275 results about "Experimental methods" patented technology

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

Provided herein are methods and systems for a computer implemented method for designing and optimizing a fabrication process characterized by one or more process parameters. The outcome of the fabrication process is characterized by a quality metric used to optimize the fabrication process. The method uses a classification model in conjunction with a regression model, both using artificial intelligence and trained using experimental results, to iteratively recommend process parameter values for performing real world fabrication experiments. The experimental results are used to continuously train the models. The outcome is a set of process parameters that yield an optimal fabrication process with less time and effort than using conventional design of experiment methods.

According to the intelligent training method, the prediction method, the equipment and the medium for the pharmacokinetic properties of the polypeptide drugs, based on the prediction model obtained through training, the pharmacokinetic properties of at least two polypeptide drugs can be predicted, and compared with a traditional experiment method, the intelligent training method has the advantages of being efficient, accurate and comprehensive in effect and high in practicability. And the comprehensive systematic prediction platform can promote the unification of model data standards developed by different research teams, and effectively ensures the actual value of the polypeptide drug in early screening and optimization.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention relates to the technical field of geological disaster model tests, in particular to a physical model experiment device and method for a down-dip or counter-dip rock landslide, and the physical model experiment device comprises a landslide simulation system, an electric lifting system and a thrust loading system. The landslide simulation system is used for simulating the pouring of a landslide body and the instability failure process of the landslide body; the electric lifting system is used for changing the height of the free end of the sliding surface frame in the landslide simulation system to form an angle required in the test process; the thrust loading system is used for simulating the thrust of the rear edge of the slope body in the test process, so that the poured slope body is subjected to instability damage under the action of the thrust; through cooperation of the three systems, the test processes of model pouring, landslide thrust simulation and the like of a sample are achieved, the device integrates slope body pouring and landslide simulation tests, and the experimental simulation reliability is high. The problems of slope disturbance and slope simulation accuracy in the existing landslide simulation test process are solved.

The invention discloses a simulation experiment method for the sound insulation performance of an acoustic metamaterial, and the method comprises the steps: collecting the working environment data and material data of a preset material, and carrying out the preprocessing of the working data and the material data; performing simulation according to the environment data and the material data by adopting a finite element method to obtain a simulation material, and performing grid division on the simulation material to obtain divided grids; performing optimization division on the division grids according to a density threshold value to obtain key division grids, and performing multi-band verification improvement according to the key division grids to obtain performance skewness; and constructing a simulation experiment model of the sound insulation performance of the metamaterial according to the performance skewness, optimizing the simulation experiment model of the sound insulation performance of the metamaterial according to the simulation error, and outputting a simulation model. The method not only can improve the precision of the simulation experiment of the sound insulation performance of the acoustic metamaterial, but also has good interpretability, and can be directly applied to a simulation experiment system of the sound insulation performance of the acoustic metamaterial.

The invention belongs to the technical field of biological information, and relates to an acetylcholin esterase inhibitor prediction method based on Stacking ensemble learning and molecular feature fusion, which comprises the steps of data collection and preparation, data annotation and optimization, feature extraction and analysis, construction of a Stacking model, result verification and feedback and construction of a prediction platform. The molecular fingerprints and the property descriptors are used as features, and an acetylcholin esterase inhibitor classifier is successfully constructed by adopting a Stacking algorithm. According to the method, the problems that the efficiency of finding the acetylcholin esterase inhibitor by a traditional experimental method is low, and a common quantitative structure-function relationship method is high in complexity and poor in generalization ability can be solved, the new drug finding speed is increased, experimental candidates are accurately positioned, and resource waste is reduced.

