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One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run. Before even running a single simulation, experienced engineers still invest significant time in meshing their ideas. Many simulations take hours—if not weeks—on pricey computing systems. Some are so difficult that even skilled engineers must simplify them, greatly compromising accuracy. Simulators are delicate and can crash at any moment thus continual monitoring is required at every stage.
Meet DeepSim, a revolutionary AI simulation platform that automates the physics setup, allowing for 1000X faster design simulations without sacrificing accuracy. The platform’s efficient and rapid solution delivery is made possible by combining a powerful GPU-accelerated solver and lightweight, easily trainable AI models. With this technology, the bulkiness of classic finite element method (FEM) tools is removed, and the rigidity of other AI physics simulations is surmounted.
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 thousand times higher detail than a commercial tool using fifty or more CPU cores simultaneously.
Modeling exceedingly complicated geometries with length scales spanning six orders of magnitude, which are impossible to solve with FEM tools, is now possible using DeepSim’s simulator. A 10-minute thermal simulation of an integrated circuit with all the necessary components (heat sink, airflow, etc.) is shown below. Within a complete chip (1 cm), DeepSim can resolve hot spots in individual transistors (~10 nm in size).
To summarize
DeepSim is developing an AI-powered 3D physics simulator that can complete complicated simulations in minutes rather than days, thanks to its 1000X speed advantage over current FEM tools. PhDs from Stanford University who have extensive experience with GPU-accelerated solvers and thermal simulation of semiconductor devices and circuits started DeepSim. Quick and straightforward 3D physics simulations are now within engineers’ reach with DeepSim. Faster design iterations lead to better products, and better judgments are made through real-world monitoring.
The post DeepSim: AI-Accelerated 3D Physics Simulator for Engineers appeared first on MarkTechPost.
“}]] [[{“value”:”One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run. Before even running
The post DeepSim: AI-Accelerated 3D Physics Simulator for Engineers appeared first on MarkTechPost.”}]] Read More AI Shorts, AI Startups, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology