Chaolong Yang

Room‐temperature phosphorescence (RTP) materials have garnered significant attention for their unique optical properties in information encryption and bioimaging. While triplet‐singlet Förster resonance energy transfer strategies have been employed to endow traditional fluorescent dyes with afterglow, they suffer from complex multi‐component systems and strict donor‐acceptor matching requirements. Here, we report a novel and universal strategy to achieve direct, long‐lived RTP emission from commercial rhodamine dyes (rhodamine B (RhB), SRB, Rh6G, Rhodamine 110) by simply doping them into a newly synthesized rigid phosphorus‐containing polymer (DOBP). The robust rigid network of DOBP effectively immobilizes the dye molecules and shields them from oxygen, drastically suppressing the non‐radiative deactivation of triplet excitons. Remarkably, the DOBP‐RhB film exhibits an intense orange‐red afterglow with a lifetime of 203.29 ms under ambient conditions, which is approximately 29 times longer than that of RhB at 77 K, demonstrating superior confinement over cryogenic conditions. This strategy produces tunable afterglow colors ranging from orange‐red to orange‐yellow without any complex energy transfer processes. This work provides a facile, practical route to transform commercially available fluorescent dyes into high‐performance RTP materials, addressing the challenge of color monotonicity and paving the way for advanced anti‐counterfeiting and multi‐level information encryption applications.

Organic room-temperature phosphorescence (RTP) materials have rapidly emerged as a significant research area owing to their efficient triplet-state transitions, long-lived emission lifetimes, and oxygen-sensitive behavior. These features enable diverse applications in optoelectronics, biological imaging, information encryption, and anti-counterfeiting technologies. However, no review has comprehensively summarized the advances in this field. This review begins by outlining the fundamental mechanisms underlying RTP, with emphasis on intersystem crossing, triplet-state stabilization, and suppression of nonradiative decay pathways, followed by molecular design strategies for achieving efficient and long-lived RTP, particularly those involving aggregation modulation. Next, recent advances are surveyed across various material platforms, including single- and multi-component small molecules, dendrimers, polymers, supramolecular assemblies, and organic porous frameworks, in both crystalline and amorphous forms. Moreover, emerging multifunctional systems, such as clusterization-triggered phosphorescence, circularly polarized phosphorescence, and stimuli-responsive materials, are highlighted. Third, representative applications in anti-counterfeiting, sensing, bioimaging, biotherapy, and optoelectronic devices are critically examined to demonstrate the potential of RTP materials in next-generation smart systems. Finally, key challenges are addressed, including the trade-off between quantum yield and lifetime, oxygen quenching in biological environments, and the need for mechanistic insight via advanced spectroscopic and theoretical methods. In addition, future directions are proposed, such as developing color-tunable near-infrared RTP for deep-tissue imaging and integrating RTP into multifunctional device platforms.

Room temperature phosphorescence (RTP) polymer materials, known for their unique modifiability and ease of preparation, hold broad potential for applications in flexible electronics and information encryption. However, polymers make their RTP properties with high quantum yields (Φ _P ) but short phosphorescence lifetimes (τ _P ), or long τ _P but low Φ _P due to their flexible structure. Herein, we propose a novel in situ cross‐linked self‐assembly strategy of flexible weak RTP polymers into rigid polymer microspheres with long τ _P , high Φ _P and high brightness. The maximum τ _P and Φ _P of the RTP microsphere (PM1) reach as high as 2020 ms and 34.1%, with the phosphorescence brightness as high as 655.1 mcd/m ² , which are 6.4‐, 5.3‐, and 10.2‐fold higher than those of its flexible intrinsic polymer (P1), respectively, and also considerably superior to those of the previously intrinsic polymer RTP materials. Moreover, the cross‐linked polymer microspheres exhibit excellent stability in strong acids and bases, and even after 30 days in water. The RTP microsphere‐doped polymer film (PM1‐PVA) presents highly selective recognition of aniline and a detection sensitivity as low as 3.7 × 10 ^{− 8} m .

Rare‐earth long persistent luminescence (LPL) materials with unique light‐storage properties show great promise for diverse applications. However, modifying the optical properties of such materials is extremely challenging due to their inherent characteristics. Here, we propose a coordination modification strategy that not only deepens the trap depth but also enhances the light‐capturing capability of rare‐earth LPL materials by introducing organic ligands as an antenna. Unlike previous single‐case demonstrations, this strategy is systematically validated across multiple LPL hosts with different afterglow colors, including green (SrAl ₂ O ₄ :Eu ²⁺ , Dy ³⁺ ), red (Sr _0.75 Ca _0.25 S:Eu ²⁺ ), and blue (SrSiO ₃ :Eu ²⁺ , Dy ³⁺ ). Experimental results demonstrate that the afterglow intensity, brightness, and duration of the organic–inorganic hybrid LPL materials have been significantly enhanced compared to the original LPL materials. Based on this performance breakthrough, we further demonstrate the application potential of these materials in diverse scenarios, including flexible displays, intelligent sensors, and multi‐level information encryption. This work not only provides an efficient method for enhancing the performance of multi‐color long persistent luminescence materials but also offers new design insights for developing novel organic–inorganic hybrid luminescent systems.

Audio-driven single-image talking portrait generation plays a crucial role in virtual reality, digital human creation, and filmmaking. Existing approaches are generally categorized into keypoint-based and image-based methods. Keypoint-based methods effectively preserve character identity but struggle to capture fine facial details due to the fixed points limitation of the 3D Morphable Model. Moreover, traditional generative networks face challenges in establishing causality between audio and keypoints on limited datasets, resulting in low pose diversity. In contrast, image-based approaches produce high-quality portraits with diverse details using the diffusion network but incur identity distortion and expensive computational costs. In this work, we propose KDTalker, the first framework to combine unsupervised implicit 3D keypoint with a spatiotemporal diffusion model. Leveraging unsupervised implicit 3D keypoints, KDTalker adapts facial information densities, allowing the diffusion process to model diverse head poses and capture fine facial details flexibly. The custom-designed spatiotemporal attention mechanism ensures accurate lip synchronization, producing temporally consistent, high-quality animations while enhancing computational efficiency. Experimental results demonstrate that KDTalker achieves state-of-the-art performance regarding lip synchronization accuracy, head pose diversity, and execution efficiency.Our codes are available at https://github.com/chaolongy/KDTalker.