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Lawrence Livermore National Laboratory is developing a new diagnostic tool that can determine the quality of metal droplets and monitor liquid metal jetting prints in real time.
A Lawrence Livermore National Laboratory-led collaboration targeted at using machine learning to reduce defects and carbon emissions in steelmaking.
Researchers from Lawrence Livermore National Laboratory (LLNL) and their colleagues who help them commercialize technologies have won three national technology transfer awards this year. The trio of awards, from the Federal Laboratory Consortium represent the most national awards that LLNL has ever won in one year’s competition over the past 36 years.