Physics simulation uses computational power to solve mathematical models that describe physical events. When working with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they yield are vital. 3D physics simulations are time-consuming, expensive, and difficult to run. Before even running a single simulation, experienced engineers invest significant time in putting their ideas together. Many simulations take hours, if not weeks, on expensive computer systems. Some are so difficult that even expert engineers must simplify them, greatly compromising accuracy. Simulators are delicate and can fail at any time, so continuous monitoring is required at every stage.
Meet Deep simulationa revolutionary ai simulation platform that automates physics setup, enabling 1000x faster design simulations without sacrificing accuracy. The platform’s efficient and rapid solution delivery is made possible by the combination of a powerful GPU-accelerated solver and lightweight, easily trainable ai models. This technology eliminates the bulk of classical finite element method (FEM) tools and overcomes the rigidity of other ai physics simulations.
The DeepSim team has developed the most advanced thermal simulator for circuit design in collaboration with semiconductor companies. This simulator can run thermal simulations with billions of nodes in minutes on a single GPU, providing a level of detail a thousand times greater than a commercial tool using fifty or more CPU cores simultaneously.
It is now possible to model extremely complicated geometries with length scales spanning six orders of magnitude, which are impossible to solve with FEM tools, using the DeepSim simulator. Below is a 10-minute thermal simulation of an integrated circuit with all necessary components (heat sink, airflow, etc.). Within a full chip (1 cm), DeepSim can resolve hot spots on individual transistors (~10 nm in size).
To sum up
DeepSim is developing an ai-powered 3D physics simulator that can complete complicated simulations in minutes instead of days, thanks to its 1000x speed advantage over current FEM tools. DeepSim was started by Stanford University PhDs who have extensive experience with GPU-accelerated solvers and thermal simulation of semiconductor devices and circuits. Fast and easy 3D physics simulations are now within reach of engineers with DeepSim. Faster design iterations lead to better products, and better decisions are made through real-world monitoring.
Dhanshree Shenwai is a Computer Science Engineer with extensive experience in FinTech companies spanning the Finance, Cards & Payments and Banking space and is keenly interested in the applications of artificial intelligence. She is excited to explore new technologies and advancements in today’s ever-changing world, making life easier for everyone.
