Results 151 to 160 of about 796,772 (273)

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

Advanced 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, Roderick C. I. MacKenzie, Uli Würfel, Dieter Neher, Thomas Kirchartz, Carsten Deibel, Maria Saladina   +6 more
wiley   +1 more source

Does Extreme Wettability Matter: The Effect of Copper Wettability on Infection Spread through Hospital Surfaces. [PDF]

ACS Omega
Emelyanenko AM, Omran FS, Chernukha MY, Avetisyan LR, Tselikina EG, Putsman GA, Zyryanov SK, Emelyanenko KA, Boinovich LB.   +8 more
europepmc   +1 more source

Elucidating the Impact of Functional Additives on the Structure and Ion Dynamics of Hybrid Solid Electrolytes

Advanced Energy Materials, EarlyView.
Using multinuclear and multiscale solid‐state NMR, the bulk and interfacial structures of a LiI‐integrated PEO‐LiTFSI‐Li6PS5Cl hybrid solid electrolytes are elucidated, revealing LiI's dual role in enhancing bulk Li‐ion mobility and facilitating Li‐ion diffusion across the organic/inorganic interfaces.
Shengnan Zhang, Yuhang Li, Lars J. Bannenberg, Ming Liu, Marnix Wagemaker, Swapna Ganapathy   +5 more
wiley   +1 more source

Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning. [PDF]

Sci Rep
Li Z, Qiao D, Yang T, Wang J, Chen H.
europepmc   +1 more source

3SUM Problem in Linear-logarithmic Time Using Binary Compound Trees

The 3SUM problem was viewed from a singleton point of view for the past time.
openaire   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Diagnosis of epileptic seizures from electroencephalogram signals using log-Mel spectrogram and a deep learning CNN model

Heliyon
The traditional procedure of the electroencephalogram (EEG) examination is laborious, slow, and prone to many diagnostic mistakes, creating a need for automated systems capable of reliably detecting epileptic seizures or other significant neurological ...
Beaudelaire Saha Tchinda, Daniel Tchiotsop, Laurent Chanel Djoufack Nkengfack, René Tchinda   +3 more
doaj  

A pragmatic mixing model for the evaluation of powder flow properties of multicomponent pharmaceutical blends. [PDF]

Int J Pharm X
Yanes D, Shinebaum R, Papakostas G, Reynolds GK, Swainson SME.   +4 more
europepmc   +1 more source

Scandium Induced Structural Disorder and Vacancy Engineering in Li3Sb – Superior Ionic Conductivity in Li3−3xScxSb

Advanced Energy Materials, EarlyView.
A superionic conductivity of 42 mS cm−1 at 298 K is reported for Li2.55Sc0.15Sb, which exceeds the highest ionic conductivity reported for a solid Li‐ion conductor to date by 10 mS cm−1. In the series Li3−3xScxSb (0 < x ≤ 0.15), the gradual incorporation of Sc facilitates vacancy formation, converting pristine Li3Sb from an electrical to an ionic ...
Jingwen Jiang, Tobias Kutsch, Wilhelm Klein, Manuel Botta, Anatoliy Senyshyn, Robert J. Spranger, Volodymyr Baran, Leo van Wüllen, Hubert A. Gasteiger, Thomas F. Fässler   +9 more
wiley   +1 more source

Cryptographic key generation using deep learning with biometric face and finger vein data. [PDF]

Front Artif Intell
Gizachew Yirga T, Gizachew Yirga H, Addisu EG.   +2 more
europepmc   +1 more source