Get Even More Visitors To Your Blog, Upgrade To A Business Listing >>

Harnessing the power of AI to understand warm dense matter

Atomic construction and electron distribution in warm dense matter. Credit: Attila Cangi

The research of Warm Dense matter helps us understand what’s going on inside large planets, brown dwarfs, and neutron stars. However, this state of matter, which reveals properties of each solids and plasmas, doesn’t happen naturally on Earth. It will be produced artificially in the lab utilizing giant X-ray experiments, albeit solely at a small scale and for brief intervals of time. Theoretical and numerical fashions are important to consider these experiments, that are unattainable to interpret with out formulation, algorithms, and simulations. Scientists at the Center for Advanced Systems Understanding (CASUS) at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have now developed a way to consider such experiments extra successfully and sooner than earlier than.

Describing the unique state of Warm Dense matter poses a unprecedented problem to researchers. For one, frequent fashions of plasma physics can’t deal with the excessive densities which can be prevalent on this state. And for an additional, even fashions for condensed matter are now not efficient below the immense energies it entails. A group round Dr. Tobias Dornheim, Dr. Attila Cangi, Kushal Ramakrishna, and Maximilian Böhme from CASUS in Görlitz are engaged on modeling such complicated programs. Initial outcomes have been lately printed in the journal Physical Review Letters. The group joined forces with Dr. Jan Vorberger from the Institute of Radiation Physics at HZDR and Prof. Shigenori Tanaka from Kobe University in Japan to develop a brand new technique to calculate the properties of warm dense matter extra effectively and sooner.

“With our algorithm, we can perform highly accurate calculations of the local field correction, which describes the interaction of electrons in warm dense matter and thus allows us to unlock its properties. We can use this calculation to model and interpret results in future X-ray scattering experiments, but also as a basis for other simulation methods. Our method helps determine the properties of warm dense matter, such as temperature and density, but also its conductivity for electric current or heat and many other characteristics,” Dornheim explains.

Mainframe computer systems and neural networks

“The motivation behind our method is that we and many other researchers would like to know exactly how electrons behave under the influence of small perturbations, such as the effect of an X-ray beam. We can derive a formula for this, but it is too complex to be solved with pencil and paper. This is why we previously resorted to a certain simplification, which, however, failed to show some important physical effects. We have now introduced a correction that removes this very flaw,” Dornheim continues.

To implement it, they carried out computationally intense simulations over tens of millions of processor hours on mainframe computer systems. Based on this information and with the assist of analytical statistical strategies, the scientists skilled a neural community to numerically predict the interplay of electrons. The effectivity positive aspects supplied by the new software depend upon the specific utility. “In general, though, we can say that previous methods required thousands of processor hours to attain a high degree of accuracy, whereas our method takes mere seconds,” says Attila Cangi, who joined CASUS from Sandia National Laboratories in the United States. “So now we can perform the simulation on a laptop whereas we used to need a supercomputer.”

Outlook: A brand new customary code for experiment analysis

For the time being, the new code can solely be used for electrons in metals, for instance in experiments on aluminum. However, the researchers are already engaged on a code that may be utilized extra usually and that ought to ship outcomes for all kinds of supplies below very totally different circumstances in the future. “We want to incorporate our findings into a new code, which will be open source, unlike the current code, which is licensed and therefore difficult to adapt to new theoretical insights,” explains Maximilian Böhme, a doctoral scholar with CASUS who’s collaborating on this with British plasma physicist Dave Chapman.

Such X-ray experiments to research warm dense matter are solely doable at a handful of giant laboratories, together with the European XFEL close to Hamburg, Germany, but additionally the Linear Coherent Light Source (LCLS) at the Stanford Linear Accelerator Center (SLAC) at Stanford University, the National Ignition Facility (NIF) at Lawrence Livermore National Laboratory, the Z Machine at Sandia National Laboratories, and the SPring-8 Angstrom Compact free electron LAser (SACLA) in Japan. “We are in contact with these labs and expect to be able to be actively involved in the modeling of the experiments,” Tobias Dornheim reveals. The first experiments at the Helmholtz International Beamline for Extreme Fields (HIBEF) at the European XFEL are already being ready.


Collective quantum impact: When electrons hold collectively


More data:
Tobias Dornheim et al, Effective Static Approximation: A Fast and Reliable Tool for Warm-Dense Matter Theory, Physical Review Letters (2020). DOI: 10.1103/PhysRevLett.125.235001
Provided by
Helmholtz Association of German Research Centres


Citation:
Harnessing the power of AI to understand warm dense matter (2021, January 28)
retrieved 28 January 2021
from https://phys.org/news/2021-01-harnessing-power-ai-dense.html

This doc is topic to copyright. Apart from any truthful dealing for the goal of non-public research or analysis, no
half could also be reproduced with out the written permission. The content material is supplied for data functions solely.

FOLLOW us ON GOOGLE NEWS

 

Source



This post first appeared on TechCodex, please read the originial post: here

Share the post

Harnessing the power of AI to understand warm dense matter

×

Subscribe to Techcodex

Get updates delivered right to your inbox!

Thank you for your subscription

×