Ultra-transparent β-Ga 2O 3:Cr 3+ glass-ceramics enabling high-efficiency true-transmission near-infrared light-emitting diodes
Source abstract
Abstract
Near-infrared phosphor converted light-emitting diodes (NIR pc-LEDs), one of the most promising NIR light sources, have garnered significant attention owing to their compact structure, long lifetime and energy conservation. Despite these advantages, commercial NIR pc-LEDs employing pseudo-transmission configurations -where NIR phosphor and silicone composites are directly coated on blue LED chips-suffer from critical limitations in thermal management that severely deteriorates their NIR output performance. To address these intrinsic limitations, we developed an oxygen-coordination-competitive crystallization strategy to engineer high-transparency β-Ga2O3:Cr3+ glass-ceramics (GC). This strategy leveraged the strong oxygen affinity of Ga3+ ions, which during thermal processing drove the directional migration and recombination of Ga3+ and O2- ions within the isolated [GaO4] tetrahedral network. This controlled phase evolution enabled localized crystallization of β-Ga2O3:Cr3+nanocrystals while maintaining high-transparency. The optimized β-Ga2O3:Cr3+GC ( 0.4 mm thickness) achieved remarkable 81.2% NIR transmittance, approaches internal quantum efficiency (IQE≈100%) and high thermal stability (89%@423 K). When employing this high-transparency β-Ga2O3:Cr3+ GC as NIR conversion material, NIR GC converted LEDs (GCc-LEDs) achieved 568 mW NIR output power at 500 mA drive current with a photoelectric conversion efficiency of 13%. The demonstrated performance metrics of NIR GCc-LEDs positioned this technology as an ideal NIR illumination source for next-generation point-of-care diagnostics, intelligent night vision systems, and non-destructive testing applications.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Ga2O3 and related materials · Advanced Photocatalysis Techniques · Luminescence Properties of Advanced Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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