Computational Screening of Promising Deep-Ultraviolet Light Emitters.

Deep-ultraviolet (DUV) light sources are technologically highly important, but DUV light-emitting materials are extremely rare; AlN and its alloys are the only materials known so far, significantly limiting the chemical and structural spaces for materials design. Here, we perform a high-throughput computational search for DUV light emitters based on a set of carefully designed screening criteria relating to the sophisticated electronic structure. In this way, we successfully identify 5 promising material candidates that exhibit comparable or higher radiative recombination coefficients than AlN, including BeGeN2, Mg3NF3, KCaBr3, KHS, and RbHS. Further, we unveil the unique features in the atomic and electronic structures of DUV light emitters and elucidate the fundamental genetic reasons why DUV light emitters are extremely rare. Our study not only guides the design and synthesis of efficient DUV light emitters but also establishes the genetic nature of ultrawide-band-gap semiconductors in general.

[Neural oscillation and its application in mechanistic study of neuropsychiatric disorders].

Neural oscillations reflect synchronized activities of neuronal ensembles in central nervous system. In the hippocampus, thalamus, neocortex and other brain subregions, neural oscillation can be detected and plays a crucial role in many complicated cognitive processes. Decoupling and damaging of neural oscillation play a key role in the induction of severe cognition deficits in many psychiatric disorders. In this review, we summarize research advances in the underlying mechanisms and physiological functions of neural oscillations. We also discuss the abnormal changes of sharp wave-ripple, gamma oscillation and sleep spindle oscillation in major depressive disorder, schizophrenia and Alzheimer's disease, etc. Finally, the application potential of neural oscillations as clinical diagnosis and treatment targets is evaluated and prospected.