110 citations · 488 across the 16 of their papers we have counts for
16 papers
Kernel Fusion in Atomistic Spin Dynamics Simulations on Nvidia GPUs using Tensor Core
Hongwei Chen, Shiyang Chen, Joshua J. Turner +1
In atomistic spin dynamics simulations, the time cost of constructing the space- and time-displaced pair correlation function in real space increases quadratically as the number of…
On Ultrafast X-ray Methods for Magnetism
Rajan Plumley, Sathya Chitturi, Cheng Peng +36
With the introduction of x-ray free electron laser sources around the world, new scientific approaches for visualizing matter at fundamental length and time-scales have become poss…
A High-Performance Implementation of Atomistic Spin Dynamics Simulations on x86 CPUs
Hongwei Chen, Yujia Zhai, Joshua J. Turner +1
Atomistic spin dynamics simulations provide valuable information about the energy spectrum of magnetic materials in different phases, allowing one to identify instabilities and the…
Capturing dynamical correlations using implicit neural representations
Sathya Chitturi, Zhurun Ji, Alexander Petsch +16
The observation and description of collective excitations in solids is a fundamental issue when seeking to understand the physics of a many-body system. Analysis of these excitatio…
Systematic improvement of neural network quantum states using a Lanczos recursion
Hongwei Chen, Douglas Hendry, Phillip Weinberg +1
The quantum many-body problem lies at the center of the most important open challenges in condensed matter, quantum chemistry, atomic, nuclear, and high-energy physics. While quant…
Neural network representation for minimally entangled typical thermal states
Douglas Hendry, Hongwei Chen, Adrian Feiguin
Minimally entangled typical thermal states (METTS) are a construction that allows one to to solve for the imaginary time evolution of quantum many body systems. By using wave funct…