Results 61 to 70 of about 6,174,615 (236)

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Great Expectatrics: Great Papers, Great Journals, Great Econometrics [PDF]

The paper discusses alternative Research Assessment Measures (RAM), with an emphasis on the Thomson Reuters ISI Web of Science database (hereafter ISI). The various ISI RAM that are calculated annually or updated daily are defined and analysed, including
Michael McAleer, Les Oxley, Chia-Lin Chang   +2 more
core   +2 more sources

Research Trends of Soil Mercury Pollution Based on the Bibliometric Analysis of 2014–2024 SCI Papers

Yankuang ceshi
In recent years, soil mercury pollution has become a global environmental problem, especially in countries with rapid development of industry like China. To analyze the current status of published papers and research hotspots in the field of soil mercury
Sheng AN, Fei LIU
doaj   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Analysis of characteristics of highly cited fund papers in published in 12 nursing core periodicals from 2012 to 2014 in clinical nursing

Huli yanjiu, 2016
To know about the development status quo and research focus of the high cited fund papers in clinical nursing research，and to provide reference for the journal editors to find out the quality source and improve the quality of journals.Methods：The method ...
陈琼, 程金莲, 董丽娟
doaj  

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Exploring the interdisciplinarity patterns of highly cited papers

, 2020
This study explores the relationship between interdisciplinarity and the citation impact of highly cited papers. In this paper, interdisciplinarity is investigated by comparing the dimensions of disciplinary diversity (variety, balance, and disparity ...
Chen, Shiji, Larivière, Vincent, Qiu, Jinping, Arsenault, Clément   +3 more
core   +1 more source

In Situ Lithium Nitridosilicate Interlayer via Reactive Anolyte Design for All‐Solid‐State Silicon Anodes

Advanced Materials, EarlyView.
Interfacial reactions in all‐solid‐state batteries are conventionally suppressed; here, they are designed. Vacancy‐rich β‐Li3N, acting as an anolyte, reacts controllably with silicon during composite anode fabrication, building a purpose‐made lithium nitridosilicate interlayer on every particle surface.
Tongtai Ji, Huanyao Ge, Luisa Gomes, Conan Weiland, Aswin kumar Anbalagan, Jochem Struppe, Jason Guo, Andrew L. Walter, Sanjeev Mukerjee, Huidong Dai   +9 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Crosstalk between gut microbiota and cancer chemotherapy: current status and trends

Discover Oncology
Background Chemotherapy is crucial in the management of tumors, but challenges such as chemoresistance and adverse reactions frequently lead to therapeutic delays or even premature cessation.
Shanshan Yang, Shaodong Hao, Hui Ye, Xuezhi Zhang   +3 more
doaj   +1 more source