The first part will give an overview of semiconductor devices trends and evolutions for calculations. Limits of traditional architectures as transistors and memories will be studied. Then we will described emerging solutions for calculations and memories including devices and architectures for advanced computing and artificial intelligence. The second part will address the physics of light emitting diodes.
Part I Semiconductor devices trends and evolutions for calculations
Prerequisites from M1 - Basic principles (documents can be provided)
Diode, MOS Capacitance , MOSFET, Electronic transport in a semiconductor and in and oxide.
I.1 Moore's law limits and solutions
MOSFET nano-transistors basics
Static and dynamic power
New architectures (Finfet, Nanowires)
Dynamic power regulation
Variability at ultimate scaling
I.2 Memories
Volatile memories
DRAM
SRAM
Non-volatile memories : Flash memories
I.3 Emerging non-volatile memories
Resistive random access memories (OxRAM, CBRAM, PCRAM)
Crossbar and 3D architectures
Magnetic random access memories and spintronics
I.4 3D Technologies for heterogeneous integration
2D integration limitations
Parallel 3D
Sequential 3D
Applications to advanced calculations, smart imagers, photonics.
I.5 From CMOS to single electron devices
New phenomena at ultimate scaling
Low temperature electronics
Single electron transistor
Toward (single) spin electronics and quantum calculations
I.6 Emerging computing paradigms for AI
Some basics of neuromorphic computing
Convolutional neuronal networks
Spiking neurones using resistive memories
Fading the limits been memory and calculation.
Part II Light emitting diodes: Physics and devices
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