Results 201 to 210 of about 6,272,844 (429)
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale+6 more
wiley +1 more source
When to use simulated annealing for solving CVRP? A case study of fuel deliveries in Poland [PDF]
The paper addresses Capacitated Vehicle Routing Problem (CVRP) in the context of fuel delivery to gas stations. The CVRP aims to minimize total travel distance for a fleet with limited capacity. Fuel delivery, however, introduces unique complexities within the CVRP framework.
arxiv
Exploratory studies of high-efficiency advanced-fuel fusion reactors. Annual report, February 1977
Not Given Author
openalex +2 more sources
The Effect of Jet Mixing on the Combustion Efficiency of a Hot Fuel-Rich Cross-Flow [PDF]
Mohamed Boutazakhti+2 more
openalex +1 more source
Effectiveness and Welfare Impacts of Alternative Policies to Address Atmospheric Pollution in Urban Road Transport [PDF]
In this paper we compare the effectiveness and welfare effects of alternative fuel efficiency, environmental and transport policies for a given urban area. The urban transport activities are represented as a set of interrelated markets, one for each mode
Kurt Van Dender, Stef Proost
core
Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst
This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu+3 more
wiley +1 more source
Generative Deep Learning Framework for Inverse Design of Fuels [PDF]
In the present work, a generative deep learning framework combining a Co-optimized Variational Autoencoder (Co-VAE) architecture with quantitative structure-property relationship (QSPR) techniques is developed to enable accelerated inverse design of fuels.
arxiv
Backcasting energy saving and CO2 emission reductions by using feebates system in Japan [PDF]
After the Kyoto Conference (COP3), the Japanese transport sector was required to reduce carbon dioxide (CO2) emissions by 16% by 2010. The Japanese government has decided to improve the fuel economy standard in 2010 by improving it by an average of 22.8%.
Keiko Hirota+2 more
core
This study presents an electronic fine‐tuning (EFT) strategy to optimize the electronic structures of Ru species and single‐atom Zn sites by the virtue of layered nanosheets, significantly enhancing ORR and HER activities. Spectroscopic analysis and theoretical calculations uncover that this EFT effect breaks the ORR scaling limitation and positions ...
Tingyu Lu+12 more
wiley +1 more source