Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting from Notre Dame, Indiana, by NewsRx journalists, research stated, "Additive manufacturing (AM) is rapidly revolutionizing modern manufacturing with recent progress in advanced printing methods and improved properties of printed materials. However, traditional AM methods are limited by their inputoriented nature, which demands tedious trial-and-error tuning of printing parameters to achieve desired output properties." Funders for this research include National Science Foundation (NSF), United States Department of Energy (DOE). The news correspondents obtained a quote from the research from the University of Notre Dame, "Here, an output-oriented artificial intelligence-integrated AM (AIAM) method is reported that enables an user to specify desired output properties while the printer autonomously discovers the optimal input printing parameters by integrating hybrid machine learning models and in situ measurements. Based on a predictive mapping between the input printing parameters and the output properties of interests established with <20 experiments designed by active learning, inverse design tasks are performed to intelligently generate the printing parameter settings that lead to desired outcomes using reinforcement learning. This method is demonstrated by autonomous aerosol jet printing (AJP) of conductive polymer films and achieving userdefined electrical resistances with an ultralow error of 3.7%."
NETL
NSTL