Gerhard Klimeck Applied Cluster Computing Technologies Group Quantum and semi-classical transport in RTDs using NEMO 1-D Gerhard Klimeck Jet Propulsion.

Slides:



Advertisements
Similar presentations
Contact Modeling and Analysis of InAs HEMT Seung Hyun Park, Mehdi Salmani-Jelodar, Hong-Hyun Park, Sebastian Steiger, Michael Povoltsky, Tillmann Kubis,
Advertisements

Lecture #5 OUTLINE Intrinsic Fermi level Determination of E F Degenerately doped semiconductor Carrier properties Carrier drift Read: Sections 2.5, 3.1.
Budapest University of Technology and Economics Department of Electron Devices Microelectronics, BSc course Basic semiconductor physics.
A New Design Tool for Nanoplasmonic Solar Cells using 3D Full Wave Optical Simulation with 1D Device Transport Models Liming Ji* and Vasundara V. Varadan.
Nanostructures Research Group Center for Solid State Electronics Research Quantum corrected full-band Cellular Monte Carlo simulation of AlGaN/GaN HEMTs.
Huckel I-V 3.0: A Self-consistent Model for Molecular Transport with Improved Electrostatics Ferdows Zahid School of Electrical and Computer Engineering.
Comparison of Non-Equilibrium Green’s Function and Quantum-Corrected Monte Carlo Approaches in Nano MOS Simulation H. Tsuchiya A. Svizhenko M. P. Anantram.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-time User Guide for Piecewise.
Electrical Techniques MSN506 notes. Electrical characterization Electronic properties of materials are closely related to the structure of the material.
Wei E.I. Sha, Wallace C.H. Choy, and Weng Cho Chew
SOGANG UNIVERSITY SOGANG UNIVERSITY. SEMICONDUCTOR DEVICE LAB. Introduction SD Lab. SOGANG Univ. Gil Yong Song.
ECE 4339: Physical Principles of Solid State Devices
Figure 2.1 The p-n junction diode showing metal anode and cathode contacts connected to semiconductor p-type and n-type regions respectively. There are.
Inverse Problems in Semiconductor Devices Martin Burger Johannes Kepler Universität Linz.
Modeling Read-Out for Solid-State Quantum Computers in Silicon Vincent Conrad Supervisors: C.Pakes & L. Hollenberg.
Carrier Transport Phenomena
LPS Quantum computing lunchtime seminar Friday Oct. 22, 1999.
Department of Aeronautics and Astronautics NCKU Nano and MEMS Technology LAB. 1 Chapter IV June 14, 2015June 14, 2015June 14, 2015 P-n Junction.
Full Quantum Simulation, Design, and Analysis of Si Tunnel Diodes, MOS Leakage and Capacitance, HEMTs, and RTDs Roger Lake and Cristian Rivas Department.
ISDRS 2003 Xiaohu Zhang, N.Goldsman, J.B.Bernstein, J.M.McGarrity and S. Powell Dept. of Electrical and Computer Engineering University of Maryland, College.
Department of Information Engineering286 Transistor 3-layers device –npn (more common) –pnp (less common) N P N e b c P N P e b c.
MOS-AK ESSCIRC Leuven (Belgium) On the Analysis of Parasitic Quantum Effects in Classical MOS Circuits Frank Felgenhauer, Simon Fabel, Wolfgang.
Full-band Simulations of Band-to-Band Tunneling Diodes Woo-Suhl Cho, Mathieu Luisier and Gerhard Klimeck Purdue University Investigate the performance.
Large-Scale Density Functional Calculations James E. Raynolds, College of Nanoscale Science and Engineering Lenore R. Mullin, College of Computing and.
EE415 VLSI Design The Devices: Diode [Adapted from Rabaey’s Digital Integrated Circuits, ©2002, J. Rabaey et al.]
Modeling, Characterization and Design of Wide Bandgap MOSFETs for High Temperature and Power Applications UMCP: Neil Goldsman Gary Pennington(Ph.D) Stephen.
INAC The NASA Institute for Nanoelectronics and Computing Purdue University Circuit Modeling of Carbon Nanotubes and Their Performance Estimation in VLSI.
Мэдээллийн Технологийн Сургууль Монгол Улсын Их Сургууль Some features of creating GRID structure for simulation of nanotransistors Bolormaa Dalanbayar,
ITR/AP: Simulations of Open Quantum Systems with Application to Molecular Electronics Christopher Roland and Celeste Sagui Department of Physics, NC State.
