Results 211 to 220 of about 542,714 (302)

Unravelling the Secret of Sulfur Confinement and High Sulfur Utilization in Hybrid Sulfur‐Carbons

Advanced Materials, EarlyView.
Thermal condensation of inverse vulcanized sulfur‐carbon hybrids enables a bottom‐up sulfur confinement strategy, in which a protective carbon phase is progressively constructed around sulfur species. The resulting carbon nanodomains covalently tether sulfur chains and stabilize radical intermediates. This integrated architecture effectively suppresses
Tim Horner, Enis Oğuzhan Eren, Elif Begüm Yılmaz, Jiyong Kim, Ernesto Scoppola, Alexandros Vasileiadis, Nadezda V. Tarakina, Markus Antonietti, Paolo Giusto, Evgeny Senokos   +9 more
wiley   +1 more source

iMOE: prediction of second-life battery degradation trajectory using interpretable mixture of experts. [PDF]

Nat Commun
Huang X, Tao S, Liang C, Tang Y, Chen J, Shi J, Li Y, Xia B, Zhou G, Zhang X.   +9 more
europepmc   +1 more source

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Sustainable sizing, dispatch, and resilience planning of hybrid microgrids using Arctic Puffin Optimization. [PDF]

Sci Rep
Yakout AH, Mashaal AS, Alfons AM, Metwaly AM, Hasanien HM, Sabry W, Ahmed M.   +6 more
europepmc   +1 more source

Porosity Engineering of MXene Architectures: Toward High‐Performance Aqueous Electrochemical Energy Storage

Advanced Materials, EarlyView.
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu, Jieming Chen, Xue Peng, Huilin Zhang, Ling Kang, Ming Ma, Zhaoling Li, Yusuke Yamauchi, Bin Ding   +8 more
wiley   +1 more source

Robustness of CNN-augmented sequential models for Li-ion battery RUL prediction under data scarcity. [PDF]

PLoS One
Zhang J.
europepmc   +1 more source

Soft Ionic and Electronic Triboelectric Nanogenerators: Toward Attachable and Implantable Biomedical Applications

Advanced Materials, EarlyView.
This review provides an overview of triboelectric nanogenerator (TENG)–based biomedical applications by classifying studies into electronic and ionic systems across attachable and implantable platforms. It summarizes key material choices, device structures, and working mechanisms that characterize current TENG‐based research, and outlines six future ...
Kyongtae Choi, Jimin Park, Won Jun Song, Soohwan An, Seonggyu Choe, Byeong‐Rak Keum, Min Young Kim, Dae Hee Hwang, Young‐Geun Park, Sung‐Won Kim, Sangyul Baik, Gwang‐Bum Im, Younghoon Lee   +12 more
wiley   +1 more source

Machine learning-based MPPT integration with quadratic double-extended DC-DC converter for grid-connected PV-powered BLDC electric vehicles. [PDF]

Sci Rep
Karthikeyan D, Shukla VK, Rajesh K.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Modeling and simulation of dual-battery FANET system using MADRL for energy optimization. [PDF]

Sci Rep
Mary AS, Kumar TSP.
europepmc   +1 more source