Results 251 to 260 of about 500,399 (326)

Determining Exciton Diffusion Length in Organic Semiconductors: Unifying Macro‐ and Microscopic Perspectives

open access: yesAdvanced Energy Materials, EarlyView.
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

Superspreading and the evolution of virulence. [PDF]

open access: yesPLoS Comput Biol
O'Neill X   +5 more
europepmc   +1 more source

Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Organic photovoltaics are a promising solar cell technology, but even the record devices with 20% efficiency have significant fill factor losses due to low active layer conductivities. In this Perspective, the authors describe the origin of these losses, discuss experimental methods for their quantification, and explain how to minimize them to optimize
Chen Wang   +6 more
wiley   +1 more source

Mechanistic Insights into Ionic Conduction in Lead Halide Perovskites and Perovskite‐Inspired Materials

open access: yesAdvanced Energy Materials, EarlyView.
This study provides mechanistic insights into ionic conduction in lead halide perovskites (LHPs) and perovskite‐inspired materials (PIMs). By comparing ionic conduction in PIMs with the well‐studied LHPs, correlations are established between ionic transport, anomalous device kinetics, and operational stability.
Ramesh Kumar   +13 more
wiley   +1 more source

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

Challenges and Prospects of Alkali Metal Sulfide Cathodes Toward Advanced Solid‐State Metal‐Sulfur Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review summarizes the working mechanisms of solid‐state batteries employing alkali‐metal sulfides as cathode material. The cathodes, anodes, electrolytes, interfaces, and functional layers have been illustrated in depth. Advanced characterizations and outlooks for alkali metal sulfides‐based solid‐state batteries are elaborated in detail to guide ...
Xupeng Xu   +13 more
wiley   +1 more source

Home - About - Disclaimer - Privacy