ENEE 704 Summary Final Exam Topics. Drift-Diffusion 5 Equations, Five Unknowns. – n, p, Jn, Jp,  Solve Self-Consistently Analytical Method: – Equilibrium:
S.S. Yang and J.K. Lee FEMLAB and its applications POSTEC H Plasma Application Modeling Lab. Oct. 25, 2005.
Three-dimensional quantum transport simulation of ultra-small FinFETs H. Takeda and N. Mori Osaka University.
Basic Electronics By Asst Professor : Dhruba Shankar Ray For B.Sc. Electronics Ist Year 1.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First-Time User Guide Drift-Diffusion.
Network for Computational Nanotechnology (NCN) Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois, UTEP Multi.
Department of Electrical Engineering Arizona State University
Modeling, Characterization and Design of Wide Bandgap MOSFETs for High Temperature and Power Applications UMCP: Neil Goldsman Gary Pennington(Ph.D) Stephen.
ECE 4339 L. Trombetta ECE 4339: Physical Principles of Solid State Devices Len Trombetta Summer 2007 Chapters 16-17: MOS Introduction and MOSFET Basics.
Influence of carrier mobility and interface trap states on the transfer characteristics of organic thin film transistors. INFM A. Bolognesi, A. Di Carlo.
Network for Computational Nanotechnology (NCN) SungGeun Kim Purdue, Norfolk State, Northwestern, MIT, Molecular Foundry, UC Berkeley, Univ. of Illinois,
Development of an analytical mobility model for the simulation of ultra thin SOI MOSFETs. M.Alessandrini, *D.Esseni, C.Fiegna Department of Engineering.
Advanced Drift Diffusion Device Simulator for 6H and 4H-SiC MOSFETs
High E Field Transport BW: Sect. 8.10, p 198YC, Sect. 5.4; S, Sect. 4.13; + Outside sources.
Gerhard Klimeck High Performance Computing Group Software Development at Academia, Government Labs, Industry John Barker Agenda/Questions: How can the.
Norhayati Soin 06 KEEE 4426 WEEK 3/2 20/01/2006 KEEE 4426 VLSI WEEK 4 CHAPTER 1 MOS Capacitors (PART 3) CHAPTER MOS Capacitance.
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First Time User Guide to MOSCAP*
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP First time user guide for RTD-NEGF.
Network for Computational Nanotechnology (NCN) Gerhard Klimeck Berkeley, Univ. of Florida, Univ.of Illinois, Norfolk State, Northwestern, Purdue, Stanford,
CHAPTER 4: P-N JUNCTION Part I.
Semiconductor Device Physics
Metal-oxide-semiconductor field-effect transistors (MOSFETs) allow high density and low power dissipation. To reduce system cost and increase portability,
1 ME 381R Lecture 13: Semiconductors Dr. Li Shi Department of Mechanical Engineering The University of Texas at Austin Austin, TX
Network for Computational Nanotechnology (NCN) UC Berkeley, Univ.of Illinois, Norfolk State, Northwestern, Purdue, UTEP OMEN Nanoiwre* Supporting Document.
President UniversityErwin SitompulSDP 3/1 Dr.-Ing. Erwin Sitompul President University Lecture 3 Semiconductor Device Physics
ACADEMIC AND SCIENTIFIC WORK ROBERTO PINEDA GÓMEZ
QUANTUM-EFFECT DEVICES (QED)
Contact Resistance Modeling and Analysis of HEMT Devices S. H. Park, H
Electronics The Seventh and Eighth and Lectures
Contact Resistance Modeling in HEMT Devices
Band Structure Lab with NEMO5 Yi Shen, Nicolás Esquivel Camacho, Michael Povolotskyi ,and Gerhard Klimeck Approach: The communication between Rappture.
OMEN: a Quantum Transport Modeling Tool for Nanoelectronic Devices
Numerical Aspects of NEGF
Modelling & Simulation of Semiconductor Devices
Long Channel MOS Transistors
Long Channel MOS Transistors
Chapter 1 – Semiconductor Devices – Part 2
C. Kadow1, H.-K. Lin1, M. Dahlstrom1, M. Rodwell1,
PN-JUNCTION.
The Conductivity of Doped Semiconductors
Presentation transcript:

Gerhard Klimeck Applied Cluster Computing Technologies Group Quantum and semi-classical transport in RTDs using NEMO 1-D Gerhard Klimeck Jet Propulsion Laboratory, California Institute of Technology (818) This research was carried out by at the Jet Propulsion Laboratory, California Institute of Technology under a contract with the National Aeronautics and Space Administration.

