Persistent luminescence (PL) is a distinctive optical phenomenon with long‐lasting afterglow
emissions after the cessation of excitation, thus emerging huge prospects in the applications …

Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

Artificial optoelectronic synapses with both electrical and light‐induced synaptic behaviors
have recently been studied for applications in neuromorphic computing and artificial vision …

A high‐density neuromorphic computing memristor array based on 2D materials paves the
way for next‐generation information‐processing components and in‐memory computing …

Neuromorphic computing promises to transform the current paradigm of traditional
computing toward non-von Neumann dynamic energy-efficient problem solving. To realize …

Multi‐mode luminescence tuning through in situ crystallization of topological glass holds
significance for photonics applications. Here, NaAlSiO4: Eu2+‐based glass ceramics are …

Emerging neural morphological vision sensors inspired by biological systems that integrate
image perception, memory, and information computing are expected to transform the …

In the era of intelligence, the output colors of foundational phosphors are expected to be
controlled by programs, while current activators‐determined afterglow candidates with fixed …

Photoadaptive synaptic devices enable in‐sensor processing of complex illumination
scenes, while second‐order adaptive synaptic plasticity improves learning efficiency by …

Inorganic persistent luminescence (PersL) materials that emit self-sustained emissions after
the cessation of excitation have experienced rapid development in recent years. In …