Results 121 to 130 of about 5,525,400 (353)
An optimization model for zinc anodes centered on anion traction in a low‐concentration electrolyte system is proposed. The fluoride‐ion enriched interfacial layer on the zinc anode surface enhances the concentration of Zn2+ in a lateral direction through electrostatic forces, thereby facilitating horizontal zinc plating.
Yiyang Zhang+9 more
wiley +1 more source
Developent of stem taper equation using nonlinear mixed-effects modeling approach for Taurus fir
The Max and Burkhart segmented taper equation was fitted using nonlinear mixed-effects modeling techniques to account for within- and between-individual variation in Taurus fir (Abies cilicica Carr.) stem profiles.
Ramazan Özçelik, Emine Yiğit
doaj +1 more source
An Improved Rapidly-Exploring Random Trees Algorithm Combining Parent Point Priority Determination Strategy and Real-Time Optimization Strategy for Path Planning. [PDF]
Tian L+6 more
europepmc +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue+5 more
wiley +1 more source
On the encipherment of search trees and random access files [PDF]
Raymond Bayer+2 more
openalex +1 more source
Branching random walks on trees
Consider contact processes, branching random walks, and biased voter models, when the underlying graph is an infinite regular tree of degree \(d\) \((\geq 3)\). Continuing work of the reviewer and \textit{C. Newman} [Disorder in physical systems, Vol. in Honour of J. M. Hammersley 70th Birthday, 167-190 (1990; Zbl 0721.60121)] and \textit{R. Pemantle} [
Rinaldo B. Schinazi, Neal Madras
openaire +3 more sources
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
Random labelled trees and their branching networks [PDF]
Geoffrey Grimmett
openalex +1 more source
Multicritical continuous random trees
We introduce generalizations of Aldous' Brownian Continuous Random Tree as scaling limits for multicritical models of discrete trees. These discrete models involve trees with fine-tuned vertex-dependent weights ensuring a k-th root singularity in their generating function. The scaling limit involves continuous trees with branching points of order up to
Bouttier, Jérémie+2 more
openaire +5 more sources