The invention discloses a UHPC key tooth dry joint direct shear acoustic emission characteristic test method, and belongs to the technical field of UHPC tests.The UHPC key tooth dry joint direct shear acoustic emission characteristic test method comprises the steps that S1, a UHPC test piece is designed and prepared; s2, building a test system which comprises a loading device, an acoustic emission monitoring device and a displacement and strain monitoring device; s3, the test piece is tested through a test system, and corresponding data are collected; s4, analyzing the data, and revealing a dry joint shear stress behavior and a damage failure mechanism under different parameter settings of the test piece by combining acoustic emission characteristic parameters; the UHPC key tooth dry joint direct shear acoustic emission characteristic test method provided by the invention breaks through the limitation of traditional load-displacement curve, crack observation and other methods, realizes real-time, continuous and multi-stage monitoring, and comprehensively masters the damage evolution dynamics.

The invention relates to a stability margin measuring method based on data driving, which adopts a small gain theorem to ensure the stability of a closed loop of a system and defines the stability margin of the system based on the stability margin. The defined gain margin and the time delay margin can be obtained through a data-driven experimental measurement method. According to the method, a class of gain margins and time-delay margins for the multiple-input multiple-output linear system are established through the small gain theorem, so that the defect that the small gain theorem is only suitable for amplitude margin analysis is overcome. And a frequency sweeping method is established to obtain the gain margin and the time delay margin through an experimental method, so that the uncertainty and unmodeled dynamics in practice can be considered, and the obtained stability margin is closer to the stability margin of an actual system.

The invention relates to an experimental device and an experimental method for researching ultrasonic bubble dynamics, belongs to the technical field of ultrasonic bubble dynamics, and solves the problem that an ultrasonic bubble dynamic process is difficult to comprehensively observe and accurately simulate in a laboratory in the prior art. The experimental device comprises an ultrasonic generator, an experimental water tank and the like, a probe is arranged through a fixing device, and all parts collect data cooperatively. The experimental method comprises the steps of fixing the probe, generating ultrasonic waves and collecting data, moving the probe to repeat the experiment, carrying out numerical simulation, observing the damaged paint coating and the like. According to the method, multi-dimensional data of the bubbles can be comprehensively obtained, theoretical simulation is combined, high-cost testing is avoided, the period is shortened, accuracy and economical efficiency are improved, powerful support is provided for development of related fields of the ultrasonic technology, and understanding of interaction of the ultrasonic bubbles and the solid surface can be deepened from the micro level.

The invention discloses an experimental measurement method for simultaneously measuring dynamic caustic and DIC, and compared with an existing traditional measurement technology, the method for simultaneously measuring the dynamic caustic and the DIC is remarkably improved. In traditional measurement, a single experimental method often has a large error range, and the requirements of high precision and high reliability are difficult to consider. By introducing data fusion of the two systems, the method effectively makes up for the defects of a single measurement technology, and provides more accurate and reliable experimental data. Repeated calculation and fine analysis of each step enable the final measurement result to be greatly optimized, particularly in the measurement of object deformation, fine changes can be better captured, and the influence of external interference is reduced. The novel experimental measurement method not only improves the precision of the experimental result, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of the modern experimental technology.

The invention discloses an equivalent acceleration experiment method for ceramic material ion migration, and belongs to the technical field of ceramic material deterioration experiments. The method comprises the following steps: acquiring a deterioration characteristic quantity of a ceramic material under an actual working condition, simulating conditions under the actual working condition through a ceramic material ion migration deterioration characteristic quantity testing device, further performing a deterioration experiment on the ceramic material, taking out the ceramic material at an interval of 5-10 days, and measuring a performance index of the ceramic material as the deterioration characteristic quantity; performing data analysis on the deterioration characteristic quantity obtained by testing, and selecting the characteristic quantity with a linear relationship between the deterioration characteristic quantity and the deterioration time as a deterioration characteristic index; external conditions are changed, so that the ceramic material reaches the same degradation degree under the actual working condition within 5-15 days, and the experiment acceleration coefficient after the external conditions are changed is calculated according to time. According to the method, the time of an ion migration experiment can be effectively shortened, the external environment conditions of ceramic materials with different morphologies under various working conditions are met, and the obtained characteristic quantity result of ion migration degradation is accurate.

