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Researchers turn to 3D printing to produce 17-4 PH steel for the first time

A group of researchers, including scientists from Argonne National Laboratory (ANL), has discovered a means to consistently manufacture 17-4 PH steel using 3D printing processes while keeping all of the material's high-value properties.

Argonne researchers develop AI approach to detect flaws of 3D-printed parts

A research team led by the US Department of Energy’s (DOE) Argonne National Laboratory and the University of Virginia (UVA) has developed various imaging and machine-learning techniques to detect and predict the formation of pores in 3D-printed metals in real time with near-perfect accuracy.
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Smarter energy decisions: GridBeyond unveils AI-powered Bid Optimiser in Australia

As Australia’s energy transition accelerates, businesses participating in the National Electricity Market (NEM) are facing growing challenges in managing their energy assets efficiently.