Atellica Inventory Manager

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Atellica Inventory Manager provides automated, real-time control of reagents and consumables across multiple locations to reduce costs, save time, and improve lab quality.

Spectrum Power ADMS

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Spectrum Power Advanced Distribution Management System (ADMS), the integration of Distribution SCADA, Outage Management and Advanced Fault and Network Analysis, all operated through one technology platform with one common user interface. Spectrum Power ADMS is the one system that brings your distribution management to the next level.

Simcenter Nastran

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Simcenter Nastran is a premier finite element method solver renowned for its computational performance, accuracy, and reliability. It offers a comprehensive suite of simulation capabilities, including linear and nonlinear structural analysis, structural dynamics, acoustics, rotor dynamics, aeroelasticity, and optimization. For over 50 years, Simcenter Nastran has been the industry standard, assisting manufacturers and engineering suppliers across sectors such as aerospace, automotive, electronics, heavy machinery, and medical devices in developing safe, reliable, and optimized designs within increasingly shorter design cycles. Key Features and Functionality: - Comprehensive Analysis Capabilities: Simcenter Nastran provides solutions for a wide range of engineering problems, including linear and nonlinear structural analysis, structural dynamics, acoustics, rotor dynamics, aeroelasticity, and optimization. - Integrated Multiphysics Solutions: The solver supports various analyses such as structural, thermal, and acoustic simulations, enabling engineers to address complex, multiphysics challenges within a single platform. - Flexible Deployment Options: Available as an integrated solution within Simcenter 3D or as a standalone solver, Simcenter Nastran offers flexibility in deployment, catering to different computing system requirements. - Simplified Modeling Processes: With consistent input/output file formats across all solution types, Simcenter Nastran streamlines modeling processes, reducing complexity and enhancing efficiency. - High-Performance Computing Support: The software is optimized for high-performance computing environments, improving performance for modal and dynamic response analyses. Primary Value and User Solutions: Simcenter Nastran empowers engineers to accurately predict and enhance product performance across multiple physics domains, reducing reliance on physical prototypes. By providing a robust and reliable simulation environment, it enables the development of innovative, high-quality products while minimizing development time and costs. The software's comprehensive capabilities allow users to address complex engineering challenges, ensuring products meet safety, reliability, and performance standards.

Simcenter Prescan

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Simcenter Prescan is a physics-based simulation platform designed for the development and validation of Advanced Driver Assistance Systems and autonomous vehicles. It enables engineers to virtually test and verify vehicle systems across a multitude of scenarios, significantly reducing the need for extensive physical testing. By replicating real-world traffic conditions, sensor interactions, and environmental factors, Simcenter Prescan facilitates a systematic development approach, leading to shorter feedback loops and accelerated adaptation cycles. Key Features and Functionality: - Comprehensive Scenario Modeling: Quickly replicate real-world traffic scenarios using an extensive database of roads, infrastructure components, actors, weather conditions, and light sources. - Advanced Sensor Simulation: Integrate high-fidelity sensor models, including radar, lidar, cameras, ultrasonic sensors, and GPS, to test vehicle interactions with their surroundings. - Control System Integration: Design and verify algorithms for data processing, sensor fusion, decision-making, and control through interfaces compatible with MATLAB and Simulink. - Automated Experimentation: Run experiments across multiple operating systems and platforms, utilizing orchestration tools to automate parameter variations for roads, paths, actions, speed profiles, lighting conditions, weather phenomena, sensor configurations, and algorithms. - Scalable Validation: Support for Model-in-the-Loop , Software-in-the-Loop , Hardware-in-the-Loop , Driver-in-the-Loop , and Vehicle-in-the-Loop applications, enabling comprehensive testing from component-level to full system validation. Primary Value and Problem Solved: Simcenter Prescan addresses the challenge of validating the safety and reliability of ADAS and autonomous vehicle systems, which traditionally require extensive physical testing over billions of miles. By providing a virtual environment for testing, it allows engineers to conduct thorough and repeatable assessments of vehicle systems under diverse conditions, ensuring performance and safety before real-world deployment. This approach not only reduces development time and costs but also enhances the robustness and reliability of autonomous driving technologies.

