Mario Lanza

Associate Professor, King Abdullah University of Science and Technology
  • King Abdullah University of Science and Technology
  • China

About Mario Lanza

Mario Lanza is an Associate Professor of Materials Science and Engineering at the King Abdullah University of Science and Technology (KAUST), in Saudi Arabia since October 2020. Dr. Lanza got his PhD in Electronic Engineering with honors in 2010 at Universitat Autonoma de Barcelona. During the PhD he was a visiting scholar at The University of Manchester (UK) and Infineon Technologies (Germany). In 2010-2011 he was NSFC postdoc at Peking University, and in 2012-2013 he was Marie Curie postdoc at Stanford University. On October 2013 he joined Soochow University as Associate Professor, and in March 2017 he was promoted to Full Professor. Prof. Lanza has published over 120 research papers, including Science, Nature Electronics, Nature Chemistry, and IEDM, edited a book for Wiley-VCH, and registered four patents (one of them granted with 5.6 Million CNY). Prof. Lanza has received the 2017 Young Investigator Award from Microelectronic Engineering (Elsevier), and the 2015 Young 1000 Talent award (among others), and in 2019 he was appointed as Distinguished Lecturer of the Electron Devices Society (IEEE-EDS). Prof. Lanza is Associate Editor of Scientific Reports (Nature) and Microelectronic Engineering (Elsevier), and serves in the board of many others, like Advanced Electronic Materials (Wiley-VCH), Nanotechnology and Nano Futures (IOP). He is also an active member of the technical committee of several world-class international conferences, including IEEE-IEDM, IEEE-IRPS, IEEE-IPFA and APS. Prof. Lanza leads a research group formed by 10-15 PhD students and postdocs, and they investigate how to improve electronic devices using 2D materials, with special emphasis on two-dimensional (layered) dielectrics and memristors for non-volatile digital information storage and artificial intelligence computing systems.

Subject

2D and vdW Memristors Electronics for metrology and scientific instruments Techniques and instrumentation Nanoscale materials Materials for devices

Intro Content

Contributor Nature Electronics

Wafer-scale integration of 2D materials in high-density memristive crossbar arrays for artificial neural networks

Memristors made of multilayer hexagonal boron nitride exhibit multiple properties (such as ultra-low power consumption and multiple stable states) that make them ideal for the construction of crossbar arrays for artificial neural networks.

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