Low Voltage, Scalable Nanocrystal FLASH Memory Fabricated by Templated Self Assembly Sung Hyun Jo...
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Transcript of Low Voltage, Scalable Nanocrystal FLASH Memory Fabricated by Templated Self Assembly Sung Hyun Jo...
Low Voltage, Scalable Nanocrystal Low Voltage, Scalable Nanocrystal FLASH Memory Fabricated by FLASH Memory Fabricated by
Templated Self AssemblyTemplated Self Assembly
Sung Hyun JoPh.D. Student, Dept. of Electrical Engineering & Computer Science
Ken LohPh.D. Student, Dept. of Civil & Environmental Engineering
EECS 598 Nanoelectronics
October 11, 2005
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Research MotivationResearch Motivation Nanocrystal FLASH memory offers potential advantages over
traditional FLASH devices. Improved scalability Retention Cyclability
Introduce new method for building nanocrystal FLASH memory devices that achieves precise control of nanocrystal size and position.
Dimensions are defined via polymer self assembly
Device exhibit low voltage memory operation with promising retention and endurance properties.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Background on Conventional FLASHBackground on Conventional FLASH What is FLASH memory?
Form of non-volatile EEPROM that allows multiple memory locations to be erased or written within one programming cycle
Unlike EEPROM that only allows one location to be erased/written at one time
Significant problem of limited, short lifetime for read and access Erase operation causes wear and tear of insulating oxide layer around the charge
storage mechanism
Table: Conventional FLASH Memory
Pros: Cons: Non-volatile 10,000 erase operation lifetime
Fast read/access time Size limitation
Shock resistant High power consumption
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Two Main Types of Conventional FLASHTwo Main Types of Conventional FLASH NOR Flash
Each cell looks like a MOSFET transistor, except having two gates instead of one
One gate is the control gate (CG) like in other MOS transistors Second gate is the floating gate (FG) that is insulated by the oxide layer
Because the FG is insulated in an oxide layer, any electrons placed on it gets trapped and retains information
Programming the NOR flash involves starting the flow of electrons from source to drain and then applying a large enough electric field to suck them up to the FG through quantum tunneling
NAND Flash Programming methodology is different
Tunnel injection to write Tunnel release to erase
Right: iPod Nano using two 2-Gb Samsung FLASH chips
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Background (1)Background (1) The trend of nonvolatile memories
Storage capability enhancement High speed Low power
Problems of conventional Flash memory scaling down
Tunneling oxide Very sensitive to defects Cycling induced defects
High operation voltage (~10V) The length scaling
Scale down
Control Gate
Source DrainChannel
Flash
Defect
ContinuousFG
e-
e-e-
e-
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Background (2)Background (2) Solution for scaling down of nonvolatile memory devices
High quality tunneling oxide High-K material New nonvolatile memory technologies
FeRAM, MRAM, PCRAM … Discrete-trap memory devices
Relatively insensitive to oxide defects
Control Gate
Source DrainChannel
Discrete-Trap Memory
e-
e-
e-
e-
e-
Distributed Nodes
Defect
Control Gate
Source Drain
Channel
SONOS
e- e- e- e- e- e-
Control Gate
Source Drain
Channel
NFGM
e- e- e- e- e- e-
Nanocrystals
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Background (3)Background (3)
The Advantages of Discrete-Trap Memory Scaling down of tunneling oxide (<<8nm) Low W/E voltage & low power Fast write time High endurance/reliability (reduced hot carrier effect) Long retention time (relatively insensitive to defects)
Issues Retention time versus Write time optimization Large window of threshold voltage (∆VTH)
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Discrete-Trap Memory DeviceDiscrete-Trap Memory Device
Source DrainTunnel oxide
Control oxideNanocrystals
Fast read time Long retention time Low power
Compared to flash EEPROM
Case 1 : Tiwari’s structure The first proposed nanocrystal based memory device. Dot density: ~1011/cm2
Tiwari, IEDM Tech. Dig 521 1995
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Discrete-Trap Memory DeviceDiscrete-Trap Memory Device
Noble E-beam lithography SOI technology Unfavorable for mass production at present
Case 2 : Guo’s structure
Si substrate
Buried oxide
Si channel
Control gate
Dot Oxide
L. J. Guo, Science, vol. 275, pp. 649-651, 1997.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Case 3 The film growth
Photo-CVD Low growth rate No plasma damage
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Formation of Si NanocyrtalFormation of Si Nanocyrtal Si Nanocrystal
The TEM image
5 nm
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
The Variable: Deposition Time
Formation of Si NanocyrtalFormation of Si Nanocyrtal
t : 2min
t : 3min
t : 5min
Size Density
Increased depositiontime
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Formation of Si NanocyrtalFormation of Si Nanocyrtal The Variable: Hydrogen dilution ratio (R = H2/SiH4)
R = 15
R = 20
R = 25
R
Size Density
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
A breakthrough improvement of the nanocrystal memory is expected with a material that incorporates ordered Si nano-dots of equal sizes and equal distances between them!!!
