首页|Investigators from Catholic University of the Sacred Heart Target Machine Learni ng (Physical Virtualization of a Gfet for a Versatile, High-throughput, and High ly Discriminating Detection of Target Gas Molecules At Room Temperature)
Investigators from Catholic University of the Sacred Heart Target Machine Learni ng (Physical Virtualization of a Gfet for a Versatile, High-throughput, and High ly Discriminating Detection of Target Gas Molecules At Room Temperature)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Brescia, Italy, by NewsRx corresp ondents, research stated, "An e-nose is built on a single graphene field effect transistor (GFET), based on a graphene/Si3N4/p-Si stack of layers. Multichannel data acquisition, enabling to mimic the architecture of a sensor array, is achie ved by steering the gate potential, thus yielding a virtual array of 2D chemires istors on a single sensing layer." Financial support for this research came from Universita Cattolica del Sacro Cuo re-KU Leuven Joint PhD Project within the School of Doctorate in Science.
BresciaItalyEuropeCyborgsEmergin g TechnologiesMachine LearningCatholic University of the Sacred Heart
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