computational-fluid-dynamics
A hands-on guide to implementing CFD with NumPy, from discretization to airflow simulation around a bird's wing The post Building a Navier-Stokes Solver in Python from Scratch: Simulating Airflow appeared first on Towards Data Science .
Gas turbines will be indispensable in the world’s pursuit of decarbonization while simultaneously supporting a growing demand for flexible, dispatchable…
Xanadu Quantum Technologies and AMD have integrated the PennyLane quantum software library with the AMD DevCloud to execute Computational Fluid Dynamics (CFD) simulations in a hybrid quantum-classical environment. This technical framework utilizes AMD’s high-performance computing (HPC) and AI infrastructure to manage the classical processing required for complex quantum workflows. The collaborati…
During the spring semester, the University of Notre Dame’s College of Engineering welcomed Shivam Barwey as an assistant professor in the Department of Aerospace and Mechanical Engineering, further expanding the college’s expertise in advanced computational engineering. Barwey’s research focuses on the intersection of scientific machine learning and computational fluid dynamics, with a specific …
Accelerate multiphase CFD with GPU -enabled VOF and MMP solvers in Simcenter STAR-CCM+ 2602
QubitSolve Inc., a Morgantown-based startup, has been awarded a $1,197,002 Small Business Innovation Research (SBIR) Phase II grant from the U.S. National Science Foundation (NSF). The funding will accelerate the development of the company’s computational fluid dynamics (CFD) software designed specifically for quantum computers. The project aims to transition from the 2D software prototype develo…
After 25 years in simulation support, I’ve witnessed countless sophisticated simulations vanish into digital oblivion. The Tears in Rain Project transforms our Simcenter community into a living repository where rescued eVTOL, battery thermal runaway, and hypersonic flow simulations become accessible learning resources. Join us in preserving engineering brilliance that would otherwise be lost in t…
Leading solution providers are delivering real-time physical digital twins with OpenUSD, RTX, and NVIDIA Blackwell.
AI has become a ubiquitous force in the engineering world. In this blog, we explore how Simcenter Engineering Services is using AI to deliver faster solutions to common CFD challenges.
Organizations we work with Partner with us to start developing quantum algorithms for physics simulations today We develop the algorithms and roadmap for you now so you’ll be ready from the start when the hardware matures.Quantum computing offers the potential for unparalleled accuracy and speed for physics simulation. Quanscient Quantum Labs is the world-leading team in quantum algorithms for co…
Tampere, Finland, 25.2.2025 Quanscient, Oxford Ionics, and Airbus are collaborating on a project to investigate the application of quantum computing to computational fluid dynamics (CFD). The project aims to evaluate the potential of quantum simulations to improve fluid dynamics modeling for practical applications. CFD is used across industries, notably aerospace, to simulate fluid behavior. In t…
The rise of AI has significantly increased data center power consumption, making traditional air-cooling methods inefficient and unsustainable. As data centers continue to expand, immersion cooling enhanced by CFD simulation will play a crucial role in achieving higher efficiency, reliability and sustainability.
The Virtual Body method simplifies the CFD simulation of moving objects while maintaining accuracy, reducing computational overhead, and improving scalability.
Accelerating nonlinear MEMS simulations with the harmonic balance method See how harmonic balance is leveraged for solving nonlinear periodic problems in frequency domain for quicker, more precise results without transient analysis. Everything you need to know about MultiphysicsAI This episode contains everything you need to know about Quanscient MultiphysicsAI—straight from the CEO and co-founde…
Computational Fluid Dynamics (CFD) is essential for understanding how fluids behave, but it faces challenges when tackling complicated problems like designing airfoils. Accurately modeling airflow, particularly turbulence, demands significant computing power. Additionally, simulations involving multiple physical processes, like heat transfer alongside airflow, further strain computational resourc…
Computational Fluid Dynamics (CFD) is essential for understanding how fluids behave, but it faces challenges when tackling complicated problems like designing airfoils. Accurately modeling airflow, particularly turbulence, demands significant computing power. Additionally, simulations involving multiple physical processes, like heat transfer alongside airflow, further strain computational resourc…
TwinMesh™ in combination with Simcenter STAR-CCM+ allows to leverage the benefits of modern 3D CFD for rotary positive displacement machines.
With the release of Simcenter STAR-CCM+ 2406, this will be our EIGHTH release since we introduced GPU accelerated CFD. Check out how far we’ve come
Simcenter STAR-CCM+ 2402 offers CFD simulations with GPUs from major GPU vendors and expands the application range of GPUs to thermal management CFD!
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