IMT Bucharest
Minatec – CROMA
3 Parvis Louis Néel, CS 50257
38016 Grenoble Cedex 1, France
+33 456 52 95 09
sinano@minatec.grenoble-inp.fr
Main expertises
Novel computing architectures (Neuromorphic, Quantum...)
- Neuromorphic Devices (Synapses and neurons), Neuromorphic circuits for edge learning, Non-volatile Memories, Cryogenic Electronics
Small slope switches-TFET/Fe Transistors/Dirac-Source FET/NEMS...
- TFET/2D-FETs/FeFETs
Alternative materials-2D layers
- 2D semiconductors
Very low temperature electronics
- Cryogenic memories
Amorphous Oxide Semiconductor FETs
- IGZO-FeFETs
Research interests
Novel computing architectures (Neuromorphic, Quantum...)
- To develop 3D integrated intelligent chips combining CMOS logic with emerging memories and sensing platforms for in-memory and in-sensor computing chips.
Small slope switches-TFET/Fe Transistors/Dirac-Source FET/NEMS...
- Integrate CMOS back-end compatible ferroelectric and semiconductors for scaled high performance devices
Alternative materials-2D layers
- Develop 2D ferroelectric devices for optoelectronic synapses for all optical computing platform.
Very low temperature electronics
- Design, fabrication and characterization of cryogenic memory devices down to 4K and integrate them in in-memory-computing circuits.
Amorphous Oxide Semiconductor FETs
- Design, fabrication and characterization of scaled memory devices for high integration density and ultralow power operation.
Main expertises
Memories/Charge-based, Resistive/Capacitive
- Memories (FeFET, FeCap, FTJ), resistive/capacitive
Research interests
Memories/Charge-based, Resistive/Capacitive
- CMOS BEoL integration of FeCaps for 1T-1C, 2T-2C or similar FRAM architectures
Main expertises
Flexible electronics
- 2D semiconductor-based wearable in-sensor computing
Research interests
Flexible electronics
- Developing flexible device platform for edge intelligence.
Main expertises
Smart systems
- Associative learning systems using sensor fusion and memristive technology
Research interests
Smart systems
- Develop systems that has situational awareness, learns and can take decisions based on previous learning. Current projects focus on autonomous vehicles where data from Camera, Radar and Lidar are used to make a learning system.