Yin-Ying Ting

Yin-Ying Ting Institute of Energy Technologies (IET-3), Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Str., 52428 Jülich, Germany Chair of Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, 52062 Aachen, Germany Jülich Aachen Research Alliance, JARA Energy & Center for Simulation and Data Science (CSD), 52428 Jülich, Germany Search for more papers by this author

1 Introduction The current Big Data era, driven by artificial intelligence and Internet of Things, demands processing exponentially increasing amounts of data, sparking tremendous interest in exploring emerging non-volatile memory technologies.[1-3] Such non-volatile memories are represented by devices known as memristors, which facilitate resistive switching (RS) between high (HRS) and low resistance states (LRS).[4] This capability enables efficient information processing for applications...

The high-entropy approach is applied to a monoclinic Prussian white material, introducing an innovative concept for developing robust cathodes for use in Na-ion batteries. In their Research Article (e202315371), Torsten Brezesinski, Ben Breitung, Yanjiao Ma and co-workers demonstrate that enhanced performance is linked to increased configurational entropy, and a proposed mechanism underscores the synergistic effects of suppressing phase transitions and mitigating gas evolution.