| Dec 19, 2024 |
Our team's project has been selected by by Georgia Tech's Open Source Program Office (OSPO). Our goal is to release our Newton-based Grad-Shafranov solver as an open-source project. Future enhancements include MPI support and advanced mesh adaptivity. We currently have an immediate opening for a RA position, ideal for undergraduate or master's students. If you're interested, please don't hesitate to reach out. We gratefully acknowledge the generous support from OSPO and the Sloan Foundation. |
| Dec 9, 2024 |
Our team has a project selected at the Computational Physics Student Summer Workshop at LANL next summer. The project, titled "Kinetic Plasma Simulations Using Super-Particles," builds upon the work of Ph.D. student Mandela Quashie. If you are interested in working with us and participating the workshop as a student fellow, please apply by January 15th (US citizen only). |
| Dec 4, 2024 |
A new inter-lab LDRD project has been selected for funding. We will collaborate with LANL (PI: Chengkun Huang), SNL (PI: Khachik Sargsyan), and PNNL (PI: Ben McDonald). The project focuses on developing data-driven approaches, including scientific machine learning and reduced-order modeling, for multi-probe radiography systems. A funded PhD position at Georgia Tech will be available as part of this project. |
| Nov 22, 2024 |
A new paper has been submitted on learning generalized diffusions using a variational framework. Our network builds in an energy dissipation law strongly into the learning framework. This is a joint work with applied mathematicians from Illinois Tech and UCR, and it was primarily supported by our DOE ASCR SciML project. See arXiv. |
| Oct 16, 2024 |
A new paper has been submitted on a structure-preserving discontinuous Galerkin scheme for the Cahn-Hilliard equation. We designed and developed the new scheme using a combination of compatible finite elements, fully implicit time stepping, preconditioning, and time adaptivity. This is a joint work with Golo Wimmer and Ben Southworth at LANL. See arXiv. |
| Sep 24, 2024 |
A new paper has been submitted on runaway electrons through wave-wave and wave-particle interactions. Using LANL's flagship VPIC code, We conducted large-scale Particle-In-Cell simulations to discover new physics related slow-X modes. This is a joint work with several physicists at LANL. See arXiv. |
| Aug 29, 2024 |
Our postdoc, Dan Serino, has accepted an offer to become a Staff Scientist at T-5. He will continue as a collaborator of our team, with his research focusing on machine learning, applied math, and computational science at LANL. Congratulations, Dan! |
| Aug 20, 2024 |
Qi Tang has started a new position as a tenure-track assistant professor in the School of Computational Science and Engineering (CSE) at the Georgia Institute of Technology. At Georgia Tech, our team will continously explore high-performance computing, scientific computing and simulation, and AI/ML, three core research areas at CSE. |
| Aug 16, 2024 |
After nearly six fruitful years at Los Alamos National Laboratory, our team will be leaving T-5 and LANL. It has been a remarkable journey collaborating with some of the world’s best computational scientists, mathematicians, and physicists at Department of Energy national labs. We especially thank our collaborators from LANL, LLNL, SNL, and ANL for many helpful discussions. |
| Aug 8, 2024 |
Our postdoc, Xuping Xie, has started a new position as a tenure-track assistant professor in Department of Mathematics and Statistics and School of Data Science at Old Dominion University. Congratulations! |
| Jul 3, 2024 |
A new paper has been submitted on an adaptive Newton-based method for the free-boundary Grad-Shafranov equation. This solver provides an accurate low-beta initial condition for whole device modeling (WDM) in magnetic confinement fusion. See arXiv. Our postdoc, Dan Serino, is the lead author. |
| Jun 17, 2024 |
A new paper has been submitted on building a physics-assisted latent dynamics model for collisional-radiative models. This is a critical component in integrated modeling for fusion WDM. See OSTI. Our postdoc, Xuping Xie, is the lead author. |
| Feb 24, 2024 |
A new paper has been submitted on building Fenichel normal form strongly into neural ODE. This is the first realization of Fenichel normal form in machine learning, opening a new path for studying multiscale dynamical systems. See arXiv. Our postdocs, Dan Serino and Allen Alvarez-Loya, are the lead authors. |