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    Lattice Boltzmann Based Solver for High Speed Flows
    22.
    发明申请
    Lattice Boltzmann Based Solver for High Speed Flows 有权

    公开(公告)号：US20250005234A1

    公开(公告)日：2025-01-02

    申请号：US18826827

    申请日：2024-09-06

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Pradeep Gopalakrishnan ,  Raoyang Zhang ,  Hudong Chen

    IPC: G06F30/25 ,  G06F17/11 ,  G06F30/23 ,  G06F30/28 ,  G06F30/367 ,  G06F111/08 ,  G06F111/10 ,  G06F113/08

    Abstract: Techniques for simulating fluid flow on a computer that involve a stable entropy solver are described. The techniques include simulating activity of a fluid across a mesh, the activity of the fluid being simulated so as to model movement of particles across the mesh, storing, in a computer accessible memory, a set of state vectors for each mesh location in the mesh, each of the state vectors comprising a plurality of entries that correspond to particular momentum states of possible momentum states at a corresponding mesh location, simulating a time evolution of entropy of the flow by collecting incoming set of distributions from neighboring mesh locations for the collision operation, calculating by the computer scalar values in each location, determining outgoing distributions as a product of the collision operation and addition of a heat source, and modifying the flow by the computer performing for a time interval, an advection of the particles to subsequent mesh locations.

    Advanced Methods And Systems For Determining Properties Of A Molecule With Machine Learning
    23.
    发明申请
    Advanced Methods And Systems For Determining Properties Of A Molecule With Machine Learning 有权

    公开(公告)号：US20240404644A1

    公开(公告)日：2024-12-05

    申请号：US18325787

    申请日：2023-05-30

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Johannes Alfred Hugo Schwöbel ,  Sabine Schweizer ,  Kwan Skinner ,  Lalitha Subramanian

    IPC: G16C10/00 ,  G06N3/045 ,  G06N3/048 ,  G06N3/08 ,  G16C20/30 ,  G16C20/70

    Abstract: Embodiments determine properties of a molecule in an environment. One such embodiment constructs one or more three-dimensional (3D) structure models that indicate positions of atoms of the molecule. For each of the constructed one or more 3D structure models: (i) a surface model is generated that represents the environment, where the surface model includes a plurality of segments and the generated surface model defines a relationship between the indicated positions of the atoms of the 3D structure model and the plurality of segments and (ii) using a machine learning model, charge (e.g., electric charge) and chemical potential of each segment of the plurality of segments are predicted based on the 3D structure model and the generated surface model. An embodiment further predicts, using a supplemental machine learning model, energy corresponding to the 3D structure model based on the 3D structure model and the generated surface model.

    Risk identification in supply chain
    26.
    发明授权
    Risk identification in supply chain 有权

    公开(公告)号：US10803414B2

    公开(公告)日：2020-10-13

    申请号：US15164431

    申请日：2016-05-25

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Girish B. Shenoy

    IPC: G06Q10/06 ,  G06Q10/08

    Abstract: Computer systems and methods that identify and assess risk in a supply chain network. The systems and methods create a visual model of a supply chain network, which includes: (i) logical stations graphically representing the physical sites in the supply chain network, and (ii) logical transits graphically representing the transportation of materials between the represented physical sites. For each given logical station, the systems and methods identify risk values for risk categories associated with the physical site. The systems and methods identify the risk values based on physical conditions related to: (a) the physical site represented by the given logical station, (b) each physical site represented by a logical station positioned in a downstream supply chain path to the given logical station, and (c) each transportation represented by a logical transit positioned in the downstream supply chain path. The systems and methods generate dynamic graphical indications comparing the identified risk values for the risk categories and total risk values for the represented physical sites and transportations.