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
IntroductionIntroduction What Nanocrystal FLASH memory has to offer
In addition to the previously mentioned advantages… The floating gate is composed of discrete, electrically-isolated particles
Compared to a continuous film in conventional FLASH Typically formed by CVD or aerosol deposition Such nanocrystals have a wide distribution of size and position, leading to
limitations on device performance, scalability, and manufacturability
Solution: New fabrication method for building nanocrystal memories Based on a polymer self assembly process
Sets nanocrystal dimensions, density, and uniformity
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device FabricationDevice Fabrication Define Si nanocrystals using diblock copolymer thin film self-
assembly Involves spin coating a dilute polymer solution Diblock copolymer consists of:
Polystyrene (PS) Poly(methyl methacrylate) (PMMA) Molecular weight ratio produces hexagonally-close packed PMMA
cylinders in a PS matrix Annealing to promote phase separation into nanometer-scale polymer
domains PMMA is removed with an organic solvent, leaving a porous PS film Thin film used as sacrificial layer to define nanocrystals at sub-lithographic
dimensions
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
The Diblock CopolymerThe Diblock Copolymer Diblock copolymer composed of
polystyrene (PS) and poly(methyl methacrylate) (PMMA) – What are they?
Diblock copolymer are composed of two chemically distinct polymers
When films of diblock copolymer are annealed, nanometer-scale patterns form due to phase separation
Separations called “microdomains” can be observed
The stripe pattern is formed from repulsion between the two halves of the polymer molecules
PS / PMMA The MW ratio produces hexagonally-close
packed PMMA cylinders in a PS matrix
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
The PolymersThe Polymers PMMA – Poly(Methyl Methacrylate)
Form acrylic plastics used in many common products
PS – Polystyrene A liquid hydrocarbon that is commercially manufactured from petroleum
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
An ExampleAn Example
Example of structures produced by block copolymer nanolithographyLeft: SEM image of an array of holes (aspect ratio near unity) in a Si wafer.
Right: TM-AFM image of an array of metallic Au dots fabricated in a trilayer process.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Outline of Fabrication StepsOutline of Fabrication Steps
1) Form the porous PS film on a thermal oxide hardmask.
2) Etch PS pattern into oxide
3) Grow program oxide (2-3 nm) and conformally deposit a:Si
4) Etch a:Si using an anisotropic reactive ion etching (RIE) process
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Fabrication Process IFabrication Process I Top Figure
200x200 nm SEM image of porous polymer film on silicon oxide
Indicates polymer molecules are made to self-assemble in hexagonal arrangements
Size of arrangement set by size of polymer molecules
Bottom Figure Porous polymer film on silicon oxide (after
etching of PMMA) Benefits:
This polymer is more rugged to withstand higher temperatures during fabrication
Polymer material can be easily removed
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Fabrication Process IIFabrication Process II Top Figure
Si nanocrystal array Combination of depositing silicon material
and etching leaves Si nanocrystals Embedded within 20 nm region defined by
self assembled polymer matrix
Bottom Figure Dotted curve (a): dimensions of hexagonal
pattern of initial polymer layer maintained throughout
Gray curve (b): dimensions of hexagonal pattern during intermediate process
Solid curve (c): final silicon nanocrystal dimensions
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Resulting a:Si NanocrystalsResulting a:Si Nanocrystals A:Si nanocrystals reproduce dimension of the original self-assembled
polymer film Diameter: 20 nm ± 10% Center-to-center spacing: 40 nm (hexagonal close-packed) Nanocrystal density: 6.5x1010/cm2
Smaller nanocrystals can be formed by employing lower molecular weight polymers
Potential source for future device scaling
Left: Example of nanocrystal formation on substrate.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
How it WorksHow it Works Devices are programmed by injecting charge erased by expelling
charge from the nanocrystals Process of quantum tunneling as before Simply speaking, if the potential of the electrons are high enough, the electron
particles can tunnel through the potential energy barrier instead of being insulated by the oxide
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Experimental Results
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance The stored charge shifts the device flat band voltage, VFB
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance A write voltage, VW, of -4 V shifts VFB by > 0.5 V. Larger VFB shifts are achieved with higher VW.
