Spring Into STEM | 2D materials for next-generation electronics | Virtual Lecture Series
Join UCL Electronic and Electrical Engineering's Dr Antonio Lombardo in a fascinating, lightning lecture about 2D materials and their key applications.
Spring Into STEM | 2D materials for next-generation electronics | Virtual Lecture Series
09 May 2022, 12:00 – 12:30
2D materials represent one of the most promising material systems for future electronics. Since the groundbreaking experiment that unveiled the properties of graphene in 2004, enormous progress has been made on production, processing and application of such materials for novel electronic devices.
The “family” of 2D materials grew rapidly, and now tens of different 2D materials are available, including semiconductors, semimetals, insulators, metals, superconductors and ferromagnets. Not only that have properties different from their three-dimensional counterparts and often unique, they can also be stacked in arbitrary orders form structures with tailored properties and functionalities. Moreover, they can be easily combined with “conventional” electronic materials and semiconductor production lines.
In this lightning lecture (15 minutes talk, 15 minutes Q&A) Antonio will briefly introduce the most important two-dimensional materials and discuss their key applications in computing, sensing and quantum technology.
Lecture is open to all - including members of the public - with an interest in topics like computing, sensing and quantum technology.
See all the lectures in the Spring into STEM series at UCL
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Lecturer in Nanostructures and Devices
Dr Antonio Lombardo is a Lecturer in Nanostructures and Devices at the London Centre for Nanotechnology and the Department of Electronic and Electrical Engineering at UCL. His research is focussed on design, simulation, fabrication and testing of novel electronic devices based on 2D materials, their heterostructures and 2D/3D integration for applications in high frequency, low power and neuromorphic (opto)electronics and high frequency sensing.
Further information
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