Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
MXene‐Based Flexible Memory and Neuromorphic Devices
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li +13 more
wiley +1 more source
Photodegradable Hydrogels for On‐Demand Modeling of Age‐Related Spatiotemporal ECM Deformation
A light‐tunable PEG hydrogel enables on‐demand, spatiotemporal modeling of drusen‐like ECM bulges in the aging outer retina. By precisely controlling bulge size, the platform reveals how retinal pigment epithelium morphology adapts to topographical changes without disrupting actin cytoskeleton or polarity, effectively mimicking early ageing before ...
Felix Reul +8 more
wiley +1 more source
Constraint Decoupled Latent Diffusion for Protein Backmapping. [PDF]
Han X +5 more
europepmc +1 more source
Do We Really Know Why Carbon Nanotubes Grow?
The CNT growth mechanism is still debated. We propose a heterogeneous (2D) classical nucleation framework comparing pathways for graphenic patches, caps, and full CNTs. Despite its simplicity, it rationalizes key trends, including the correlation between catalyst particle size and CNT diameter.
Nicola Verziaggi +6 more
wiley +1 more source
The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems. [PDF]
Varley TF +3 more
europepmc +1 more source
GatorST: A Versatile Contrastive Meta‐Learning Framework for Spatial Transcriptomic Data Analysis
GatorST learns spatially informed embeddings for spatial transcriptomics by coupling two‐hop subgraph graph convolutions with cluster‐aware pseudo‐label supervision and episodic contrastive meta‐learning. The framework captures neighbor‐level topology and tissue‐wide expression semantics without heavy augmentations, delivering robust representations ...
Zhenhao Zhang +5 more
wiley +1 more source
Artificial intelligence as a surrogate brain: bridging neural dynamical models and data. [PDF]
Zhang Y +8 more
europepmc +1 more source
Quantum State‐Resolved Photodissociation Dynamics Study of Transition‐Metal Carbonyl and Nitrosyl
State‐resolved scattering measurements provide experimental visualization of nuclear motions in reacting molecules. Carbonyls and nitrosyls are typical ligands in most of the transition‐metal complexes, which undergo dissociation upon visible and ultraviolet photoexcitation.
Keigo Nagamori +2 more
wiley +1 more source

