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Artificial nanomagnets inspire mechanical system with memory capability

An international research team including Los Alamos National Laboratory and Tel Aviv University has developed a unique, mechanical metamaterial that, like a computer following instructions, can remember the order of actions performed on it. Named Chaco, after the archaeological site in northern New Mexico, the new metamaterial offers a route to applications in memory storage, robotics, and even mechanical computing.
Los Alamos New Mexico United States Los Alamos National Laboratory Yoav Lahini Carl Merrigan
Source: phys.org

GMD - Comparing the Performance of Julia on CPUs versus GPUs and Julia-MPI versus Fortran-MPI: a case study with MPAS-Ocean (Version 7.1)

Abstract. Some programming languages are easy to develop at the cost of slow execution, while others are fast at runtime but much more difficult to write. Julia is a programming language that aims to be the best of both worlds โ€“ a development and production language at the same time. To test Julias utility in scientific high-performance computing (HPC), we built an unstructured-mesh shallow water model in Julia and compared it against an established Fortran-MPI ocean model, the Model for Predi...
United Kingdom United States Markr Petersen Los Alamos Robertr Strauss Sylwester Arabas

Improved Machine Learning Model is a Breakthrough Capability for Quantum Chemistry

The equations of quantum mechanics provide a roadmap to predicting the properties of chemicals starting from basic scientific theories. However, these equations quickly become too expensive in terms of computer time and power when used to predict behavior in large systems.
Laura Thomsonsep Office Of Basic Energy Sciences Office Of Science Department Of Energy Office Science Chemical Sciences Los Alamos National Laboratory Directed Research
Source: azom.com

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Nanotechnology Now - Press Release: Quantum quirk yields giant magnetic effect, where none should exist: Study opens window into the landscape of extreme topological matter

Nanotechnology Now Our NanoNews Digest Sponsors Home > Press > Quantum quirk yields giant magnetic effect, where none should exist: Study opens window into the landscape of extreme topological matter Rice University theoretical physicists (from left) Hsin-Hua Lai, Qimiao Si and Sarah Grefe worked with experimental collaborators at Vienna University of Technology to understand topological features of a nonmagnetic Weyl-Kondo semimetal allowed it to produce a giant Hall effect in the absence of a...
Brown School United States Rice University Nordrhein Westfalen Oleg Rubel Peter Blaha

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