Multi Agent Systems For Finite Element Analysis
Rui Aguir | Cosmon Inc
SHIFT-Battery : A PhysicsAI Model for Optimizing Battery Pack Cold Plates
Saakaar Bhatnagar | Luminary
Securely Connecting AI with Guardrails to your Simulation Workflows
Ross Billings | Istari Digital
Reducing RFQ Design Optimization Time in E-Machine Development Through Governed Surrogate Modeling Workflows
Filippo Boscolo Fiore | KeyWard
Real-Time Physics-Informed Structural Integrity Assessment For Pressure Components Under Flexible Operation
Benedikt Engel | MatAlytics
Physics, AI and the Simulation Frontier: A Technical Assessment of Where the Boundaries Are Actually Moving
Andy Fine | Fine Physics
Machine Learning–Enabled Prediction of Stress Response and Fatigue Life for a Parameterized Aerospace Lug
Jialun Han | Dassault Systemes
Agent-Driven Workflows in Engineering Simulation: Augmenting the Analyst in the Age of Autonomous Systems
Evan Kay | Navier AI
AI-Driven Multi-Material Lattice Design and Optimization for Automotive Bumper Energy Absorbers
Pum Kim | Oak Ridge National Laboratory
A Comparitive Study between Parametric and Historical approach for Conceptual Roof Crush Surrogate Models
Johann Koshy | CST of America
Simulation as Infrastructure for the AI Era: Enabling Autonomous Engineering Workflows
Neel Kumar | Intact Solutions
On Strategy For Innovation Of Numerical Simulation With AI
Peter Langsten | Predict Change
Taming the Data Deluge: Storage Strategies for AI-Powered CAE Simulations
Rod Mach | Total CAE
From Raw Data to Intelligent Decisions: Powering Next-Generation Engineering Simulation with Automated AI-Ready Pipelines
Prasad Mandava | VCollab technologies
From Raw Data to Intelligent Decisions: Building AI-Ready Simulation Workflows
Prasad Mandava | VCollab Technologies
Statistical Validation of Geometry and Input-Space Coverage for AI Surrogates in 3D Physics Simulation
Felipe Mercado | Synopsys
Surrogate ML Approach For Designing Door Side Impact Beams
Rajasekaran Mohan | DEP
AI-Driven Modeling of Coolant Channel Flow and Thermal Behavior for Battery Module Design
Devadatta Mukutmoni | Dassault Systemes
A Finite Element-Inspired Approach to Physics-Informed AI for Industrial Engineering Applications
Derek Peeling | MayaHTT
Accelerating Structural Assessment via Physics-Constrained ML: Singularity-to-Fillet Stress Mapping
Yan Pozhanka | New Mexico Insitute of Mining and Technology
SHIFT-Crash: A Physics AI Model for Full-Vehicle Crashworthiness Prediction
Riddhiman Raut | Luminary
Zero Time Lost: Practical Agentic AI for Engineering Teams
Ram Seetharam | Synera Technologies
Soon Every Second Engineer Will be an AI Agent: Where Can You Harness Their Real Added Value?
Ram Seetharam | Synera Technologies
From Silos to Scale: An Industrial Workflow for Integrating and Deploying Physics-based Surrogate Models on a Universal Engineering Data Platform
Asparuh Stoyanov | Keyward
Comparing Human, AI, and Hybrid Human-in-the-Loop Workflows for Vibration-Based Fault Diagnosis in Rotating Machinery
Asparuh Stoyanov | Keyward
A Generic Virtual Twin Workflow For Semiconductor Packaging: Real-Time AI/ML Prediction Grounded By High-Fidelity CAE
Fei Tao | Dassault Systemes
Scaling Agentic AI in Manufacturing: A Practical Implementation Guide
Aniket Vashisht | Amazon Web Services
AI Model Driven Optimization
Dheeraj Vemula | Luminary Cloud
From Tools to Agents: How Agentic Engineering Workflows Are Reshaping Simulation-Driven Product Development
John Webster | SimScale GmbH