The Electric current density imaging technique (CDI) was used to monitor the dissolution of and ion migration from tablets of different acids in agar-agar gel. Conventional MRI cannot monitor these processes, since it can only show changes in the size of the tablet during the dissolving process. CDI traces the dissolved ions thanks to changes in conductivity.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Enhancing organic cathodes of aqueous zinc-ion batteries nitro group modification.
Chem Sci
January 2025
School of Chemistry and Chemical Engineering, Anhui University of Technology Ma'anshan 243032 Anhui China
Organic compounds present promising options for sustainable zinc battery electrodes. Nevertheless, the electrochemical properties of current organic electrodes still lag behind those of their inorganic counterparts. In this study, nitro groups were incorporated into pyrene-4, 5, 9, 10-tetraone (PTO), resulting in an elevated discharge voltage due to their strong electron-withdrawing capabilities.
View Article and Find Full Text PDFIrish residential heating demand profile dataset.
Data Brief
February 2025
Economic and Social Research Institute, Dublin, Ireland.
This data article describes the operation of gas and oil fuelled residential heating systems in Ireland. Based on almost 10,000 homes, the data presents information on the operation of domestic heating systems (whether turned on/off by the user), and the firing of the boiler during 2-hour slots across a period of two years ending in September 2021 by geographical region. The electrification of heating is government policy, with the ambition that hundreds of thousands of homes will switch from oil and gas fuelled residential heating to heat pumps.
View Article and Find Full Text PDFPrediction of energy consumption in four sectors using support vector regression optimized with genetic algorithm.
Heliyon
January 2025
Department of Electrical and Electronic Engineering, Bangladesh University of Business and Technology, Dhaka-1216, Bangladesh.
Effectively managing and optimizing energy resources to accommodate population growth while minimizing carbon emissions has become increasingly intricate. A proficient approach to this dilemma is accurately predicting energy usage and emissions across diverse sectors. This paper unveils a genetic algorithm (GA)-optimized support vector regression (SVR) model designed to (i) predict electricity generation, (ii) predict energy consumption in four primary sectors-residential, industrial, commercial, and agricultural, and (iii) estimate sector-specific carbon emissions.
View Article and Find Full Text PDFEnvironmental and Economic Assessment of Wind Turbine Blade Recycling Approaches.
ACS Sustain Resour Manag
January 2025
Sandia National Laboratories, Albuquerque, New Mexico 87123, United States.
Wind energy offers a low emission source of energy while also being among the cheapest forms of electricity generation in the United States. While most materials in a wind turbine can be recycled at the end of their life, large composite blades are often treated as waste, leading to potential strains on regional landfills, a loss of durable materials, and forfeiture of embodied energy. Numerous approaches exist for recycling composite wind blades at various levels of technological and commercial maturity.
View Article and Find Full Text PDFToward climate neutral data centers: Greenhouse gas inventory, scenarios, and strategies.
iScience
January 2025
Chair of Sustainable Engineering, Technische Universität Berlin, Berlin, Germany.
The climate impact of data centers is expected to increase due to rising demand for information and communication technology services. At the same time, the European Union aims for climate neutral data centers by 2030. To map potential developments of emissions associated with data centers to the year 2030, we develop a generic data center greenhouse gas (GHG) inventory in accordance with the GHG protocol.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!