Call for Papers Overview


The Annual International Electron Devices Meeting
will be held at the Hilton San Francisco Union Square
San Francisco, CA
December 12-16, 2020

DOWNLOAD the 2020 Call for Papers

Abstract Deadline CHANGED to : August 31, 2020

The paper submission deadline has been moved from July to August for submission of four-page, camera-ready papers to provide faster dissemination of the conference’s cutting-edge results. Accepted papers will be published as-is in the proceedings.

 Typical themes of interest in IEDM2020:New or trending areas:
• Logic device performance and circuit design challenges
• Advanced process integration schemes and scaling approaches
• Process module and process control advancements
• Device technology co-optimization solutions

• SiGe/Ge channel, GAA nanowire and stacked nanosheet
• Stacked and monolithic 3D integration
• BEOL compatible transistors
EMERGING DEVICE and COMPUTE TECHNOLOGY (EDT)• 2D and devices on low-dimensional materials
• Neuromorphic and approximate computing concepts and devices
• Spintronic and magnetic devices
• Steep-slope devices
• Quantum computing devices
• Topological insulators and phase transition transistors
• Emerging state machines, continuous time dynamical systems
MEMORY TECHNOLOGY (MT)• Conventional memories
• Emerging memories
• 3D memory technologies
• Computing-in-memory
• Memory for bio-inspired computing
• Novel materials and devices for ferroelectric memories
• Emerging memories for spiking neural networks
• Memory-enabled artificial intelligence applications
MICROWAVE, MILLIMETER WAVE and ANALOG TECHNOLOGY (MAT)• High Performance III-V and Si devices for mm-wave and THz
• Power device technologies for micro and mm-wave
• Micro and mm-wave analog front ends, PAs, LNAs and mixers
• Energy harvesting devices and circuits
• Tunable passives, SAW/BAW devices, antenna arrays
• Device and circuits for 5G and beyond
• Millimeter-wave power
• Antenna arrays and beam forming
MODELING AND SIMULATION (MS)• Technology CAD and benchmarking
• Memory and alternative computing device modeling
• Physics-based compact models
• Atomistic process and device modeling
• Design-oriented modeling: variability, reliability and yield
• Atomistic-device hybrid modeling at large scale
• Advanced integration and packaging modeling
• Device and interconnect modeling for quantum computing
OPTOELECTRONICS, DISPLAYS, and IMAGING SYSTEMS (ODI)• Heterogeneous optoelectronic integration (incl. sources, modulators)
• High-speed wafer-level photonic-electronic integration
• Organic and inorganic displays
• Imagers (high time-resolution, high-sensitivity)
• Large-scale optoelectronic integration for sensors
• Thin film transistors, flexible, stretchable, and printed electronics
• Optoelectronic integration for neuromorphic and quantum computing
• VCSEL sensors, microLED, flexible displays
POWER DEVICES and SYSTEMS (PDS)• Power devices, modules and systems
• System-level impact of power devices
• Manufacturing processes, device design, modeling, physics, and reliability of power devices
• Fundamental studies on doping, traps, interface states and device reliability for power switching devices
• New wide-bandgap semiconductors
• Newer applications from automotive to smart grid
• Power device reliability
• Design for reliability and variability-aware design
• Robustness and security of electronic circuits and systems
• Reliability of devices and systems for biomedical, automotive and aerospace
• Degradation mechanisms of emerging memories
• Reliability of devices, circuits and systems for more-than-Moore
• Reliability of biomedical and wearable devices, circuits and systems
• Reliability of 5G, IoT, automotive and aerospace devices circuits and systems
SENSORS, MEMS, and BIOELECTRONICS (SMB)• Physical and biochemical integrated sensors
• Energy harvesting and storage devices
• Flexible devices for wearable applications
• MEMS for Internet of Things
• Bio-electronics and implantable devices for health applications
• Optomechanical devices and sensors
• Hybrid organic/inorganic
• Sensors and devices for brain computer interfaces