Results 101 to 110 of about 1,420,176 (293)

The innovation impact of EU emission trading: findings of company case studies in the German power sector [PDF]

This paper provides a comprehensive analysis of how the European Emission Trading System (EU ETS) as the core climate policy instrument of the European Union has impacted innovation.
Schneider, Malte, Rogge, Karoline S., Hoffmann, Volker H.   +2 more
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

On-exchange and over-the-counter trading? Carbon abatement and capacity decisions in competing air-transport supply chains

Cleaner Logistics and Supply Chain
The carbon emission of air-transport industry becomes a global concern, urging the airlines to promote solutions through carbon trading mechanism and sustainable aviation fuel (SAF).
Lei Xu, Junwei Zhang, Peng Du
doaj   +1 more source

A Perspective of Evolution for Carbon Emissions Trading Market: The Dilemma between Market Scale and Government Regulation

Discrete Dynamics in Nature and Society, 2017
Which means are more effective for reducing carbon emission? Our paper argues the effect of the government regulation and the market trading on the carbon emission. Based on our model, we obtain three conclusions as follows.
Qi Zhu
doaj   +1 more source

The Ten-Year Rule: Allocation of Emission Allowances in the EU Emission Trading System [PDF]

In its guidance on National Allocation Plans (NAPs), the European Commission has discouraged Member States from adopting allocation methodologies that would provide incentives to firms affecting their compliance behavior.
Åhman, Markus, Kruger, Joseph, Burtraw, Dallas, Zetterberg, Lars   +3 more
core  

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Can auctions control market power in emissions trading markets. [PDF]

Using eight sessions (twenty-four ten-period markets) in a double ABA cross-over design, we demonstrate clear evidence of market power in double-auction emission trading markets (agents who are not constrained to only buy or sell).
Rob Godby, John Spraggon, Stuart Mestelman, R. Andrew Muller   +3 more
core  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

The energy conservation and emission reduction co-benefits of China's emission trading system. [PDF]

Sci Rep, 2023
Li C, Chen Z, Hu Y, Cai C, Zuo X, Shang G, Lin H.   +6 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source