Results 61 to 70 of about 220,387 (295)
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Emergence and characterization of attraction in a dynamic Hubbard model
The Dynamic Hubbard Model (DHM) has been introduced as a framework for the electron-hole asymmetry observed in materials like high-temperature superconductors.
Fatih Doǧan
doaj +1 more source
Temporal Cavity Soliton Interaction in Passively Mode-Locked Semiconductor Lasers
Weak interactions of temporal cavity solitons resulting from gain saturation and recovery in a delay differential model of a long cavity semiconductor laser were studied numerically and analytically using an asymptotic approach.
Andrei G. Vladimirov
doaj +1 more source
Attractive-repulsive interaction in coupled quantum oscillators
We study the emergent dynamics of quantum self-sustained oscillators induced by the simultaneous presence of attraction and repulsion in the coupling path. We consider quantum Stuart-Landau oscillators under attractive-repulsive coupling and construct the corresponding quantum master equation in the Lindblad form.
Bulti Paul +2 more
openaire +3 more sources
The attraction–repulsion balance of alkyl groups was demonstrated in an intramolecular conformational equilibrium system. The contribution of attractive dispersion is crucial.
Mo Xie, Wei Lu
core +1 more source
The liposome nanoreactor method enables uniform metal nanoparticle synthesis using the interior as a reaction environment. We demonstrate that peptide sequences and lipid compositions act as a functional molecular switch to control reaction environments in liposome nanoreactors.
Yuya Abe +6 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
A capillary interaction between floating objects and adjacent walls, which is known as “Cheerios effect”, is a common phenomenon that generates capillary attraction or repulsion forces between them depending on their wettabilities, densities, geometries,
Junqi Yuan, Jian Feng, Sung Kwon Cho
doaj +1 more source
Aggregation Pattern Transitions by Slightly Varying the Attractive/Repulsive Function [PDF]
Among collective behaviors of biological swarms and flocks, the attractive/repulsive (A/R) functional links between particles play an important role. By slightly changing the cutoff distance of the A/R function, a drastic transition between two distinct aggregation patterns is observed.
Perc, Matjaz +5 more
openaire +5 more sources
An attraction–repulsion transition of force on wedges induced by active particles
For two anti-parallel wedges in an active bath, a transition from long-range repulsion to long-range attraction occurs by varying the apex angle.
Linli He +4 more
core +1 more source

