首页|New Findings Reported from Arizona State University Describe Advances in Machine Learning (Machine Learning-enabled Direct Ink Writing of Conductive Polymer Com posites for Enhanced Performance In Thermal Management and Current Protection)
New Findings Reported from Arizona State University Describe Advances in Machine Learning (Machine Learning-enabled Direct Ink Writing of Conductive Polymer Com posites for Enhanced Performance In Thermal Management and Current Protection)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Mesa, Arizona, by NewsRx co rrespondents, research stated, “This study introduces a novel approachthat leve rages the synergy of machine learning (ML) and Direct Ink Writing (DIW) to optim ize themanufacturing feasibility of conductive polymer composites (CPCs) films. The main research focus centerson precisely fine-tuning the printing parameter s to strike the perfect balance between the high loading ofdendritic copper fil lers and their influences on processing and composite performance properties.”
MesaArizonaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningArizona State University
NETL
NSTL