The invention provides an instruction data matching experiment method, system and device and a storage medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: determining each data set participating in the fine tuning of a large model, setting the parameters of a genetic algorithm, and randomly generating an initial population; each individual in the initial population is used for fine tuning training of a large model; evaluating the large model after fine tuning training to obtain a fitness value corresponding to each individual; selecting an individual with the highest fitness value for generating a next-generation population; pairing the selected individuals, and performing crossover operation according to a set crossover probability; performing gene variation on newly generated individuals according to a set variation probability to generate a new generation of population; and replacing the current population with a new generation of population generated through genetic manipulation, repeatedly executing the steps until a set termination condition is reached, and outputting an individual with the highest fitness value in the new generation of population to obtain an optimal matching scheme. The data matching efficiency is improved, and the labor cost is reduced.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a method for determining dissolution kinetics of solute in metallurgical slag based on molecular dynamics simulation, compared with a traditional experimental method, molecular dynamics simulation does not need a large number of thermal state experiments and complex detection modes, and large-scale simulation calculation can be rapidly completed on a computer. And meanwhile, various different conditions can be simulated in a short time, and superior processes and slag systems can be quickly screened out. According to the method, the reaction which is difficult to observe clearly can be visualized, the atomic trajectory behavior of the dissolution behavior, the dynamic change, the dispersion process of the solute and the like are provided, rich and accurate information is provided for research on dissolution kinetics, and the dissolution rule and the structure evolution mechanism of the solute in the high-temperature melt can be revealed. In addition, the method is high in safety, and danger possibly brought by a high-temperature experiment is avoided.

The invention relates to a stratified rock mass tunnel failure mode experiment device and method, and belongs to the field of tunnel engineering experiments.The stratified rock mass tunnel failure mode experiment device comprises a reaction frame, jacks are fixedly arranged on the periphery of the inner side of the reaction frame, and the telescopic ends of the jacks point to the geometric center of the reaction frame and are fixedly provided with reaction steel plates; the layered rock mass test piece is placed between the counter-force steel plates, and a distributed optical fiber sensor is arranged in the layered rock mass test piece; a jacking device is arranged on one side of the counter-force frame, and a high-speed camera is arranged on the other side, opposite to the jacking device, of the counter-force frame. The stratified rock mass damage experiment device has the advantages that the stratified rock mass test piece is placed between the counter-force steel plates, the stratified rock mass test piece is subjected to an extrusion damage experiment through the jacking equipment and the jack, the high-speed camera records, an experimenter can conveniently research the damage law of the stratified rock mass, operation is easy, obtained data are more diversified and more visual, and the experiment efficiency is improved. The mechanical behavior and the failure mode in the whole process of tunnel excavation and failure in the stratified rock mass can be judged in all directions.

The invention relates to a theoretical research method of an ultrafast laser ablation mechanism, which comprises the following steps of: creating a double-temperature model for solving the change of electron and lattice temperatures along with time by adopting a finite difference method; in order to further explain a removal mechanism of a macroscopic material, a fluid mechanics model is established, a solid-liquid interface is tracked by a thermal enthalpy-pore method, a liquid-gas interface is tracked by a level set method, and the influence of backflushing pressure, surface tension, gravity and a Margoney effect on a molten pool is considered; and solving a Navier-Stokes equation set and a level set equation to obtain a solid-liquid-gas three-phase fluid mechanics model. The lattice temperature obtained by the double-temperature model is used as a heat source to be input into the fluid dynamic model, and the process of molten pool flowing and metal steam eruption is obtained. According to the method, the whole femtosecond laser ablation process is simulated by using a simulation method. Compared with an experimental method, on one hand, the time and the cost are greatly saved, and on the other hand, the problem that the temperature change of the femtosecond scale cannot be accurately measured by the current characterization means is also avoided.

