Results 221 to 230 of about 39,352 (292)

High‐Performance Noble‐Metal‐Free Perovskite Solar Cells Enabled by MoOX/Cr/Al Multilayer Electrodes

Advanced Energy Materials, EarlyView.
Cost‐effective perovskite solar cells (PSCs) are developed using a noble‐metal‐free MoOX/Cr/Al multilayer electrode. The devices achieve a power conversion efficiency (PCE) of 25.6%, competitive with that of Au‐based devices (26.3%), and a 25.5 cm2 mini‐module shows 21.3% PCE.
Wooyeon Kim, Soyeon Kim, In Choi, Seoyeong Lee, Subin Yu, Young Yun Kim, Bonkee Koo, Min Jae Ko   +7 more
wiley   +1 more source

Highly Sensitive Non-Dispersive Infrared Gas Sensor with Innovative Application for Monitoring Carbon Dioxide Emissions from Lithium-Ion Battery Thermal Runaway. [PDF]

Micromachines (Basel)
Luo L, Chen J, Hui AG, Liu R, Zhou Y, Liang H, Wang Z, Luo H, Fang F.   +8 more
europepmc   +1 more source

Atomistic Insights Into Lithium Alloying and Crystallization at Metal Interlayers in Zero‐Excess Lithium Batteries

Advanced Energy Materials, EarlyView.
Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr., Nicolas Rospars, Mohammed Srout, Matthew K. Sharpe, Pablo Hernández‐Martín, Callum D. McAleese, Satheesh Krishnamurthy, Tao Chen, Celia Polop, Andrea Ingenito, Qiong Cai   +10 more
wiley   +1 more source

Simulation of Dispersion and Explosion Characteristics of LiFePO₄ Lithium-Ion Battery Thermal Runaway Gases. [PDF]

ACS Omega
Zhang M, Yang K, Zhang Q, Chen H, Fan M, Geng M, Wei B, Xie B.   +7 more
europepmc   +1 more source

Self‐Heating and Thermal Gradient in Solid‐State Batteries: Friend or Foe?

Advanced Energy Materials, EarlyView.
This work investigates the role of self‐heating and thermal gradients derived from the kinetics/transport interactions within the cathode microstructure, electrode architecture, and operating regimes, thus encouraging a mechanism‐centric design of anode‐free solid‐state batteries for next‐generation high‐power applications.
Abhinand Ayyaswamy, Bairav S. Vishnugopi, Partha P. Mukherjee   +2 more
wiley   +1 more source

Suppressing Dendrite Formation through Au‐Driven Interfacial Engineering for Solid‐State Lithium‐Metal Batteries

Advanced Energy Materials, EarlyView.
A thin gold nanolayer on lithium metal enables stable and uniform lithium plating in solid‐state batteries, enabling nearly 1 year and 11 months of continuous operation. The conductive coating lowers interfacial resistance, suppresses dendrite growth, and improves cycling stability, attributed to homogeneous deposition of Li+ on the gold layer ...
Natalia Voronina, Seyo Oh, Bibin Jose, Jongchan Park, Sun Kim, Jinhong Park, Kwang Heo, Jae‐Hong Lim, Chan‐Woo Lee, Payam Kaghazchi, Seung‐Taek Myung   +10 more
wiley   +1 more source

Comparative study on the thermal runaway characteristics of Li(Ni_xCo_yMn_z)O₂ batteries. [PDF]

Heliyon
Wei N, Zhang F, Zhang W, Li X.
europepmc   +1 more source

A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
A component‐resolved lithium inventory framework quantitatively tracks Li redistribution across the cell in anode‐free NMC622||Cu pouch cells throughout cycling. Three sequential degradation stages are identified: formation‐driven cathode Li depletion, midlife inactive Li0 accumulation, and late‐stage runaway SEI thickening. The cathode, as the sole Li
Wurigumula Bao, Alex Liu, Thomas S. Marchese, Yuanlong Bill Zheng, Weikang Li, Dhevathi Rajan Rajagopalan Kannan, Vallabha Rao Rikka, Vinay Premnath, Judith Jeevarajan, Ying Shirley Meng   +9 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Thermal Runaway of Lithium Batteries

, 2013
Bessler, Wolfgang, Tanaka, Nanako, Döring, Harry, Danzer, Michael, Mehne, Julian, Nowak, Wolfgang   +5 more
openaire   +1 more source