Neural Networks for Solving Density Functional Theory
Researchers have developed a new neural network-based method to solve the self-consistent field equations of Density Functional Theory (DFT).… more →
Researchers have achieved a new understanding of the chemical control of two-dimensional electron and hole gases (2DEGs and 2DHGs) in nitride heterostructures. Using a momentum-space imaging technique, they have been able to directly observe how the surface of these materials influences the electronic properties of the underlying layers.…
Researchers have developed a new neural network-based method to solve the self-consistent field equations of Density Functional Theory (DFT).… more →
A new study has demonstrated how linear magnetic birefringence (LMB) can be an effective tool for detecting and characterizing altermagnetic materials.… more →
Researchers have developed a novel metric to quantify a system's ability to adapt to a series of consecutive disruptions or perturbations.… more →
Researchers have identified a soft phononic mode as the origin of the 2a charge order in the kagome superconductor CsV3Sb5.… more →
The growing threat of quantum computers to current cryptography has spurred the development of new cybersecurity strategies.… more →