Results 251 to 260 of about 139,732 (335)
Stochastic resonance in optical bistable systems: Amplification and generation of higher harmonics
Roland Bartussek +2 more
openalex +2 more sources
Optically confined gold nanorods exhibit cooperative light‐driven dynamics, forming mobile end‐to‐end dimers with orientation‐dependent propulsion. Using structured laser traps and an opto‐thermo‐hydrodynamic model, we uncover how optical binding, polarization‐induced torque, and near‐surface hydrodynamics govern their motion.
José A. Rodrigo, Tatiana Alieva
wiley +1 more source
"Stochastic Resonance" for Individual Cells. [PDF]
Riveline D, Lo Vecchio S.
europepmc +1 more source
Minimal background noise enhances neural speech tracking: Evidence of stochastic resonance
Björn Herrmann
openalex +1 more source
Stochastic Resonance Synergetics—Quantum Information Theory for Multidimensional Scaling
Milan Jovović
openalex +2 more sources
Controlling Collective Quasiparticle Dynamics Beyond Decoherence in Topological Interfaces
Gold nanoparticles placed above a deformed honeycomb plasmonic crystal couple to a chiral topological interface mode. The pseudospin‐split bands ψ+/ ψ− encode spin‐momentum locking, so emitters radiate directionally along the domain wall and share a common phase.
Fatemeh Davoodi
wiley +1 more source
The design and analysis of quartic double well potential with stochastic resonance for communication systems [PDF]
Nurhan Güneş
openalex
Noise is often viewed as something unfortunate and unavoidable, however with the development of Stochastic Resonance (SR) theory it has been shown to have beneficial effects in many non-linear systems. We have explored the SR phenomenon via numerical simulations of two such systems.
openaire +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Ion Activation Methods for Top‐Down Proteomics
ABSTRACT Mass spectrometry (MS) has emerged as a premier method used to characterize the sequences of proteins. Top‐down proteomics aims to capture the multiple sources of structural diversity reflected in proteins, such as those that arise from alternative RNA splicing events or the addition of post‐translational modifications. Tandem MS (i.e., MS/MS)
Jada N. Walker, Jennifer S. Brodbelt
wiley +1 more source

