The article "Machine Learning Density Functions from the Random Phase Approximation" has been selected by ACS Editors' Choice as one of those articles...
In March, the FWF approved a highly endowed "Cluster of Excellence", with TU Wien as the lead and three other institutions. The large-scale scientific...
Front Cover: Temperature-Dependent Anharmonic Phonons in Quantum Paraelectric KTaO3 by First Principles and Machine-Learned Force Fields (Adv. Quantum...
A team of researchers succeeded in the FWF's internationally competitive programme with its ambitious project to create new technologies for efficient...