The invention relates to the technical field of structural vibration dynamics experiments, in particular to an LDV self-following modal experiment device of a rotating structure and an experiment method.The experiment device comprises a static structure, the rotating structure and a driving structure, and the static structure comprises a laser vibration meter and a slip ring stator; the rotating structure comprises a slip ring rotor, a light transmission shaft, a shaft system, a second reflective mirror, a piezoelectric ceramic piece and a test object, and the light transmission shaft is further provided with a third reflective mirror; the piezoelectric ceramic piece is mounted on a test object; one or more groups of piezoelectric ceramic pieces are used for applying excitation to a test object, and the rest groups of piezoelectric ceramic pieces and the laser vibration meter are used for collecting vibration signals of the test object; the first reflector, the second reflector and the third reflector are used for controlling laser emitted by the laser vibration meter together so that the laser can be focused on a test object, and circumferential adjustment of the focusing position of the laser on the test object can be achieved through the optical axis and the shaft system. According to the LDV self-following modal experimental device and experimental method of the rotating structure, the problem that modal experiments are difficult to carry out on an existing rotating mechanical structure under the rotating working condition is solved.

The invention relates to a sampling algorithm strategy set construction method based on experimental problem feature matching. The method comprises the following steps: acquiring at least one experimental problem feature; according to the at least one experimental problem feature, calculating the number of samples required to be generated by the comprehensive experimental method; and selecting a target sampling algorithm from the sampling algorithm strategy set according to the sample number, and performing experiment arrangement according to the target sampling algorithm. According to the method, a proper sampling algorithm is adopted, an effective experiment design tool is provided, the number of times of simulation experiments can be effectively reduced, efficiency is improved, and analysis of simulation results is allowed to follow.

The invention discloses a material design method, device and equipment based on positive and negative interaction and a medium, and the method comprises the steps: collecting and sorting the formula process, structural characteristics, property indexes, performance expressions and other data of a material, training a positive prediction model through the data, and enabling the data to predict the property of the material according to the formula process parameters; a reverse optimization algorithm is introduced, possible formula process combinations are reversely deduced or generated according to target properties, the performance of the combinations is evaluated through a forward prediction model, and iterative optimization is performed until the target properties are achieved or a preset threshold value is met, so that the problem that a traditional experimental method needs to be subjected to multi-batch design, test inspection and repeated adjustment is solved; the technical problems of time and labor consumption, low efficiency, difficulty in quickly responding to market and application requirements, extremely high calculation cost for multi-factor strong correlation analysis, and difficulty in realizing quantitative, precise and high-efficiency optimization design in the prior art are solved.

The invention discloses an experimental device, a design method and an experimental method for a steel strand vertically impacted by rockfall, and belongs to the field of rockfall vertical impact experiments. Comprising a reaction wall, two supporting frames symmetrically fixed to the same side of the reaction wall, a to-be-tested steel strand fixed between the two supporting frames through an anchorage device, lifting equipment arranged above the to-be-tested steel strand and a monitoring analysis mechanism, the power output end of the lifting equipment is connected with falling rocks, and the falling rocks are aligned to the to-be-tested steel strand; and the monitoring analysis mechanism is used for collecting the change of the to-be-tested steel strand in the vertical impact state of the rockfall and outputting a performance monitoring result. By adopting the experimental device, the design method and the experimental method for vertically impacting the steel strand by the rockfall, the rockfall impact limit parameters can be designed according to the parameters of the steel strand to be tested, so that the performance parameters of the steel strand close to the actual working state can be obtained, and the obtained result is more reliable.

The invention belongs to the technical field of mining similar simulation experiments, and particularly relates to a mining similar simulation experiment modular model laying method. The method mainly comprises the steps of designing a model structure and a module material, preparing a module material required by an experiment, assembling a similar simulation experiment stratum model, withdrawing a research area module to realize experiment simulation excavation, and optimizing module laying design according to an experiment result. According to the method, through standardized and modularized design, the limitation of a traditional experiment method is overcome, rapid building and flexible adjustment are achieved, the experiment efficiency and reliability are improved, and more effective experiment tools and technical supports are provided for research and application of mining engineering.

