Open Access

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The study investigates the microstructure evolution in the stir zone produced by the friction stir processing (FSP) of a heat-treated microalloyed Al-Mn-Cu alloy in the area subjected to the highest temperature, strain, and strain rate. The samples were studied using electron microscopy and atom probe tomography (APT) to obtain structural and chemical information from the macro to the nano scale. [...]

Green hydrogen is a key component of the transition to greenhouse gas neutrality, but its future uptake is highly sensitive to price dynamics. This study addresses a crucial research gap by quantifying price-elastic hydrogen demand within a greenhouse gas neutral, sector-coupled energy system for Germany. [...]

In the face of the rapid evolution of artificial intelligence (AI) and the increasing cost of energy in residential buildings, accurately predicting thermal loads has become crucial for sustainable construction practices. We present the use of artificial neural network (ANN) and convolutional neural network (CNN) models to predict the energy efficiency of residential buildings. [...]

Future greenhouse gas neutral energy systems will be dominated by renewable energy technologies providing variable supply subject to uncertain weather conditions. For this setting, we propose an algorithm for capacity expansion planning: We evaluate solutions optimized on a single years’ data under different input weather years, and iteratively modify solutions whenever supply gaps are detected. [...]

Spin-based phenomena are the central concept in the field of spintronics, where efficient spin current generation, spin-to-charge conversion, and spin transport are the key concepts for the development of next-generation electronic devices. With the extensive availability of femtosecond lasers a new research field of ultrafast spintronics has opened up, aiming to understand spin-transport on the ultrafast time scales. [...]