solve the problems of low modeling efficiency, large human error and poor model reusability of the traditional dam-break simulation method when the breach location of the plain reservoir is uncertain. Through the "predefined adaptive boundary + automatic matching" mechanism, the present application decouples the breach location and the grid division, shortens the single scene switching to the minute level, eliminates human operation errors, supports the dam-break simulation at any location, greatly improves the efficiency, reliability and flexibility of the plain reservoir dam-break risk analysis, and provides strong technical support for flood control and disaster reduction emergency decision-making.

The invention provides a power transmission line audible noise simulation method based on machine learning and PINN, and the method comprises the steps: training a machine learning model through employing a first data set, and obtaining a first prediction model; according to the set environment characteristics, using a first prediction model to predict and obtain a plurality of audible noises; using a plurality of audible noises as boundary condition loss, using an acoustic propagation equation as physical loss, and training a PINN model to obtain a second prediction model; and using the second prediction model to predict the audible noise under the space coordinates of the power transmission line, and rendering according to the numerical value of the audible noise under the space coordinates of the power transmission line to obtain a simulation result of the audible noise of the power transmission line. Compared with the prior art that it is difficult to achieve transmission line audible noise simulation under the complex meteorological environment condition quickly and accurately with low calculation overhead, the method has the advantages that audible noise simulation capable of responding to the complex meteorological environment is achieved, and it is guaranteed that the simulation process is quick, accurate and low in calculation overhead.

A segmented modeling and simulation method for quantum well semiconductor optical amplifiers based on spatiotemporally staggered half-step partitioning is proposed. The method includes extracting and preprocessing parameter data of the quantum well semiconductor optical amplifier device and the quantum well electro-optic gain material; and performing stepwise segmentation of the optical amplification direction of the active region of the quantum well semiconductor optical amplifier using spatiotemporally staggered half-step partitioning. This method constructs a high-speed and efficient simulation design through novel spatiotemporally staggered half-step partitioning modeling and calculation, which can improve the efficiency of large-signal time-domain simulation calculation of devices such as quantum well semiconductor optical amplifiers and quantum well semiconductor lasers and reduce the time consumption of optimization design.

The present application provides a complex model combining a humanized in situ liver cancer nude mouse and a KRAS G12D nude plasmid transgene, which can quickly reach 100% tumorigenesis in 7 weeks from modeling, and presents histological features similar to human clinical hepatocellular carcinoma, is suitable for a complex model for new drug research and development in the fields of precise treatment of liver cancer, PROTAC targeted protein degradation agents, small molecule drugs, small nucleic acid drugs and gene therapy, and can achieve efficient and economical modeling of human hepatocarcinogenic gene-induced liver cancer humanized mice.

The invention relates to the technical field of biological medicine, and discloses a multi-modal data analysis method for drug screening safety evaluation. By setting experiment duration and sampling intervals, multi-modal data such as genes and metabolites are collected from a drug treatment group and a control group at multiple time points, dimension standardization is performed on the two groups of data based on statistical characteristics of the control group, a comprehensive state vector is constructed, state changes of adjacent time points are utilized to form a discrete time differential component and a state evolution function, and a state evolution function is established. The method comprises the following steps: generating two groups of theoretical trajectories through initial state iteration, comparing the theoretical trajectories with actual observation at each time point to evaluate a multi-dimensional error, performing double accumulation in time and state dimensions to obtain a toxicity index of a drug treatment group and a baseline toxicity index of a control group, and calculating a dimensionless safety score for drug grading according to the relationship between the toxicity index and the baseline toxicity index. Therefore, the limitation of dependence on a single index or a single time point is overcome, and the multi-modal data fusion and full-cycle toxicity quantification capabilities are improved.

This invention relates to a method for building transistor models based on artificial neural networks. The method involves: acquiring the transistor process type; building an initial transistor model based on the process type, the initial model including multiple ports; applying DC voltage input signals to each port of the initial transistor model and extracting the DC current output signals from each port; and fitting the DC voltage input signals and DC current output signals to a preset artificial neural network to obtain a DC transistor model. This invention uses artificial neural networks to capture the relationship between the input and output (current and voltage) of the transistor model. The model simultaneously considers both DC and AC signals. It enables high-precision modeling of transistors and significantly improves simulation accuracy while maintaining a fast simulation speed.

The application provides a simulation method for dynamic characteristics of a new energy power grid, and belongs to the technical field of new energy power grids, and comprises the following steps: connecting according to an actual topological structure of the new energy power grid to form a new energy power grid model; distributing to different CPU simulation cores for simulation; enabling an adaptive step algorithm to adjust a simulation step in real time according to state changes of the CPU simulation cores, and sequentially obtaining dynamic characteristics of corresponding sub-models after each adjustment of the simulation step; using a Kalman filtering algorithm to pre-process actual power grid operation data to obtain a parameter estimation set of each power grid unit under the new energy power grid model; analyzing dynamic characteristics of corresponding sub-models according to all parameter estimation sets under each sub-model, and determining a regulation and control strategy according to a power grid operation control target. The application provides a reliable basis for power grid planning and operation control, and guarantees safe and stable operation of the power grid.

