Abstract: The disclosed embodiments include a simulation system that guides, through a user interface, a creation of a set of reduced order models (ROMs) with compatible macros to ensure the creation of a set of computations in the simulation is compatible at execution time. The macros can provide a macro based workflow, where the macros evaluate the ROMs in the workflow. The user interface can restrict the set of macros to those that are compatible with a selected set of ROMs. In one embodiment, the set of ROMs can produce a customizable set of outputs using a user defined sequence of ROMs that are associated with corresponding selected macros to simulate a physical system. The set of ROMs and their compatible macros can be encapsulated into a single unit such as a Functional Mock-Up Unit file.

Abstract: A method and a system of generating a smooth spline surface from a quadrilateral mesh representing a physical object, is described. Edge points are added to the quadrilateral mesh to preserve a feature or a boundary. The edge points are added to an edge of the quadrilateral mesh having one or more irregular nodes representing a feature edge of the physical object and/or the edge points are added to an edge of the quadrilateral mesh extending between the feature edge and an irregular node. Knot interval vectors are extracted for each edge point and used to evaluate an irregular element having the edge points to generate the smooth spline surface. The smooth spline surface is highly continuous and can be displayed to model the physical object, modify a design of the physical object, or used directly in a simulation to evaluate the physical object. Other embodiments are also described and claimed.

Abstract: Circuit design techniques can use a trained predictor to predict key dynamic current metrics (such as peak current, peak time, pulse width and total charge) for a gate in a circuit library, where the predictor has been trained over different combinations of different input transition slews and different output fanout models. A dynamic current model solver can be used for a gate in the cell library to derive waveforms (of current versus time) for the different combinations, and a predictor, such as a neural network, can be trained with the outputs from the solver for the different combinations. The trained predictor can be used in a runtime simulation to solve for the dynamic current demand model of the various gates in a circuit design (such as all of the gates in an integrated circuit).

Abstract: Systems and methods are provided for generating a radar model for a target object. In embodiments, a target simulation model is received that represents one or more physical aspects of a target object, an environment simulation model is received that represents one or more physical aspects of an environment object, and a target distance parameter is received that identifies a reference distance between the target object and a radar system to be simulated. A simulation model is generated based, at least in part, on the target simulation model, the environment simulation model, and the reference distance, and further based on a target aspect angle that identifies an angular position of the target object in relation to the radar system.

Abstract: A method for the simulation of a propagation of electromagnetic beams, in particular light beams, is revealed, comprising the following steps of parametric specification of a first beam relative to a first boundary layer, specification of a first material into which the first beam should propagate after the first boundary layer, and determination of a reflection and/or transmission of the first beam relative to the first boundary layer on the basis of the first material and on the basis of a first model, wherein the first model comprises one or more functions which associate one or more reflection and/or transmission parameters with the first beam, and wherein the reflection and/or transmission parameter(s) associated with the first beam via the functions are determined.

Abstract: A system receives a layout representation of a metasurface, the metasurface including a number of scatterers arranged in a spatial order, each scatterer having one of a number of geometries. The system identifies one or more consecutive ones of the scatterers in the spatial order. The system identifies a sequence representing consecutive ones of the geometries, the sequence being associated with one or more consecutive ones of the scatterers in the spatial order. The system associates a two-dimensional coordinate to the sequence, the two-dimensional coordinate corresponding to a position in the metasurface where the sequence starts. The system generates an output layout file including a reference to the sequence and the associated two-dimensional coordinate.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.

Abstract: A method and apparatus of a device for generating a fusion model for a physical system is described. In an exemplary embodiment, the device receives low-fidelity input data and low-fidelity output data that represent a low-fidelity measurement of a physical system. In addition, the device trains a first model to predict the low-fidelity output data using the low-fidelity input data. Furthermore, the device receives high-fidelity input data and high-fidelity output data that represent a high-fidelity measurement of the physical system. The device additionally invokes the first model with the high-fidelity input data to generate predicted low-fidelity data. The device further trains a second model to predict the high-fidelity output data using the high-fidelity input data augmented with the predicted low-fidelity data.

Abstract: Methods and apparatuses that generate a simulation object for a physical system are described. The simulation object includes a trained computing structure to determine future output data of the physical system in real time. The computing structure is trained with a plurality of input units and one or more output units. The plurality of input units include regular input units to receive input data and output data of the physical system. The output units include one or more regular output units to predict a dynamic rate of change of the input data over a period of time. The input data and output data of the physical system are obtained for training the computing structure. The input data represent a dynamic input excitation to the physical system over the period of time. And the output data represents a dynamic output response of the physical system to the dynamic input excitation over the period of time.

Abstract: A system and method are provided for simulating circuits that transmit bidirectional signals between some ports using simulators designed originally for electrical circuits and systems, that eliminate the need for different port interfaces. The system and method can be applied to simulate photonic circuits either standalone or integrated with electrical circuits and systems. In one method implemented by the system potential and flow representations, available for example in Verilog-A simulators, are used to create bidirectional signals on a single bus line to transmit optical signals. In another method implemented by the system, the system auto-configures each optical port type as left or right at runtime or during a pre-simulation initialization to allow for bidirectional signals with a single port interface.

Abstract: Methods for modeling contact pairs in a model of a physical object include generating a contact pair including a contact surface and a target surface, where the contact pair further includes contact elements of the contact surface and the target surface, splitting the contact pair into contact sub-pairs along splitting boundaries, augmenting each contact sub-pair with contact elements from adjacent contact sub-pairs at the splitting boundaries, distributing the augmented contact sub-pairs to a plurality of parallel processors for finite element solutions of the contact sub-pairs, receiving the finite element solutions of the contact sub-pairs from the plurality of parallel processors, and combining the finite element solutions of the contact sub-pairs into finite element solutions of the contact pair.

