by | Feb 7, 2022 | Balgley, Jesse, Henriksen, Erik
— Technology Description
Researchers at Washington University in St. Louis have developed a method to control charge doping in 2D materials like graphene. This method uses α-RuCl3 to create pn junctions at a smaller scale than silicon transistors.
While α-RuCl3 efficiently removes el…
by | Mar 2, 2021 | Chakrabartty, Shantanu, Gangopadhyay, Ahana
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed Growth Transform Neural Network (GTNN), a flexible system for designing scalable neuromorphic processors for use in deep learning systems and support vector machines. GTNN frames the neuromorphic syst…
by | Dec 18, 2019 | Chakrabarti, Ayan, Zhang, Xuan "Silvia"
— Technology Description
Engineers in Prof. Xuan “Silvia” Zhang’s laboratory have developed a unifying design and optimization paradigm to automate the design of analog-to-digital interfaces and create scalable, general purpose analog and mixed signal (AMS) blocks that employ machi…
by | Oct 22, 2019 | Agonafer, Damena, Ma, Binjian, Shan, Li
— Technology Description
Engineers in Prof. Damena Agonafer’s laboratory have developed a highly-efficient, compact, modular evaporative cooling platform with materials and nanostructured geometries designed to greatly enhance thermal management of 3D integrated circuits, power converters and …