The invention relates to a microcosmic visual displacement experimental device and experimental method.The microcosmic visual displacement experimental device comprises a reaction kettle, the reaction kettle is connected with a reaction kettle support through a first rotation driving mechanism, a fixing mechanism is arranged in the reaction kettle and used for fixing a rock core clamping mechanism, and a rock core placing area is arranged in the rock core clamping mechanism; a feeding cavity and a discharging cavity are arranged on two sides of the rock core placing area, the feeding cavity is connected with a feeding mechanism, the discharging cavity is connected with a back pressure mechanism and a vacuumizing mechanism, the reaction kettle is further connected with a confining pressure mechanism, a first window is arranged at the top of the reaction kettle, a lighting element is arranged above the first window, and a second window is arranged at the bottom of the reaction kettle. A first prism is arranged below the second window and connected with a first prism support through a second rotation driving mechanism, a second prism support is arranged on one side of the first prism support and connected with a second prism through a third rotation driving mechanism, and a microscope is arranged below the second prism. The experimental result of the experimental device is more accurate.

The invention belongs to the technical field of amorphous alloy dynamic relaxation behavior modeling, and particularly relates to a method for predicting defect concentration of amorphous alloy through dynamic relaxation analysis. A fractional order viscoelastic model is adopted to simulate the dynamic relaxation behavior of the amorphous alloy, model parameters are few, and the defect concentration evolution of the amorphous alloy in the dynamic relaxation process can be reflected; the established fractional order viscoelastic model can be verified through a dynamic relaxation experiment, and the evolution of defect concentration is obtained by fitting the experiment. According to the method, multiple key parameters such as the high-frequency shear modulus, the low-frequency shear modulus and the relaxation time are comprehensively utilized, and quantitative analysis of the complex interaction between the microstructure and the macroscopic performance of the material is achieved. The verification method not only proves the reliability of the model, but also can quantitatively calculate the evolution of the defect concentration. The application of the technology in alloy design and preparation stages provides a new theoretical guidance and experimental method for prediction and evaluation of amorphous alloy performance.

The invention relates to the technical field of laboratory automation, in particular to an intelligent laboratory and an automatic laboratory sample distribution system, and provides the following scheme that dynamic optimization of experimental steps and parameters is achieved by combining experimental equipment control, real-time data analysis, machine learning optimization and automatic experimental method updating. The system can automatically acquire and update experimental method information, provides experimental scheme recommendation and intelligent scheduling experimental equipment by using deep learning and a self-attention mechanism, and adjusts experimental parameters based on real-time feedback, so that the automatic management level of a laboratory is improved, the experimental efficiency is optimized, and human intervention is reduced.

The utility model discloses a device for measuring a surface tension coefficient and an air viscosity coefficient based on bubbles, and mainly solves the problems that the conventional device for measuring the surface tension coefficient and the air viscosity coefficient is mutually independent and the experiment cost is relatively high. The device comprises a buffer, a variable pressure intensity device connected with the buffer, a thin tube assembly, a bubble hole assembly, a barometer, a sealing piece connected with the thin tube assembly, a backlight source arranged on one side of the bubble hole assembly, imaging equipment arranged on the other side of the bubble hole assembly, and image data processing equipment connected with the imaging equipment. Through the design, two simple and independent experiments in the traditional sense are integrated into an experiment with rich content through the bubble which is an interesting bridge and a new experiment method generated by the bubble, the experimental device has reliable theoretical basis and teaching value, the teaching experiment method is expanded, and the experiment efficiency is improved. And students can be guided to carefully research fluid mechanics knowledge behind the bubble phenomenon.

