Results 131 to 140 of about 3,649,356 (308)

The impact of China’s digital economy industry development and its structural indicators on carbon emission intensity

Frontiers in Environmental Science
IntroductionThe development of the digital economy has a profound impact on industrial economics. The paper conducted an analysis of how China's digital economy and its structural indicators impact carbon emission intensity.
Yitong Wang, Yongke Yuan, Xiao Qian, Yuanying Chi   +3 more
doaj   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems
An increasing number of individuals, companies and organizations are interested in computing and minimizing the carbon emissions associated with their real-time electricity consumption. To achieve this, they require a carbon signal, i.e. a metric that defines the real-time carbon intensity of their electricity supply.
Joseph Gorka, Noah Rhodes, Line Roald
openaire   +3 more sources

UNDERSTANDING LONG-TERM ENERGY USE AND CARBON DIOXIDE EMISSIONS IN THE USA [PDF]

We compile a database of energy uses, energy sources, and carbon dioxide emissions for the USA for the period 1850-2002. We use a model to extrapolate the missing observations on energy use by sector. Overall emission intensity rose between 1850 and 1917,
Richard S.J. Tol, Stephen W. Pacala, Robert H. Socolow   +2 more
core  

Digital technological innovation and urban carbon emission intensity: a nonlinear path toward sustainability

Frontiers in Environmental Science
With the advancement of sustainable development goals, digital technological innovation has emerged as a critical pathway for mitigating urban carbon emission intensity.
Shujing Xu, Shujing Xu, Jiapeng Li, Ji Ya, Han Li, Han Li, Donglai Xia, Song Zhang   +7 more
doaj   +1 more source

Carbon intensity of global crude oil trading and market policy implications. [PDF]

Nat Commun, 2023
Dixit Y, El-Houjeiri H, Monfort JC, Jing L, Zhang Y, Littlefield J, Long W, Falter C, Badahdah A, Bergerson J, Speth RL, Barrett SRH.   +11 more
europepmc   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

Advanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller, Steffen Gabsa, Werner Homberg, Guido Grundmeier   +3 more
wiley   +1 more source

Comment on ‘Reappraisal of paths to decarbonising British electricity generation in 2030’

Environmental Research: Energy
Electrifying transport and heat are central to climate change mitigation, as electricity is unequivocally lower carbon than burning fuels in cars, boilers and furnaces.
Iain Staffell, Richard Lowes, Daniel Mehlig, Jan Rosenow   +3 more
doaj   +1 more source

Effects of transport-carbon intensity, transportation, and economic complexity on environmental and health expenditures. [PDF]

Environ Dev Sustain, 2023
Hussain Z, Marcel B, Majeed A, Tsimisaraka RSM.   +3 more
europepmc   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source