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Tatiana Lazovskaya, Dmitriy Tarkhov, Maria Chistyakova, Egor Razumov, Anna Sergeeva and Tatiana Shemyakina
The article presents the development of new physics-informed evolutionary neural network learning algorithms. These algorithms aim to address the challenges of ill-posed problems by constructing a population close to the Pareto front. The study focuses o...
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Philipp A. Trotter, Roy Maconachie, Marcelle C. McManus
Southern Africa?s electrification is at odds with United Nations goals to provide modern energy for all by 2030. Electricity planning, a crucial tool to optimally match future supply and demand, has largely focused on minimising costs in southern Africa,...
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Sigrun Matthes, Volker Grewe, Katrin Dahlmann, Christine Frömming, Emma Irvine, Ling Lim, Florian Linke, Benjamin Lührs, Bethan Owen, Keith Shine, Stavros Stromatas, Hiroshi Yamashita and Feijia Yin
Comprehensive assessment of the environmental aspects of flight movements is of increasing interest to the aviation sector as a potential input for developing sustainable aviation strategies that consider climate impact, air quality and noise issues simu...
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