A Hypothesis Generation and Testing System (HGTS) includes a framework for enabling artificial intelligence (AI) systems to autonomously formulate, test, refine, and store hypotheses using structured experimental workflows. HGTS may integrate with, but operates independently from, traditional databases, model repositories, context-aware AI databases and the like to provide a persistent, traceable, and interpretable record of hypothesis lifecycles. The system incorporates a probationary hypothesis database for unverified ideas, a validation engine for controlled experimentation, a confidence scoring and lifecycle management agentic subsystem for hypothesis evaluation, and recursive learning agents that iteratively refine models and experimental methods. Modular agents autonomously propose, test, and document hypotheses using statistical, symbolic, and deep learning techniques. The system ranks outcomes and retains full contextual metadata, enabling reproducible discovery. HGTS thereby provides a foundational mechanism for reproducible, interpretable, and self-directed intelligence, forming a cornerstone technology for artificial general intelligence (AGI).

The invention discloses a test method for hydraulic fracturing of rock in a true triaxial stress state, which is specifically implemented according to the following steps: step 1, processing a rock block into a rock sample, and carrying out trepanning treatment to form a sample model; 2, the sample model is placed on a true triaxial device, an X + pressure head, an X-pressure head, a Y + pressure head, a Y pressure head-, a Z + pressure head and a Z-pressure head of the true triaxial device are adjusted to be consistent in center, and the X + pressure head, the X-pressure head, the Y + pressure head, the Y pressure head-, the Z + pressure head and the Z-pressure head are connected with the water pressure applying pipe fitting; step 3, applying a load to the sample model, and controlling the true triaxial device to respectively apply a preload stage load, a second stage load and a third stage load in X, Y and Z directions by a servo motor; 4, the sample model exerts pulse circulating water pressure while maintaining third-stage load exerting; 5, unloading all loads and pressures of the sample model, and ending the test; the problem that the water pressure applying frequency and magnitude in hydraulic fracturing engineering in the prior art do not conform to the actual working condition of the well bottom is solved.

The invention provides a quantitative water-rock reaction experimental device and experimental method. By adopting the quantitative water-rock reaction experimental device provided by the invention and implementing the quantitative water-rock reaction experimental method provided by the invention, quantitative and qualitative simulation and real-time online monitoring, recording and storage can be carried out on the interreaction process from a deep stratum to surface stratum fluid and surrounding rock; effective means and methods are provided for exploring the deep carbonate reservoir formation mechanism and predicting the deep carbonate reservoir formation mechanism, and the method is suitable for application and popularization.

The invention discloses a test method for disturbing and inducing a lagging type rockburst phenomenon containing a cavern structure. The test method comprises the following steps: selecting homogeneous rocks and processing the homogeneous rocks into a cuboid sample; synchronously loading to an initial crustal stress state in three directions by using a three-direction six-surface loading true triaxial rock burst simulation test system; under the condition that the stresses in the two directions are kept unchanged, continuously increasing the stress in the vertical direction until the sample is damaged, recording the peak intensity, repeating for a plurality of times, and taking an average value as a reference basis for subsequent disturbance loading; on the basis of loading to a set initial stress state, applying a disturbance load with a preset amplitude and frequency, and simulating a hysteresis type rockburst evolution process under disturbance excitation; immediately and synchronously unloading the X-direction stress, the Y-direction stress and the Z-direction stress after rockburst occurs; acoustic emission signals and fracture image information are synchronously collected in the test process. By adopting the technical scheme of the invention, the dynamic response and damage evolution of the rock mass under complex boundary conditions and disturbance effects can be truly represented.

The present invention provides methods and systems for scientific method creation. A method includes: establishing a data storage device including multiple linked data sets, the multiple linked data sets linking predetermined experimental methods, predetermined sample types, and predetermined analyses that define multiple experimental parameters; using the multiple linked data sets stored in the data storage device to train a model; inputting at least one of the group consisting of sample type and desired analysis to the trained model; and outputting a list of one or more recommended methods from the model based on the sample and the at least one of the desired analysis. The method may also include: receiving actual experimental results collected via one or more scientific instructions, which are associated with the execution of methods from the list; determining expected results of the executed methods; and verifying these actual experimental results based on the expected results.