Qi Tang
Assistant Professor
Develops computational plasma physics, scalable numerical algorithms and scientific machine learning.
Qi Tang's lab at Georgia Tech works on physics, climate & scientific computing. 17 papers since 2023, 1 at top venues, mostly ICLR. 9 PhD students and 1 master's student. 25 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 6%
- PhD students
- 9
- MS students
- 1
- alumni listed
- 25
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 1
- 5 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: ICLR
Research focuspaper titles that use each topic's words
- numerical1 paper
- Physics, climate & scientific computing0 papers
- scientific machine0 papers
- computational science0 papers
- develops computational0 papers
Paper list
From the lab homepage.
20265 papers
- Communications in Computational PhysicsLearning generalized diffusions using an energetic variational approach
- Data Science in SciencePredicting atomistic transitions with transformers
- SIAM Journal on Scientific ComputingReduced-order modeling of Hamiltonian dynamics based on symplectic neural networks
- Physical Review ESelf-mediation of runaway electrons via self-excited wave-wave and wave-particle interactions
- Physica D: Nonlinear PhenomenaStructure-aware variational learning of a class of generalized diffusions
20255 papers
- Journal of Computational PhysicsA structure-preserving discontinuous Galerkin scheme for the Cahn–Hilliard equation including time adaptivity
- ICLR (T1)A theoretically-principled sparse, connected, and rigid graph representation of molecules
- SIAM Journal on Scientific ComputingAn adaptive Newton-based free-boundary Grad–Shafranov solver
- Journal of Computational PhysicsFast-slow neural networks for learning singularly perturbed dynamical systems
- Physics of PlasmasSymplectic neural network and its applications to charged particle dynamics in electromagnetic fields
20245 papers
- Journal of Computational PhysicsDenoising Particle-In-Cell Data via Smoothness-Increasing Accuracy-Conserving Filters with Application to Bohm Speed Computation
- Machine Learning: Science and TechnologyLatent space dynamics learning for stiff collisional-radiative models
- Journal of Scientific ComputingNumerical methods for fourth-order PDEs on overlapping grids with application to Kirchhoff–Love plates
- Journal of Computational PhysicsScalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker–Planck–Boltzmann model
- Journal of Physics: Conference SeriesSymplectic neural surrogate models for beam dynamics
20232 papers
- Scientific ReportsApproximation of Nearly-Periodic Symplectic Maps via Structure-Preserving Neural Networks
- Journal of Computational PhysicsStabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems
Where alumni went25 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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