
Explore a practical and accurate solution to the Poisson equation in full-potential KKR, focusing on the removed-sphere method for disordered materials.

Explore quantum simulation's multidisciplinary frontiers, from theoretical capabilities to experimental progress in trapped-atom and solid-state platforms, with leading researchers in the field.

Explore cutting-edge digital quantum simulation algorithms with expert Andrew Childs, delving into advanced techniques for modeling complex quantum systems.

Delve into advanced machine learning approaches for improving density functional theory through equivariant graph neural networks, focusing on non-local exchange-correlation functionals and molecular energy predictions.