Results 161 to 170 of about 541,045 (194)

Tracking the topology of neural manifolds across populations. [PDF]

Proc Natl Acad Sci U S A
Yoon IHR, Henselman-Petrusek G, Yu Y, Ghrist R, Smith SL, Giusti C.   +5 more
europepmc   +1 more source

Optical Skyrmions with Tunable or Reconfigurable Topology Using Spin‐Decoupled Metaoptics

Laser &Photonics Reviews, EarlyView.
The work introduces advanced optical elements capable of generating and dynamically reconfiguring complex light patterns known as optical skyrmions. By precisely shaping light polarization at the nanoscale, a single engineered metasurface can generate and manipulate robust and tunable polarization textures in an efficient and scalable way.
Andrea Vogliardi, Daniele Bonaldo, Simone Dal Zilio, Vittorio Apolloni, Filippo Romanato, Gianluca Ruffato   +5 more
wiley   +1 more source

On the Global Practical Exponential Stability of h-Manifolds for Impulsive Reaction-Diffusion Cohen-Grossberg Neural Networks with Time-Varying Delays. [PDF]

Entropy (Basel)
Stamov G, Stamov T, Stamova I, Spirova C.   +3 more
europepmc   +1 more source

Multispectral Concentric Grafted Perfect Vector Vortex Beam

Laser &Photonics Reviews, EarlyView.
Multispectral structured light offers powerful opportunities for increasing information capacity. A multispectral concentric grafted perfect vector vortex beam is proposed to engineer topological charges and polarization. A metasurface can graft different perfect vector vortex beams across concentric spatial regions and extend this concept to ...
Guanchao Wang, Hammad Ahmed, Chunmei Zhang, Yu Wang, Xiuyou Han, Li Li, Xianzhong Chen   +6 more
wiley   +1 more source

Isolated steady solutions of the 3D Euler equations. [PDF]

Proc Natl Acad Sci U S A
Enciso A, Kepplinger W, Peralta-Salas D.
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Repurposing AI for protein interactions and dynamics: opportunities, limitations, and lessons. [PDF]

Front Bioinform
Ozdemir ES, Jang H, Nussinov R, Gursoy A, Keskin O.   +4 more
europepmc   +1 more source

Hodge decomposition of vector fields in Cartesian grids. [PDF]

SIGGRAPH Asia
Su Z, Tong Y, Wei G, Wei G.
europepmc   +1 more source

Structured Dynamics in the Algorithmic Agent. [PDF]

Entropy (Basel)
Ruffini G, Castaldo F, Vohryzek J.
europepmc   +1 more source