177 results about "First principle" patented technology

An apparatus and method is disclosed for detecting, identifying, and classifying faults occurring in sensors measuring a process. A variety of process models can be used such as first principles models, dynamic multivariable predictive control models, from data using statistical methods such as partial least squares (PLS) or principal component analysis. If faults are identified in one or more sensors, the apparatus and method provide replacement values for the faulty sensors so that any process controllers and process monitoring systems that use these sensors can remain in operation during the fault period. The identification of faulty sensors is achieved through the use of a set of structured residual transforms that are uniquely designed to be insensitive to specific subsets of sensors, while being maximally sensitive to sensors not in the subset. Identified faults are classified into one of the types Complete Failure, Bias, Drift, Precision Loss, or Unknown.

A system and method for performing modeling, prediction, optimization, and control, including an enterprise wide framework for constructing modeling, optimization, and control solutions. The framework includes a plurality of base classes that may be used to create primitive software objects. These objects may then be combined to create optimization and/or control solutions. The distributed event-driven component architecture allows much greater flexibility and power in creating, deploying, and modifying modeling, optimization and control solutions. The system also includes various techniques for performing improved modeling, optimization, and control, as well as improved scheduling and control. For example, the system may include a combination of batch and continuous processing frameworks, and a unified hybrid modeling framework which allows encapsulation and composition of different model types, such as first principles models and empirical models. The system further includes an integrated process scheduling solution referred to as process coordinator that seamlessly incorporates the capabilities of advanced control and execution into a real time event triggered optimal scheduling solution.

A method, system, and computer readable medium for facilitating a process performed by a semiconductor processing tool. The method includes inputting data relating to a process performed by the semiconductor processing tool, and inputting a first principles physical model relating to the semiconductor processing tool. First principles simulation is performed using the input data and the physical model to provide a virtual sensor measurement relating to the process performed by the semiconductor processing tool, and the virtual sensor measurement is used to facilitate the process performed by the semiconductor processing tool.

A method is provided, the method comprising measuring at least one parameter characteristic of rapid thermal processing performed on a workpiece in a rapid thermal processing step, and modeling the at least one characteristic parameter measured using a first-principles radiation model. The method also comprises applying the first-principles radiation model to modify the rapid thermal processing performed in the rapid thermal processing step.

The invention provides a multi-scale multiphysics coupling simulation method of metal additive manufacturing. The method comprises the following steps: S1, establishing a metal additive manufacturing technology data model; S2, carrying out first-principles calculation by calculation software on a microscale through first principles to acquire micro physical properties of additive metal material; S3, establishing an NxNxN super-cell model of the additive metal material, and carrying out molecular dynamics simulation calculation through molecular dynamics simulation software; S4, studying plasma, which is generated in a melting process of metal powder heated by an electron beam or a laser, on a mesoscale; S5, utilizing a flow-heat-solid-magnet multiphysics coupling simulation platform for simulation calculation; and S6, establishing a technology parameter feedback control model for different types and distribution situations of defects, and optimizing metal additive manufacturing technology parameters. The method forms a macro-micro-integration metal additive manufacturing product quality prediction system by means of multi-scale multiphysics coupling simulation.

The present invention is directed to computer-based methods and system to perform root-cause analysis on an industrial process. The methods and system load process data for an industrial process from a historian database and build a hybrid first-principles and inferential model. The methods and system then executes the hybrid model to generate KPIs for the industrial process using the loaded process variables. The methods and system then selects a subset of the KPIs to represent an event occurring in the industrial process, and divides the data for the subset into multiple subset of time series. The system and methods select time intervals from the time series based on the data variability in the selected time intervals and perform a cross-correlation between the loaded process variables and the selected time interval, resulting in a cross-correlation score for each loaded process variable. The methods and system then select precursor candidates from the loaded process variables based on the cross-correlation scores and execute a parametric model for performing quantitative analysis of the selected precursor candidates, resulting in a strength of correlation score for each precursor candidate. The methods and system select root-cause variables from the selected precursor candidates based on the strength of correlation scores for analyzing the root-cause of the event.

A dual-polarized patch antenna, an dual-polarized patch antenna array, and a method for forming the same are provided. The dual-polarized patch antenna comprises a radome, a horizontal feed and a vertical feed, a first cross-shaped patch, and a ground plane including a cross aperture. The dual-polarized patch antenna may include a cross patch and a cross aperture to increase the isolation in a cross-polarization between a horizontal polarized signal and a vertical polarized signal in a first principle plane and to decrease a mismatch in co-polarizations between the horizontal polarized signal and the vertical polarized signal in a second principle plane.

A method, system and computer readable medium for controlling a process performed by a semiconductor processing tool includes inputting data relating to a process performed by the semiconductor processing tool, and inputting a first principles physical model relating to the semiconductor processing tool. First principles simulation is then performed using the input data and the physical model to provide a first principles simulation result, and the first principles simulation result is used to control the process performed by the semiconductor processing tool.

A first principles model may be used to simulate a batch process, and the first principles model may be used to configure a multiple-input/multiple-output control routine for controlling the batch process. The first principles model may generate estimates of batch parameters that cannot, or are not, measured during operation of the actual batch process. An example of such a parameter may be a rate of change of a component (e.g., a production rate, a cell growth rate, etc.) of the batch process. The first principles model and the configured multiple-input/multiple-output control routine may be used to facilitate control of the batch process.

