Results 131 to 140 of about 6,984 (280)

Charge Transport in All‐Inorganic CuInSe2 Nanocrystal Transistors: Linking Material Design and Device Performance

open access: yesAdvanced Electronic Materials, EarlyView.
This work explores how colloidal CuInSe2 nanocrystals form functional field‐effect transistors when their native ligands are replaced with short inorganic species that promote charge transport. By systematically adjusting nanocrystal dimensions, surface treatments, film characteristics, and device architecture, the study maps the resulting electronic ...
Nadia Günther   +8 more
wiley   +1 more source

Numerical quadrature methods for singular and nearly singular integrals

open access: yes, 2001
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis is concerned with the development, design, and analysis of simple and efficient numerical quadrature methods for integrals on finite intervals ...
Chunrungsikul, S.   +1 more
core  

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Readily Tunable Surface Potential by Functionalizing Pentacene with Dipole Monolayers

open access: yesAdvanced Electronic Materials
The surface potential of a prototypical organic semiconductor, pentacene, is chemically modified by the addition of a dipole monolayer on top of the thin film. Changes are afforded by reacting the topmost layer of pentacene to generate the monolayer, and
Matthew C. Williams   +4 more
doaj   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun   +6 more
wiley   +1 more source

A preconditioner for the Helmholtz equation with perfectly matched layer

open access: yes, 2006
This paper discusses an iterative method for solving the Helmholtz equation with the perfectly matched layer (PML). The method consists of an outer and inner iteration process. The inner iteration is used to approximately solve a preconditioner, which in
Erlangga, Y.A. (author)
core  

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang   +6 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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