Results 201 to 210 of about 12,379 (262)
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
Revealing the topological nature of entangled orbital angular momentum states of light. [PDF]
de Mello Koch R +5 more
europepmc +1 more source
Factorization norms and an inverse theorem for MaxCut. [PDF]
Balla I, Hambardzumyan L, Tomon I.
europepmc +1 more source
Algebraic Approach to Maximum Likelihood Factor Analysis. [PDF]
Fukasaku R +3 more
europepmc +1 more source
Adaptive Tensor Train Metadynamics for High-Dimensional Free Energy Exploration. [PDF]
Strand NE, Yang S, Khoo Y, Dinner AR.
europepmc +1 more source
Geometric and arithmetic characterization of [Formula: see text]-module flatness with applications to tensor products. [PDF]
Tang JG, Lei HR, Liu M, Peng JY.
europepmc +1 more source
The Category of Anyon Sectors for Non-Abelian Quantum Double Models. [PDF]
Bols A +3 more
europepmc +1 more source

