The Department of Energy’s Oak Ridge National Laboratory researchers Valentino Cooper, Howard Wilson and Jiaqiang Yan have ...

The new Department of Materials Science and Engineering at the joint FAMU-FSU college is part of the inaugural Neutron Nexus, as ORNL “brings neutrons” to northern Florida, enabling new users to ...

Dr. Mina Yoon is the Group Leader of Microstructural Evolution Modeling Group in the Materials Science and Technology Division (MSTD) at Oak Ridge National Laboratory (ORNL) and a Joint Faculty at the ...

Steve is a computational astrophysicist in the Advanced Computing for Nuclear, Particles, and Astrophysics group. He earned his Ph.D. in Physics and Computational Mathematics, Science, and Engineering ...

In recent years, there has been an explosion of reports of automated systems exhibiting undesirable behavior --- often manifesting itself in terms of gross violations of social norms like privacy and ...

The Computational Framework for Unbiased Studies of Correlated Electron Systems (CompFUSE) SciDAC-4 project seeks to understand, predict, and ultimately control the effects of correlations in quantum ...

Microbiology is largely an empirical science, with results more likely to be communicated through cartoons than equations and models. As a result, experiments are not designed to gather data that ...

Hugo Bouteiller joined Oak Ridge National Laboratory (ORNL) as a Staff Research Scientist in July 2024. He's part of the University of Tennessee - Oak Ridge Innovation Institute (UT-ORII) which is a ...

Combining two techniques, analytical chemists at the Department of Energy’s Oak Ridge National Laboratory became the first to detect fluorine and different isotopes of uranium in a single particle at ...

Neutron scattering has revealed the presence of quantum spin liquid (QSL) features in an S = 1/2 triangular lattice antiferromagnet (TLAF) and demonstrated its resilience to magnetic anisotropy. This ...

After reviewing recent theoretical results for Anderson acceleration (AA), we consider its application to solving incompressible Navier-Stokes (NS) equations and regularized Bingham equations. For NS, ...

Anderson acceleration (AA) is an extrapolation technique designed to speed-up fixed-point iterations, like those arising from the iterative training of Deep Learning (DL) models. Training DL models ...