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Guannan Zhang

Highlights

Stiff chemical system
Numerical integration of stiff stochastic chemical systems

Tau-leaping is a family of algorithms for the approximate simulation of the discrete state continuous time Markov chains. A motivation for the development of such methods can be found, for instance,…

DNN_RM
Non-intrusive inference reduced order model for fluids using deep multistep neural network

exit-2d
A Feynman-Kac based numerical method for the exit time probability of a class of transport problems

RE_sg
A sparse-grid probabilistic scheme for approximation of the runaway probability of electrons in fusion tokamak simulation

RE_MC
A backward Monte-Carlo method for time-dependent runaway electron simulations

quantum control
A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models

Ackley function
AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient

wavelength demultiplexer
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics

Accelerating reinforcement learning with a directional Gaussian smoothing evolution strategy

Illustration
Scalable deep-learning-accelerated topology optimization for additively manufactured materials

The DGS-ES method (red arrow) points in the direction of the optimal solution for a given problem, whereas other techniques point in the wrong direction (blue arrow).
A novel evolution strategy for high-dimensional black-box optimization

Predicting buckling knockdown factor
Learning nonlinear level sets for dimensionality reduction in predicting complex systems

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Department of Energy - Office of Science