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Advanced Identification Methods for Industrial Processes with Big Time Delays
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作者 Lutfi Bina dejan davidovikj +1 位作者 Goran Stojanovski Mile Stankovski 《Journal of Mechanics Engineering and Automation》 2012年第4期203-207,共5页
关键词 识别方法 工业过程 大时滞 工业生产过程 水处理过程 时间延迟 神经网络 小波网络
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Sensitive capacitive pressure sensors based on graphene membrane arrays 被引量:3
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作者 Makars Siskins Martin Lee +8 位作者 Dominique Wehenkel Richard van Rijn Tijmen W.de Jong Johannes R.Renshof Berend C.Hopman Willemijn S.J.M.Peters dejan davidovikj Herre S.J.van der Zant Peter G.Steeneken 《Microsystems & Nanoengineering》 EI CSCD 2020年第1期176-184,共9页
The high flexibility,impermeability and strength of graphene membranes are key properties that can enable the next generation of nanomechanical sensors.However,for capacitive pressure sensors,the sensitivity offered b... The high flexibility,impermeability and strength of graphene membranes are key properties that can enable the next generation of nanomechanical sensors.However,for capacitive pressure sensors,the sensitivity offered by a single suspended graphene membrane is too small to compete with commercial sensors.Here,we realize highly sensitive capacitive pressure sensors consisting of arrays of nearly ten thousand small,freestanding double-layer graphene membranes.We fabricate large arrays of small-diameter membranes using a procedure that maintains the superior material and mechanical properties of graphene,even after high-temperature annealing.These sensors are readout using a low-cost battery-powered circuit board,with a responsivity of up to 47:8aF Pa^(−1) mm^(−2),thereby outperforming the commercial sensors. 展开更多
关键词 GRAPHENE ARRAYS thereby
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