Results 101 to 110 of about 31,485 (291)

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Does the Carbon Emission Trading Pilot Policy Enhance Carbon Reduction Efficiency?

Sustainability
The creative breakthroughs in policy implementation by China hold essential practical importance for promoting global sustainability. The carbon emission trading (CET) pilot policy initiated in 2011 provides a quasi-natural experimental setting to investigate the dual impacts of market-incentivized environmental regulation on corporate carbon emissions
Yin Wang, Wanzong Wu
openaire   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Choice experiments on land managers' participation in environmental programs: A systematic review and meta‐analysis of estimate validity

American Journal of Agricultural Economics, EarlyView.
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva, Angel Perni, Jesus Barreiro‐Hurle   +2 more
wiley   +1 more source

Impact of carbon emission trading on urban green innovation: empirical evidence from China’s carbon emission trading pilot policy

Frontiers in Environmental Science
In the face of global climate change challenges, China’s implementation of the carbon emission trading (CET) pilot policy has provided new empirical research opportunities. Based on a dataset covering 281 Chinese cities from 2005 to 2021, this paper employs econometric models to conduct an in-depth analysis of the policy’s impact on urban green ...
Kun Tian, Duanqiang Zhai, Duanqiang Zhai, Shuo Han   +3 more
openaire   +2 more sources

Sustainable Palm Oil Extraction and Trends in the Use of Green Technologies: State‐of‐the‐Art and Future Directions

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Palm oil, which is extracted from the mesocarp of the fruit of the Elaeis guineensis Jacq. palm tree, is the most widely produced vegetable oil in the world. The extraction of this substance typically utilizes the conventional pressing method, a technique that is advantageous due to its low operating cost and simplified process.
Constantino Lucas Queta, Alessandra Lopes de Oliveira, Aline Silva Mello Cesar   +2 more
wiley   +1 more source

Advancements in CO2 Capture Technologies: A Review of Amine Absorption and Alternative Methods for Post‐Combustion Integration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Carbon capture technologies are poised to become one of the primary focuses regarding the achievement of net‐zero emissions by the year 2050. In these technologies, particular attention is given to post‐combustion CO2 capture, which is more easily implemented at existing power stations and other industries.
Satyajit Mukherjee, Ashish Kumar, Mayurkumar P. Patil, Rohit B. Meshram   +3 more
wiley   +1 more source

Sustainable Manufacturing Platforms for Closed‐Cycle Bioeconomy Applications

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The transition to a circular bioeconomy requires innovative production platforms that prioritize sustainability, resource efficiency, and waste minimization. Organic waste from agriculture, aquaculture, and food production represents an underutilized feedstock for biomanufacturing, contributing to a circular economy.
Yelizaveta Chernysh, Ruslan Ostroha, Hynek Roubík   +2 more
wiley   +1 more source

A long-term and heterogeneous study on the impact of carbon emission trading policy on financial performance

Carbon Management
China’s “14th Five-Year Plan“ sets ambitious goals to peak carbon emissions by 2030 and achieve carbon neutrality by 2060. Since 2013, China has been piloting carbon emission trading policies to internalize environmental externalities through market ...
Ran Wang, Hanwen Zhang, Yin Feng, Jing Wang, Tianyue Yang   +4 more
doaj   +1 more source