Simcenter PhysicsAI accelerates simulation workflows by transforming historical data into reliable, high-fidelity predictive models. Powered by cutting-edge geometric deep learning, it uncovers relationships between shape and performance across any physics domain. Simcenter PhysicsAI empowers teams to evaluate more concepts and make confident design decisions, delivering data-driven insights up to 1000x faster than traditional solver simulations.
Simcenter PhysicsAI predicts product KPIs directly on mesh or CAD models, reducing simulation time from hours to seconds. Rapid predictions enable extensive design exploration, reduced prototyping costs and faster time-to-market.
Empower engineers across multi-disciplinary teams to harness AI-powered simulations with no-code, intuitive workflows. Train surrogate models, validate results, predict on new geometries and confidently scale AI-driven simulation.
Traditional surrogate models are confined to minor geometric variations and simple outputs. Geometric deep learning breaks these barriers—handling complex inputs, topologies and delivering rich 3D field predictions in real-time.
Work seamlessly with native CAE models in a truly solver-agnostic environment. Leverage legacy simulation data without reformatting or conversion, enabling faster setup and improved interoperability across tools and teams—generating more value from your existing engineering assets.
Train models using advanced geometric deep learning, that operates directly on meshes and CAD models, eliminating manual feature engineering. Engineers can freely explore unconventional, non-parametric designs while accelerating model development and unlocking more accurate, physics-aware predictions across diverse topologies and shapes.
Identify out-of-distribution designs with an intelligent geometric similarity metric. Reduce risk and ensure trustworthy insights — empowering engineers to make informed decisions on when to rely on AI-predicted results and when to run full-fidelity simulations.
Access Simcenter PhysicsAI directly within Simcenter Hypermesh, Simcenter Simlab and Simcenter Inspire. Embed geometric deep learning into your existing workflows with minimal disruption. Enhance engineering productivity and access fast, reliable design insights within the tools you already use and trust.
Break down workflow silos with Simcenter PhysicsAI's solver-flexible architecture. Bring existing high-fidelity CFD results from legacy solvers, straight into Design Manager as training data. Accelerate model creation, unify workflows across tools and teams and unlock greater value from your existing simulation assets.
Simcenter PhysicsAI is fully embedded within Design Manager in Simcenter STAR-CCM+, delivering advanced GDL capabilities without disrupting established workflows. Engineers access training, validation and prediction within a single, familiar interface to eliminate context switching and maximize productivity.
Simcenter PhysicsAI natively handles polyhedral meshes, the industry standard for high-fidelity CFD simulations in Simcenter STAR-CCM+. GDL models capture richer spatial relationships without mesh conversion or simplification – to preserve simulation fidelity and deliver accurate predictions confidently across the entire design space.
Simcenter PhysicsAI features a geometric similarity score, an indicator based on geometry and discretization that assesses how similar a new design is to the training dataset. Engineers instantly know whether a prediction is reliable or a full CFD run is needed – to enable confident AI-driven exploration.
Simcenter PhysicsAI extends AI-accelerated prediction across all study types: manual, sweeps, smart sweeps and optimization.Engineers gain deep multifaceted insights accelerating data-driven decisions across the full design cycle, including global performance values like drag and lift coefficients, surface field distributions such as pressure and wall shear stress, and comprehensive 3D volume fields.
Kinetic Vision | Near-instant physics predictions saves millions of dollars
Kinetic Vision adopted Simcenter PhysicsAI to transform packaging design, replacing weeks of simulation with near-instant AI predictions. Running up to 4,000x faster than traditional FEA at up to 97.5% accuracy, it's delivering millions in savings, with less plastic waste reaching landfills and a smarter path to sustainable packaging at scale.
Simcenter PhysicsAI enables instant prediction of crash, durability, aerodynamics, electromagnetic, and manufacturing analysis across interior, exterior, and powertrain components to dramatically cut down simulation time. Engineers can explore more design concepts, reduce physical prototypes, and accelerate development while delivering lighter, safer, and more energy-efficient vehicles.
Simcenter PhysicsAI supports quick evaluation of structural integrity, aerodynamics, avionics, propulsion, and radar systems to enable faster design iterations. Organizations can reduce structural weight, improve fuel efficiency, optimize antenna design, and lower maintenance costs through predictive digital twins, enhancing mission readiness, and lifecycle performance.
Simcenter PhysicsAI delivers rapid multi-disciplinary insights across thermal, electromagnetic, fluid cooling, and drop-test scenarios. It enables engineers to design compact, high-performance electronics with improved thermal management, component durability, and signal reliability — to deliver robust performance in demanding environments.
Simcenter PhysicsAI enables rapid prediction of structural, thermal and fluid performance for heavy equipment, from cabin ventilation and engine cooling to HVAC systems. Engineers can assess more design variants early, reduce reliance on costly physical prototypes, accelerate time-to-market with confidence, and optimize for durability, comfort, and energy efficiency.
Simcenter PhysicsAI accelerates design-to-production workflows with AI-driven process simulations of casting, forming, extrusion, molding, 3D printing, and polyurethane foaming. It allows engineers to identify potential defects early, optimize materials and processes, reduce manufacturing costs, and deliver higher-quality products with greater consistency and efficiency.
Simcenter PhysicsAI empowers naval engineers to rapidly assess hull forms, keel geometries, and rudder configurations for hydrodynamic performance, replacing lengthy solver runs with real-time predictions in minutes. Teams can explore a broader range of designs, minimize resistance, and accelerate the path to efficient, high-performance marine vessels.
