Results 111 to 120 of about 199,356 (251)
Exciton diffusion length in organic semiconductor films is determined from encounter/annihilation rates. Non‐normalized exciton densities and proper intrinsic lifetime reference avoid over‐parametrization of the fits. Monte Carlo Simulation of individual molecule‐to‐molecule hops reproduce these results (②) when matching lattice constant and hoping ...
Wenchao Yang+12 more
wiley +1 more source
High‐voltage cycling of layered alkali transition metal oxides in Li‐ and Na‐ion cells increases energy density but diminishes lifetime. A novel XRD‐analysis method, centered on the stacking factor “z”, is developed to quantify the stacking fractions in the OP hybrid structure.
Libin Zhang+3 more
wiley +1 more source
An aqueous potassium‐ion battery using vanadium hexacyanoferrate (VHCF) as the cathode and graphite as the anode is presented. During charge/discharge, K+ ions shuttle between electrodes through the electrolyte, enabling energy storage. The VHCF material demonstrates high capacity (≈121 mAh g−1), fast kinetics, and eco‐friendliness, making it a ...
Nilasha Maiti+10 more
wiley +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó+3 more
wiley +1 more source
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Vertex covers and sensor networks
We consider algebraic developments of graph theory through suitable applications in real connection problems. We investigate ideals of vertex covers for the edge ideals associated to a significative class of connected graphs.
Imbesi, Maurizio, La Barbiera, Monica
core
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi+7 more
wiley +1 more source
Fault-Tolerant Metric Dimension in Carbon Networks
In this paper, we study the fault-tolerant metric dimension in graph theory, an important measure against failures in unique vertex identification. The metric dimension of a graph is the smallest number of vertices required to uniquely identify every ...
Kamran Azhar, Asim Nadeem, Yilun Shang
doaj +1 more source
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen+4 more
wiley +1 more source