Results 251 to 260 of about 500,399 (326)
Editorial: Forward and inverse solvers in multi-modal electric and magnetic brain imaging: theory, implementation, and application. [PDF]
Medani T +4 more
europepmc +1 more source
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]
O'Neill X +5 more
europepmc +1 more source
Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells
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
Development of a Computerized Adaptive Assessment and Learning System for Mathematical Ability Based on Cognitive Diagnosis. [PDF]
Zhang Y, Zhang L, Zhang H, Wu X.
europepmc +1 more source
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
Accurate Prediction of Mechanical Property of Organic Crystals Using Molecular Dynamics-Based Nanoindentation Simulations. [PDF]
Elgengehi SM +5 more
europepmc +1 more source
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
Controlled bidirectional teleportation of unknown single-particle states by using an arbitrary high-dimensional entangled state. [PDF]
Lei H, Tang J, Peng J.
europepmc +1 more source
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