    Exporting Hierarchical Data From A Source Code Management (SCM) System To A Product Lifecycle Management (PLM) System
    28.
    发明申请
    Exporting Hierarchical Data From A Source Code Management (SCM) System To A Product Lifecycle Management (PLM) System 审中-公开

    公开(公告)号：US20170132556A1

    公开(公告)日：2017-05-11

    申请号：US14935789

    申请日：2015-11-09

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Ian Dobinson ,  Peter Haynes

    IPC: G06Q10/06

    CPC classification number: G06Q10/063114 ,  G06F16/25 ,  G06Q10/0637

    Abstract: Traditionally, PLM systems and SCM systems have not been linked. In an embodiment, a computer method includes, responsive to a user request to transfer a module from a source code management (SCM) system to a product lifecycle management (PLM) system, extracting, from a processor at the SCM system, data representing modules, versions of the modules, and hierarchical relationships of the modules from a data source of the SCM system. The method further includes creating a PLM system module having the extracted data representing the modules, versions of the modules, and the hierarchical relationships of the modules. Therefore, the SCM system can export a module to the PLM system in a process controlled at the SCM system.

    METHOD AND SYSTEM FOR A CROSS-DOMAIN ENTERPRISE COLLABORATIVE DECISION SUPPORT FRAMEWORK
    29.
    发明申请
    METHOD AND SYSTEM FOR A CROSS-DOMAIN ENTERPRISE COLLABORATIVE DECISION SUPPORT FRAMEWORK 审中-公开
    一种跨域企业协作决策支持框架的方法与系统

    公开(公告)号：US20160189081A1

    公开(公告)日：2016-06-30

    申请号：US14588107

    申请日：2014-12-31

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Grzegorz Gajdzinski ,  Minh Tuan Nguyen ,  Nicholas Schleich

    IPC: G06Q10/06

    CPC classification number: G06Q10/06393

    Abstract: A method and a system for cross-domain enterprise collaborative decision support within an enterprise are provided. The method includes receiving a set of information from an asset component through an embedded cell for analytics (ECA) and analyzing the set of information in real-time using a generative algorithm in a traveling intelligent cell (TIC), the TIC including at least one of a generic equipment and process data set, a specific equipment and process data set, and a dynamic deployment data set. The method also includes measuring asset component performance using the set of information and a key performance indictor (KPI) engine, comparing end results of the measured asset component performance to respective quality specification data using a data mining engine, determining a probability that a process parameter affected the measured asset component performance, and presenting a visualization of a correlated analysis to one or more subscribed users.

    Abstract translation: 提供企业内跨域企业协同决策支持的方法和系统。 该方法包括通过用于分析的嵌入式小区（ECA）从资产组件接收一组信息，并且使用行进智能小区（TIC）中的生成算法来实时分析该组信息，该TIC包括至少一个 通用设备和过程数据集，特定设备和过程数据集，以及动态部署数据集。 该方法还包括使用该组信息和关键性能指标（KPI）引擎来测量资产组件性能，使用数据挖掘引擎将测量的资产组件性能的最终结果与相应的质量规范数据进行比较，确定过程参数 影响测量的资产组件的性能，并向相关的一个或多个用户呈现相关分析的可视化。

    Systems and Methods for Determining Wear
    30.
    发明申请
    Systems and Methods for Determining Wear 有权

    公开(公告)号：US20250116585A1

    公开(公告)日：2025-04-10

    申请号：US18813755

    申请日：2024-08-23

    Applicant: Dassault Systemes Americas Corp.

    Inventor： Prashanth Kumar Vijalapura ,  Harrington Hunter Harkness ,  Junwei Xing

    IPC: G01N3/56

    Abstract: Embodiments determine wear. One such embodiment obtains, in memory associated with a processor, a finite element mesh representing a first object. For a given node of the obtained mesh, a wear variable is associated and linked to contact constraints associated with the node. A simulation of contact is performed, over movement increments, between the first object and a second object to determine wear at the node. Wear distance is iteratively determined for a given increment using the mesh, the associated variable, and the constraints. A position of the node in the mesh is iteratively updated based on the determined wear distance for the given increment, until the wear distance for each of the increments is determined. The wear at the node is determined based on the determined wear distance for each of the increments. An indication of the determined wear is output.

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