A method, system and computer readable medium for analyzing a process performed by a semiconductor processing tool. The method includes inputting data relating to a process performed by the semiconductor processing tool, and inputting a first principles physical model relating to the semiconductor processing tool. First principles simulation is performed using the input data and the physical model to provide a first principles simulation result; and the first principles simulation result is used to determine a fault in the process performed by the semiconductor processing tool.

A method, system and computer readable medium for facilitating a process performed by a semiconductor processing tool. The method includes inputting data relating to a process performed by the semiconductor processing tool, and inputting a first principles physical model relating to the semiconductor processing tool. First principles simulation is then performed using the input data and the physical model to provide a simulation result for the process performed by the semiconductor processing tool, and the simulation result is used as part of a data set that characterizes the process performed by the semiconductor processing tool.

Methods for forming calibration standards for an inspection system and calibration standards are provided. One method includes scanning a first and a second specimen with an optical system. Master standard particles having a lateral dimension traceable to a national or international authority or first principles measurements are deposited on the first specimen. Product standard particles are deposited on the second specimen. In addition, the method includes determining a lateral dimension of the product standard particles by comparing data generated by scanning the two specimens. One calibration standard includes particles having a lateral dimension of less than about 100 nm deposited on a specimen. A distribution of the lateral dimension has a full width at half maximum of less than about 3%. The uncertainty of the lateral dimension is less than about 2%. Therefore, the standard meets the requirements for the 130 nm technology generation of semiconductor devices.

A method for creating a linear programming (LP) model of an industrial process facility is disclosed. The model may be used for interactively simulating and/or optimizing the operation of the facility to facilitate feedstock selection and/or other economic analyses. According to the inventive method, a first principles reference tool is used to create a non-linear reference model of the entire facility. Then, independent input variables and key output variables are specified, and initial values for the independent input variables are specified. Base case values for each key output variable are determined by running the non-linear reference model using the specified initial values for the independent input variables. Next, partial derivatives for each key output variable with respect to each independent input variable are determined. A matrix is constructed containing the base case values and partial derivatives. The matrix serves as the depiction of the industrial process facility in the final LP, which may also include prices, availabilities, and other external constraints.

A USB terminal having a conductor layer to be an input/output terminal of a USB connector is formed on a first principle surface of a circuit board. A memory element is mounted on a second principle surface at an opposite side of a terminal forming surface of the circuit board, and the memory element is sealed with a sealing resin. A semiconductor memory device as a USB memory main body is constituted by them. A USB memory is constituted by housing the USB memory main body inside of a USB connector case.

An electronic component includes a substrate, first electronic components mounted on a first principle surface of the substrate, a first resin layer that covers the first principal surface of the substrate and the first electronic components, a second electronic component mounted on a second principle surface of the substrate, a second resin layer that covers the second principal surface of the substrate and the second electronic component, an electrically conductive shield layer, and a ground electrode arranged in the substrate so as to reach a side surface of the substrate. The shield layer is a single continuous layer that covers the first resin layer, the side surface of the substrate, and a portion of the second resin layer adjacent to the substrate. The shield layer is in contact with and electrically connected to the ground electrode.

A method of designing and modifying electrode materials for a battery device is disclosed in this invention. The method includes constructing a first principle model for battery electrode material properties estimation and screening. The method also includes applying a structural and compositional modification on the first principle model. In some embodiments, the method includes developing a hybrid physical model to estimate the battery cell cycling behavior with the calculated and experimental parameters. The method and the simulation models have the advantage that both atomic level and physical structure will be considered for the battery electrode and its modified derivatives with small compositional or structural changes. Therefore, both the time consumption and accuracy for battery electrode material designing and modification for specific application requirements can be improved.

An electronic circuit module with a built-in antenna (1) includes the following elements: a mounting module having a wiring board (2), a passive component, and a semiconductor device; a resin sheet substrate (11) having an antenna pattern (12) formed on a first principle surface of a base thereof; and a magnetic layer interposed between the mounting module and the resin sheet substrate (11). These elements are housed in a case (16).

A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.

Methods are provided for measuring isotropic scattering coefficients of suspensions using multiply scattered radiation that is modulated in amplitude at selected modulation frequencies. The radiation may be light. Quantities describing diffusion of the multiply scattered radiation are preferably measured at a plurality of distances between source and receiver and a plurality of frequencies. Linear regression techniques are provided for maximizing accuracy of the scattering data at a selected wavelength of a radiation. Methods are provided for inversing an integral equation so as to determine a calculated value of scattering coefficient. Parameters are varied to minimize the difference between the calculated and measured scattering coefficients and thereby to determine volume fraction, particle size distribution and interparticle force between the particles in a suspension. By incorporating a first principles model to account for interparticle force, the measurements can be used to determine a parameter governing interparticle forces in a suspension. The suspension may be in a liquid or a gas.

The invention extends classical time-invariant optical design to include optical amplitude modulated light, using tools from communications theory. Effects of dispersion are derived from first principles.

Modeling and simulation of free and forced structural vibrations is essential to an overall structural health monitoring capability. In the various embodiments, a first principles finite-difference approach is adopted in modeling a structural subsystem such as a mechanical gear by solving elastodynamic equations in generalized curvilinear coordinates. Such a capability to generate a dynamic structural response is widely applicable in a variety of structural health monitoring systems. This capability (1) will lead to an understanding of the dynamic behavior of a structural system and hence its improved design, (2) will generate a sufficiently large space of normal and damage solutions that can be used by machine learning algorithms to detect anomalous system behavior and achieve a system design optimization and (3) will lead to an optimal sensor placement strategy, based on the identification of local stress maxima all over the domain.