The invention discloses a turbulent flow field prediction method based on multi-scale space-time convolution and physical constraint deep fusion, and the method comprises the following steps: carrying out the fine processing and feature extraction of turbulent flow data: carrying out the space cutting and differential downsampling of an original turbulent flow data set, and forming a regular input data set on the premise of keeping a key flow structure; according to the multi-scale space-time convolution network architecture design, an encoder, a multi-scale pyramid feature extraction module, a space-time attention module and a decoder are included, and large, middle and small parallel convolution paths are adopted to capture vortex structures of different scales in a turbulent flow field. And in combination with Softmax normalization, contribution proportions of vortex structures with different scales are automatically adjusted, and the characterization capability of a complex turbulence structure is improved. Mathematical embedding of the law of conservation of physics: hard constraint and soft constraint are included, divergence constraint loss and boundary condition loss are introduced, it is ensured that the predicted flow field meets the law of conservation of mass and conservation of momentum, and a result violating the law of physics is avoided.

The embodiment of the application discloses a kind of graphic processor performance simulation method and simulation system, it is related to integrated circuit technical field, for both can guarantee the accuracy of multiple grain performance simulation of graphic processor to some extent, can also improve performance simulation speed, to shorten the verification period and invent. Graphic processor includes the first type of grain for the hardware model based on hardware description language implementation, the second type of grain is the software model based on software establishment, interconnection grain is the hardware model based on hardware description language implementation or the software model based on software establishment;The method comprises loading the first type of grain to hardware simulation platform, and performance simulation is carried out on hardware simulation platform based on first simulation data;Second type of grain is loaded to software simulation platform, and second type of grain obtains second simulation data from interconnection grain, and performance simulation is carried out on software simulation platform based on second simulation data.The application is applicable to the simulation of multiple grain graphic processor.

This invention provides a control method for a battery simulator based on multi-sampling control technology, belonging to the field of current loop control delay in PWM rectifier circuits. The control method includes single sampling of voltage and multiple sampling of current within a switching cycle. The sampled AC voltage and current are then transformed using Clark-Park transform to obtain the dq-axis voltage and current components. A PI controller is used to reduce the errors in the dq-axis voltage and current components, yielding the dq component of the phase voltage reference value. Finally, a modulation signal is obtained through inverse Clark-Park transform. This invention addresses the dynamic characteristics of high-order battery equivalent circuits by reducing the control delay of the current loop, thereby improving the speed of current dynamic response and achieving more accurate tracking and simulation of the high-order dynamic characteristics of battery equivalent circuits.

The application discloses an aircraft simulation flight guiding calculation method, and specifically comprises the following steps: initializing an FGCS system according to performance parameters of an aircraft and a flight plan; receiving and executing instruction information of a control unit; obtaining and executing instruction information of different stages issued by the control unit according to different stages of the aircraft; updating a time driving frame; obtaining a time difference deltaTime between two frames through time frame driving, and then calculating and outputting effective flight parameters to guide the aircraft to fly according to a current flight state of the aircraft; stopping; and clearing a cache of the FGCS system and logging off. The application provides a feasible scheme for simulating aircraft flight by providing the aircraft simulation flight guiding calculation method.

The application discloses a method and device for modeling and simulating atmospheric background radiation of space optical detection, and belongs to the field of optical simulation. The method comprises the following steps: determining whether a detection scene is a cloudy scene according to whether a cloud layer exists in the detection scene; if yes, generating a target three-dimensional cloud field by using a particle system; establishing a first lookup table of radiation brightness of a clear sky scene with respect to a detector height and a pixel line-of-sight zenith angle and a second lookup table of radiation brightness and transmittance of each segmented path of a cloudy scene with respect to the detector height and a detection line-of-sight zenith angle according to initial environment parameters; determining space data in all pixel data obtained by detection according to periodic height and view direction geometric information of the detector; and determining radiation brightness values for generating a front radiation brightness image according to the space data and the lookup table of the corresponding scene. The application can realize complex space optical visual simulation.

The invention discloses a lumped model-based rapid modeling method for a quantum well semiconductor optical amplifier. The method comprises the following steps of: S1, extracting parameter data; s2, constructing a lumped model; s3, performing numerical simulation calculation; s4, extracting design parameters; and S5, system-level simulation optimization is carried out. Compared with an existing space-time two-dimensional device model, the lumped model-based rapid modeling method for the quantum well semiconductor optical amplifier has the advantages that original two-dimensional space-time solution is simplified into one-dimensional time solution by integrating a space propagation equation and combining reasonable approximation, so that the calculation efficiency is improved in an order of magnitude manner, and the modeling precision is improved. The time domain simulation speed of the quantum well semiconductor optical amplifier can be obviously improved, and the calculation time consumption of device and system joint debugging in the parameter extraction and optimization design process is effectively shortened.