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Industry News
Congenital heart defects are present from birth, and no two are alike, yet devices were historically rarely designed for a specific child. According to NVIDIA, Children’s Hospital of Philadelphia (CHOP) uses open source AI to model children’s hearts before procedures.
Dr. Matthew Jolley, a CHOP cardiologist, and his team built a cardiac modeling service on MONAI, an open source medical imaging framework cofounded by NVIDIA. Using CT scans, MRI and 3D ultrasound, it produces anatomically precise heart models.
- The team built SlicerHeart, an extension of 3D Slicer, and trained segmentation networks with MONAI Label and NVIDIA’s Auto3DSeg.
- CHOP routinely models ventricular septal defects, holes between the heart’s lower chambers. In one case, a model clarified the anatomy after earlier repairs failed, and the repair succeeded.
- CHOP is building NVIDIA Warp-based simulation frameworks for Newton, an open source physics engine, aiming for real-time clinical workflows.
- An Omniverse and OpenUSD virtual reality tool is in development.
Because this patient group is small and varied, CHOP, Stanford and Boston Children’s Hospital share open source tools, and a national hospital consortium is forming. The work aims to help clinicians understand a child’s heart before any procedure begins.
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Product News
- Simulation and Python automation
- Die cost estimation, assembly planning
Full-inverter thermal testing
Shop-floor thermal quality verification
Faster parallel simulation workloads
Expanded RAM, disk space
Faster GeometryAI meshing
Volumetric field visualization
Ansys Rocky software now offers a deformable particle feature that aims to simulate how particles change shape and break under compaction. It estimates porosity and density distribution, with results usable in structural analysis for pharmaceutical, battery, food and additive manufacturing.
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Deep-tech startup SunCubes is using SimScale’s Engineering AI to develop laser-based charging that lets drones recharge in flight without physical contact, targeting drone range and endurance limits. Cloud simulation aims to assess thermal, structural and aerodynamic performance of its systems.
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The Exploration Company is using Teamcenter with Designcenter, Simcenter and Capital to connect mechanical, electrical and simulation workflows. The integrated environment aims to harmonize engineering data, improve traceability and support digital-twin development for reusable spacecraft, including its Mission Bikini demonstration capsule.
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Seoul National University researchers used Tidy3D to validate disordered structures where correlations between material properties control light-scattering direction and symmetry. The study also demonstrated a passive alternative using loss-only materials, exploring optical control without perfectly periodic structures.
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Industry Events
Agentic AI is reshaping engineering design, but complex systems need more than prompt-driven workflows. Explore how to guide an AI agent through Model-Based Design to generate requirements, design a model predictive controller, run SIL/PIL testing, and generate embedded code for deployment.
🗓️ October 6, 2026
🕡 18:30 – 19:30 IST
This three-day training course introduces the COMSOL Multiphysics® modeling workflow, covering geometry creation, meshing, model setup, and results visualization. It then progresses to solution techniques and multiphysics modeling through demonstrations, lectures, and self-guided hands-on training.
🗓️ October 6-8, 2026
🕤 09:30 – 15:30 BST
This webinar explores computational human body modeling for understanding trauma, injury prevention, and personalized clinical care. Through illustrative examples, it covers model development, verification and validation, and application-driven simulation strategies.
🗓️ October 8, 2026
🕓 16:00 – 17:00 CEST
This webinar introduces Luminary-SMART, a new architecture for Large Physics Models designed to learn the underlying physics rather than the simulation mesh. It covers mesh independence, scalable model capacity, comparison with prior architectures, and benchmark performance for teams deploying Physics AI in production.
🎥 Available On Demand
In FOCUS
Company in Focus
Who they are
QpiAI is a Bengaluru-based company building vertically integrated AI, quantum computing and HPC infrastructure. Led by Founder, CEO and Chairman Dr. Nagendra Nagaraja, it brings together experts in AI, semiconductors, quantum hardware, quantum algorithms and HPC, with additional offices in the US, Finland and Singapore.
Solutions & Technology
QpiAI offers a full stack, from quantum chips to AI software and industry solutions.
- Technology: Superconducting transmon qubits with surface-code error correction (25-qubit Indus, 64-qubit Kaveri; 128- and 1,000-qubit systems planned), Q-LDPC fault-tolerant roadmap, QpiAISense control electronics, quantum computers co-located with HPC and a multi-agent AI system.
- Products: Indus (25-qubit quantum computer), QVidya (8-qubit education and research system), QCloud (quantum cloud platform for research and training), Pro, Agent Hive, Pharma (quantum-ready drug discovery platform), Matter, Logistics, Opt and Explorer.
Applications:
QpiAI serves pharmaceuticals, materials, manufacturing, logistics, energy, automotive and aerospace, telecommunications and banking, from drug discovery to CFD simulation and fraud detection. In a NASSCOM case study, QpiAI cites up to 96x faster automotive design simulations.
Solutions Focus:
QpiAI groups its offerings into nine solution areas: Enterprise Gen AI, Industrial AI, Vision Intelligence, Quantum Adoption, Drug Discovery, Materials Discovery, Logistics Optimization, Quantum Security Readiness and solutions for academia. These include drug-candidate identification, new-material discovery, supply-chain optimization and research support. True to its tagline, “Technology of the Future, Delivered Today,” QpiAI is building the stack for practical quantum-AI adoption.
Technology Focus
In some ultra-luxury watches, a minute repeater uses tiny hammers striking tiny gongs to chime the hours, quarter-hours, and minutes on demand. Originally created to tell time in the dark, it is now regarded as a piece of art, representing status, craftsmanship, and a link to the past.
Achieving just the right chime tones takes extreme precision, with multiple small components involved. To study this, engineers at HEPIA in Geneva, part of HES-SO University of Applied Sciences and Arts Western Switzerland, used COMSOL Multiphysics® and a simplified 2D model.
Multibody dynamics simulated the hammer–gong interaction, including contact, spring, and damping effects. The boundary element method (BEM) calculated the radiated sound field, while the finite element method (FEM) served as a comparison. Unlike FEM, which requires meshing the surrounding air volume, BEM meshes only the boundaries, reducing computational and memory demands. Researchers also used a deep neural network surrogate model trained on BEM simulation data, together with the efficient global optimization algorithm, to explore hammer impact positions and their effects on acoustic intensity and tonal quality.
Researcher Roland Rozsnyo explained that the boundary element method gave similar acoustic results with substantially reduced computation, and that surrogate modeling notably shortened optimization time. Results are validated against measurements in HEPIA‘s anechoic chamber. He sees the watch industry as only at the beginning of using multiphysics simulation, suggesting this timeless tradition still has much to explore.