Abstract: A mechanical computer-aided design (MCAD) model representing an object is received. The MCAD model contains a surface with a face defined therein. Deformation of the face is obtained in a simulation based on the MCAD model. The surface is defined by Non-Uniform Rational Basis Spline patches and mapped to a two-dimensional (2-D) parametric grid. The 2-D grid contains a first group of grid points representing the face and a second group of grid points representing outside of the face. The deformation of the face is applied to the first group of grid points. The deformation is extrapolated to the second group of grid points. An updated MCAD model representing a deformed object is generated using the 2-D grid associated with the applied deformation and the extrapolated deformation.

Abstract: A method is disclosed for augmenting the SBR model used in EM field simulation by modeling the specular coherent and diffuse incoherent components of the field scattered by rough surfaces using statistical characteristics of surface roughness. For each projected ray-tube footprint, the magnitude of the coherent radiated field is attenuated with a scalar factor, while the incoherent radiated field is modulated by a random magnitude and phase. Both corrections are based on the statistical characteristics of surface roughness. Multiplying the incoherent field with a randomly generated phase renders it in a mathematically coherent form, which allows the method to generate a statistically viable instance of the total (i.e. coherent plus incoherent) field scattered by a rough surface. The results reproduce the field and power statistics (i.e. mean and variance) observed from direct SBR simulations using an ensemble of explicitly rendered rough surface geometry models, with a significant reduction in computation.

Abstract: A computer-implemented method for meshing a model of a physical electro-magnetic assembly is disclosed. The method includes separating the base mesh of the model into two domains and freezing the boundary between these domains. Each domain is then sent for mesh refinement by separate computer processors. Each computer processor generates a refined mesh of the respective domain without communication between processors. Two-way boundary mesh mapping is then performed, resulting in a global conformal mesh. Surface recovery and identity assignment are then performed by separate computer processors in parallel for each domain, without communication between processors. Related apparatus, systems, techniques, methods and articles are also described.

Abstract: Methods, machine readable media and systems for evaluating, through one or more simulations, the leakage of sensitive data in an integrated circuit, such as cryptographic data or keys, are described. The embodiments can use machine learning models, such as one or more neural networks to generate one or more leakage related scores for each portion in a set of portions of the cryptographic data. In one embodiment, leakage data associated the first set of POIs with one or more neural networks is processed by the one or more neural networks to identify the POIs that leak the most and determine one or more scores for each portion in the set of portions of the cryptographic data.

Abstract: In one embodiment, a system derives non-equilibrium thermophysical values for phase property changes of a material from equilibrium thermophysical values of the material for a manufacturing process which involves heating and/or cooling of the material (such as an additive manufacturing, 3D printing, welding, or joining process). The system performs a simulation of the manufacturing process based upon the derived non-equilibrium and/or equilibrium thermophysical values. The system generates a set of results based on the simulation, the set of results indicating predicted physical properties of the material for the manufacturing process.

Abstract: A global computer aided engineering (CAE) model representing an electronic product that contains solder joints and an individual detailed solder joint model are received. The solder joint model can include a solder ball, one or more metal pads, a portion of printed circuit board, and a portion of semiconductor chip component. The global CAE model includes locations of the solder joints to be evaluated in a drop test simulation. The solder joint model is replicated at each location to create a local CAE model via a geometric relationship between the global CAE model and the local CAE model. Simulated physical behaviors of the product under a design condition are obtained in a co-simulation using the global CAE model in a first time scale and the local CAE model in a second time scale. Simulated physical behaviors are periodically synchronized based on kinematic and force constraints.

Abstract: Methods, systems and media for simulating or analyzing voltage drops in a power distribution network can use an incremental approach to define a portion of a design around a victim to capture a sufficient collection of aggressors that cause appreciable voltage drop on the victim, and then an incremental simulation of just the portion can be performed rather than computing simulated voltage drops across the entire design. This approach can be both computationally efficient and can limit the size of the data used in simulating dynamic voltage drops in the power distribution network. Multiple different portions can be simulated separately in separate processing cores or elements. In one embodiment, a system can provide options of user selected constraints for the simulation to provide better accuracy or use less memory. Better accuracy will normally use a larger set of aggressors for each victim at the expense of using more memory.

Abstract: A system for simulating operation of a battery pack comprising a plurality of battery modules includes an electrical model configured to simulate electrical behavior of a respective battery module and a thermal model configured to simulate thermal behavior of the respective battery module. The electrical model provides outputs coupled as inputs to the thermal model, and the thermal model provides outputs coupled as inputs to the electrical model. A coolant model is configured to couple with the thermal model, the coolant model to simulate cooling of the respective battery module based on a temperature and a heat transfer coefficient associated with the respective battery module.

Abstract: Machine assisted systems and methods for anisotropic polyhedral boundary layer adaptation that provides an anisotropic refinement of polyhedral prisms are described. The method can include operations: identifying a prismatic polyhedral cell as a parent cell within a polyhedral mesh representing an object of a physical system; generating a plurality of child cells for the parent cell based on non-overlapping child faces of a side face as a parent face, wherein a pair of mid-edge nodes for the side face are connected anisotropically for a child face edge of the non-overlapping child faces, the pair of mid-edge nodes are connected between the two base edges or between the two side edges; and refining the polyhedral mesh until a refinement level or a size limit is obtained, wherein the refining the polyhedral mesh includes the identification of the prismatic polyhedral cell and the generation of the plurality of child cells.