Welcome!

Nano-scale transistors fill warehouse-scale supercomputers, yet their performance still constrains development of the jets that defend us, the medical therapies our lives depend upon, and the renewable energy sources that will power our generation into the next. The Computational Physics Group at Georgia Tech develops computational models and numerical methods to push these applications forward. We accompany our methods with algorithms crafted to make efficient use of the latest exascale machines and computer architectures, including AMD GPUs, Arm/RISC CPUs, and quantum computers. We develop open-source software for these methods that scales to the world’s largest supercomputers. Check out the rest of this website to learn more.

PI: Spencer Bryngelson
Assistant Professor
College of Computing, CSE
College of Engineering, AE/ME
Georgia Tech

Openings? Visit this page if you’re interested in joining our group.

Examples of our work

Bubble cavitation and droplet shedding are fundamental multiphase flow problems at the core of naval hydrodynamics, aerospace propulsion, and more. We developed a sub-grid method for simulating these phenomena. MFC, our open-source exascale-capable multi-phase flow solver, demonstrates such scale-resolving simulation of a shock-droplet interaction in the above video (via Ph.D. student Ben Wilfong).

The spectral boundary integral method leads to high-fidelity prediction and analysis of blood cells transitioning to chaos in a microfluidic device. This method of simulation provides resolution of strong cell membrane deformation with scant computational resources (above). We developed a stochastic model for the cell-scale flow, enabling microfluidic device design and improving treatment outcomes.

News

4 June, 2024 Jack’s manuscript on solving the Navier-Stokes equations on actual (IBM) quantum devices is now on arXiv!

3 June, 2024 Presenting our work on stochastic modeling of cavitation inception at CAV2024 in Crete, Greece; say hello if you catch me!

21 May, 2024 Work starts on our new contract with LLNL on regularization of kinetic-based PDEs. Looking forward to the collaboration!

12 May, 2024 Our paper, Method for portable, scalable, and performant GPU-accelerated simulation of multiphase compressible flow, was accepted to Computer Physics Communications. Congrats to Anand, Henry, and Ben!

9 May, 2024 Congratulations to Jesus and Ben, who passed their Ph.D. qualifying exams!

6 May, 2024 Subrahmanyam, resident sickle cell dynamics expert, graduates with his BSCS and heads to a snazzy industry gig. Congratulations, Sub!

4 May, 2024 Max starts his NVIDIA summer internship. Congrats, Max!

8 April, 2024 Congraulations to Suzan on winning the PURA Salary Award for research this summer, and Anshuman on our latest publication: Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands.

4 March, 2024 We are at the 2024 APS March Meeting! We have talks on simulating fluid flow on quantum devices as well as exascale machines like Frontier.

23 February, 2024 Dr. Tianyi Chu joins the group as a postdoc. Welcome, Tianyi!

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