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 CSE 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 CPUs, FPGAs, and even 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.
Openings? Visit this page if you’re interested in joining our group.
Examples of our work
Bubble cavitation can ablate kidney stones, but wreaks havoc on marine propellers. We developed a sub-grid method for simulating this phenomenon. It uses a hybrid quadrature method of moments scheme to close the governing equations at low cost. MFC, our open-source multi-phase flow solver, demonstrates this method. MFC is also capable of fully-resolved multi-phase fluid dynamics via the diffuse-interface method.
The spectral boundary integral method leads to high-fidelity prediction and analysis of blood cells transitioning to chaos in a microfluidic device (above). We developed a low-order model for the cell-scale flow, important for guiding microfluidic device design and improving treatment outcomes.
News
25 September, 2023 Spencer, Florian, and Stanford colleague Ali Mani organized a minisymposium at the latest IACM MMLDE conference in El Paso, Texas. Collaborator Jessie Liu (Stanford) presented our ongoing work on a targeted nonlocal closure recovery scheme via adjoint macroscopic forcing.
17 September, 2023 Jack and Spencer are at IEEE International Conference on Quantum Computing and Engineering! Jack is giving a tutorial on solving PDEs using quantum computers (material is open source, here).
14 September, 2023 Spencer is giving a seminar at the University of Illinois at Urbana-Champaign on Friday September 14, do join us or say hi if you are around!
6 September, 2023 Spencer gave a seminar for the Georgia Tech Woodruff School of Mechanical Engineering.
31 July, 2023 Ajay’s neural net. inference library, roseNNa, is now also described in this manuscript!
6 July, 2023 Congraulations to group Ph.D. student Haocheng Yu, who passed his qualifying exam today!
5 July, 2023 Congratulations to the VIP Student Cluster Competition team for being accepted to the IndySCC competition!
25 June, 2023 Our preprint on the fast macroscopic forcing method is on arXiv! A collaborative effort with Florian Schäfer (Gatech) and Jessie Liu and Ali Mani (Stanford).
17 June, 2023 Congratulations to research scientist Dr. Bryan Gard on winning GTRI IRAD of the Year award! For work with the group on quantum algorithms for PDEs and CFD.
13 June, 2023 Paper on electrodynamic drops published in JCP.