Simcenter E-Machine Design

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Simcenter E-Machine Design is a comprehensive software solution developed by Siemens for the rapid and efficient design and simulation of electric machines. It supports a variety of motor types, including brushless permanent magnet motors, induction motors, switched reluctance motors, and axial flux motors. By leveraging a template-driven user interface, the software enables engineers to expedite the development process, reducing both time and costs associated with electric machine design. Key Features and Functionality: - Versatile Simulation Options: Offers analytical electromagnetic (EMAG, calibrated analytical EMAG, and Finite Element Method (FEM EMAG experiments, allowing users to balance accuracy and performance data collection time according to the design stage. - Template-Driven Design: Provides ready-made, parameterized templates for various machine types, eliminating the need for FEM expertise and simplifying the setup of models and experiments. - Comprehensive Performance Analysis: Enables evaluation of machine performance under operating conditions, incorporating automatic, coupled magneto-thermal effects to identify potential failures early in the design process. - Integrated Thermal Analysis: Facilitates seamless co-simulation between electromagnetics and thermal analysis, allowing the study of heat effects and cooling strategies on machine performance. - Virtual Experimentation: Includes preset virtual experiments to assess simulated performance, providing tables, charts, and plots for comprehensive data analysis. - Flexible Winding Layouts: Features unique technology to determine all possible balanced winding layouts, enabling easy evaluation and modification of alternatives. Primary Value and Problem Solving: Simcenter E-Machine Design addresses the challenges of electric machine development by streamlining the design and simulation process. Its intuitive, template-driven approach reduces reliance on multiple physical prototypes, accelerates innovation, and optimizes performance. By integrating various simulation methods and providing comprehensive analysis tools, the software empowers engineers to make informed decisions, minimize potential failures, and deliver high-quality electric machines efficiently.

Simcenter Madymo

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Reduce new or improved vehicle development time and cost through early analysis and optimization of occupant and pedestrian safety.

Simcenter Tire

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Apply accurate tire modeling for vehicle performance simulation. Simcenter Tire helps you apply tire models to applications like vehicle handling and durability.

Simcenter Zona

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Simulate aircraft structure aeroelasticity with industry-proven solvers. A critical part of the digital thread, from concept studies to structural certification.

Simcenter PhysicsAI

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Simcenter PhysicsAI is a simulation acceleration solution from Siemens Digital Industries Software that leverages AI surrogate models trained on high-fidelity simulation data to help engineering teams explore design spaces in real time. Compared with traditional solver-based simulations, it can provide accelerated data-driven insights at a fraction of the time — in some cases up to 1,000x faster. At the core of Simcenter PhysicsAI is geometric deep learning (GDL) technology, which operates directly on meshes and CAD geometries without requiring manual feature engineering. This enables the software to learn complex relationships between shape and physical performance across multi-physics domains - including structural mechanics, computational fluid dynamics (CFD), thermal, electromagnetic and manufacturing analysis. Using data from Siemens and third-party solvers, engineers train AI models from either existing simulation data or new data generated through design of experiments (DOE) studies. Built-in validation tools and error metrics ensure these models accurately capture physical performance trends, giving engineers the confidence to make critical design decisions before predicting the performance of previously unseen geometries. Simcenter PhysicsAI supports a no-code, intuitive workflow that democratizes AI-powered simulation across multidisciplinary engineering teams, making advanced AI capabilities accessible without requiring deep expertise in machine learning or data science. It integrates seamlessly within the Simcenter portfolio - including Simcenter STAR-CCM+, Simcenter Hypermesh, Simcenter Simlab, and Simcenter Inspire - fitting naturally into existing engineering workflows without disruption. Simcenter PhysicsAI is built for simulation engineers, CAE analysts, design engineers, and data scientists working across industries where engineering performance, product reliability, and time-to-market are critical. It is particularly well-suited for organizations that already run large volumes of high-fidelity simulations and want to leverage that data investment to build scalable AI-driven workflows. By shifting early-stage screening from computationally intensive solver runs to AI inference, organizations can accelerate innovation while significantly reducing engineering costs.