We would like to extend our heartfelt gratitude to the VinIF, Nafosted, and VNU funds for their financial support, which has been instrumental in enabling us to conduct this research. Your generous contributions have made this achievement possible, and we are deeply appreciative of your commitment to advancing scientific innovation.
Research on resistive switching materials, design and fabrication of memristor chips for applications in artificial neural networks
Developed nano-structured materials for resistive memory, created memristor chips with densities from 16 to 4096 cells, and implemented these chips in neural networks. Applied algorithms for image, handwriting, and facial recognition based on the memristor's in-memory computing.
Study of resistive switching memories based on bio-organic materials towards the bio-inspired artificial synapses
Develop and analyze resistance island structures using organic biological materials, integrating theoretical calculations to elucidate charge transmission and resistance island mechanisms. Additionally, explores the potential of memory devices in artificial biological synapses.
Research group in Materials and Devices for Energy conversion, Health science and Data storage
This is an integral part of the strong research project led by Professor Phan Bach Thang at the Center for INOMAR.
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