Antifreeze proteins (AFPs) are found in different living organisms like plants, insects, and
fish. AFPs avoid the formation of ice crystals in these organisms and make them able to …

Accurate prediction of the melt pool geometry in laser-directed energy deposition (L-DED) is
crucial for ensuring product quality. Although machine learning methods have offered aid in …

Laser-based directed energy deposition using metal powder (DED-LB/M) offers great
potential for a flexible production mainly defined by software. To exploit this potential …

This study employs a deep learning (DL) based stochastic approach to comprehensively
interpret the effects of current intensity and velocity variations on temperature evolutions and …

To ensure consistent quality of additively manufactured parts, it is advantageous to identify
alloys which can meet performance criteria while being robust to process variations. Toward …