Related Experiment Video
Updated: Jun 5, 2025

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
Acceleration without Disruption: DFT Software as a Service
Fusong Ju1, Xinran Wei1, Lin Huang1
1Microsoft Research AI for Science, Beijing 100080, China.
Abstract:
Density functional theory (DFT) has been a cornerstone in computational chemistry, physics, and materials science for decades, benefiting from advancements in computational power and theoretical methods. This paper introduces a novel, cloud-native application, Accelerated DFT, which offers an order of magnitude acceleration in DFT simulations. By integrating state-of-the-art cloud infrastructure and redesigning algorithms for graphic processing units (GPUs), Accelerated DFT achieves high-speed calculations without sacrificing accuracy. It provides a user-friendly and scalable solution for the increasing demands of DFT calculations in scientific communities. The implementation details, examples, and benchmark results illustrate how Accelerated DFT can significantly expedite scientific discovery across various domains.
Related Concept Videos
Fast Fourier Transform
The computational efficiency of the FFT becomes...
Discrete-Time Fourier Series
For a discrete-time periodic signal x[n]...
Discrete Fourier Transform
Discrete-time Fourier transform
One of the notable...
Accelerating Fluids
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
Relation of DFT to z-Transform
To understand how the DFT works, it's helpful to consider the z-transform, which is a method for representing discrete sequences in the complex frequency domain. The z-transform involves summing the...