Gerhard Klimeck Applied Cluster Computing Technologies Group NEMO 1-D: A User-friendly Quantum Device Design Tool Resonance Finder Hybrid C, FORTRAN FORTRAN90 Software Engineering Object-Oriented Principles Graphical User Interface Material Param. Database Batch Run Interface Library of Examples Novel Grid Gen. Documentation Tool Band- structure Charging Interface Roughness Phonons Alloy Disorder Ionized Dopants Physics Formalism Green Function Theory & Boundary Cond. NEMO was developed under a government contract to Texas Instruments and Raytheon from >50,000 person hours of R&D 250,000 lines of code in C, FORTRAN and F90 NEMO 1-D maintained and NEMO 3-D developed at JPL ‘98-’02 (>12,000 person hours) under NASA funding. Since ‘02 NSA and ONR funding. Based on Non-Equilibrium Green function formalism NEMO in THE state-of-the-art heterostructure design tool. Used at Universities, Government Labs, Industry. Bridges gap between device engineering and quantum physics. Transport/ Engineering Quantum Mechanics / Physics 20/50/ 2 Testmatrix Good News! I mean great news! After 5 years of agony with Raytheon release problems: JPL can release the code to US institutions with a US government contract that requires / would benefit from NEMO use! er

Gerhard Klimeck Applied Cluster Computing Technologies Group NEMO Breakthrough: Simulations of Devices With Realistic Large Extent Calculate charge self-consistently in the left and right reservoir central device region Density of States left reservoir right reservoir Quantum Optical Switch

Gerhard Klimeck Applied Cluster Computing Technologies Group Generalized Boundary Conditions: Boundaries as a Scattering Problem Three Critical Simulation Domains: left reservoir, central device, right reservoir Dynamics Kinetics How good is the reservoir assumption? Flat Fermi Level -> Zero Current

Gerhard Klimeck Applied Cluster Computing Technologies Group Couple NEGF in Central Device to Drift-Diffusion Equation in Reservoirs Central Device Carriers injected from reservoirs, need Fermi level in left/right edge Fermi level not defined in central device. Current / Charge from NEGF Current imposed on reservoirs Reservoirs: Current imposed by central device Gradient of Fermi level at each site imposed by current. Charge from EGF and Fermi level Self-consistency: Poisson NEGF Drift-Diffusion

Gerhard Klimeck Applied Cluster Computing Technologies Group Current Voltage Characteristic Compare µ=infinite, µ=20,000cm 2 /Vs, µ=10cm 2 /Vs Low mobility -> similar to series resistance V applied = V internal +R I ->stretch of voltage axis -> bi-stability

Gerhard Klimeck Applied Cluster Computing Technologies Group “Resistance” is not Constant! Compare µ=infinite, µ=20,000cm 2 /Vs, µ=10cm 2 /Vs Low mobility -> similar to series resistance V applied = V internal +R I ->stretch of voltage axis -> bi-stability

Gerhard Klimeck Applied Cluster Computing Technologies Group Peak Current Depends Weakly on Mobility Compare µ=infinite, µ=20,000cm 2 /Vs, µ=10cm 2 /Vs Low mobility -> similar to series resistance V applied = V internal +R I ->stretch of voltage axis -> bi-stability

Gerhard Klimeck Applied Cluster Computing Technologies Group High Mobility V=0.32V µ=20,000cm 2 /Vs Potential difference only in the quantum well. High current state -> charge accumulation in well Low current state -> empty quantum well

Gerhard Klimeck Applied Cluster Computing Technologies Group Low Mobility V=0.35V µ=10cm 2 /Vs Potential difference in emitter and quantum well. High current state -> charge accumulation in well Low current state -> empty quantum well, accumulation in notch

Gerhard Klimeck Applied Cluster Computing Technologies Group Comparison to Experiment & Conclusions Experiment: Show I-V curves from two different devices from different wafers -> 15% peak current deviation Introduction of finite mobility has small effect on overall I-V curve for high performance RTDs Conclusion: Demonstrated coupling of drift diffusion to NEGF simulation. Flat Fermi levels in reservoirs a pretty reasonable assumption. Future work: Need to combine the intrinsic resistance simulation with a quantum capacitance calculation Need to look at low performance RTDs with long spacer layers and low carrier densities.