Magnitude and slope of ΔVFB vs. VW depend on the program and control oxide thicknesses
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance ΔVFB saturates at high VW, when charge begins to leak through the
control oxide
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance Devices with tprog = 3 nm show larger ΔVFB than tprog = 2 nm at long
write times due to larger voltage on the floating gate for the same VW
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance ΔVFB increases with write time for a fixed VW
Minimum write time of 50 micro-s provides ~0.2 VFB at VW = -6 V Device A
Fully erase the devices with a 100 micro-s erase voltage (VE) pulse of +4 V
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance Evaluate stability of the written and erase memory
Using VW = -6 V, VE = +4 V Measure signal capacitance at -2 V as a function of time
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Device PerformanceDevice Performance Measuring device endurance
For tctrl = 2 nm
Measured using VW = -6 V, 50 micro-s, and VE = +4 V, 50 micro-s Capacitance in the two memory states was read at -2 V
Device write/erase window remains unchanged out to 109 cycles
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
DiscussionDiscussion Describe first nanocrystal FLASH that utilizes self-assembled
polymer film to build Si nanocrystals
This is a manufacturable solution to achieve uniformly-sized and –spaced nanocrystals
Device functions as a nonvolatile memory element ΔVFB > 0.5 V for VW < 4 V
Retention time > 106 s for program oxide as thin as 2 nm
Endurance > 109 cycles
Status and Outlook of Emerging Status and Outlook of Emerging Nonvolatile Memory TechnologiesNonvolatile Memory Technologies
Ken LohPh.D. Student, Dept. of Civil & Environmental Engineering
Sung Hyun JoPh.D. Student, Dept. of Electrical Engineering & Computer Science
EECS 598 Intro. To NanoelectronicsOct 11, 2005
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Emerging Nonvolatile Memory TechnologiesEmerging Nonvolatile Memory Technologies Category
Reversible Conductance Change Conductive Bridging RAM (CBRAM)
The state change (amorphous, crystalline)
The Magneto-resistive RAM (MRAM) The magneto resistance
Phase Change RAM (PCRAM) The state change (amorphous, crystalline)
Other Ferro-electric RAM (FeRAM)
The Residual polarization in ferroelectrics
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Conductive Bridging RAM (CBRAM)Conductive Bridging RAM (CBRAM) Based on a polarity-dependent resistive switching Metal/a-Si:H/Metal structure Electroforming process
Sufficient applied voltage causes atoms from the top contact to enter the a-Si:H, and leave metallic inclusions (*still controversial)
The forming process operate by diffusion
M. Jafar Phy. Rev. B vol. 49, 19, 1994
Top Metal
Bottom Metal
a-si:H
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
CBRAMCBRAM Voltage-current characteristic
M. Jafar Phy. Rev. B vol. 49, 19, 1994
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
CBRAMCBRAM Performance improvement by replacing a-Si:H as chalcogenide
glass (Ge2Sb2Te5, GST) Small device size (~100nm) High Roff/Ron ratio Retention time
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Ferro-electric RAM (FeRAM)Ferro-electric RAM (FeRAM) FeRAM stores data as remnant polarization in a ferroelectric
capacitor
The hysteresis in ferroelectrics
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
FeRAMFeRAM Capacitor Type RAM
Destructive Read Small size is the most challenging issue
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
FeRAM - Scaling downFeRAM - Scaling down Conventional Problem
To obtain certain amount of polarization, the size of the capacitor is limited
(as for the planar FeRAM, size of the capacitor is ~10F2)
The capacitor on plug structure (~4F2) High aspect ratio required
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Magneto-resistive RAM (MRAM)Magneto-resistive RAM (MRAM) MRAM uses magnetic moments, rather than an electric charge, to
determine the on-off state of the memory bit cell.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
MRAMMRAM TMR (Tunneling Magneto Resistance)
Current
The ferromagnetic layer (Fe, Ni, Co)
The insulator layer (Al2O3 –pin hole free )
The direction of magnetic field
(a) Small Resistance (b) Large Resistance
An electron with a given spin direction can only tunnel into an empty state with the same spin direction
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
MRAMMRAM Magneto Tunnel Current
S. Tehrani, Proceeding of IEEE, 91, 2003, p.703
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
MRAMMRAM Read & Write principle
TMR (on)TMR selection (off)
Write PulseSensing Voltage
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
MRAMMRAM
S. Tehrani, Proceeding of IEEE, 91, 2003, p.703
The free layer of the bit is elongated in shape : Magnetic shape anisotropy creates an energy barrier
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
MRAMMRAM Scaling Issue
To maintain or increase the readout speed even if the bit size is reduced, it is essential that the MTJ resistance dose not increase
Decrease of barrier thickness & the barrier height (lower resistance-area)
Ferromagnetic material Today’s alloys can produce MR of 50% Replacing one electrode with a material having polarization over 90%
would increase MR to 150%
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Phase Change RAM (PCRAM)Phase Change RAM (PCRAM) Based on a thermally induced reversible phase change between the
amorphous (high R) and the crystalline (small R) phase of a chalcogenide (Ge2Sb2Te5, GST)
High current & fast quenching freezes the material to amorphous state (10~30ns). Medium current for longer pulse time is used for re-crystallization
The Conceptual PRAM
GST
Vcc
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
PCRAMPCRAM I-V curves for the crystalline and amorphous chalcogenide
* A. Pirovano, IEEE Trans. On Elec. Dev. 51 p. 452 2004
* G.Muller, IEEE
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
PCRAMPCRAM Reliability
Over heating of a cell degrades the endurance
*S. Lai, IEDM Tech. Dig., 2003, p. 256
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
PCRAMPCRAM Issues Switching current reduction: power consumption, switching time
Reducing the contact area is essential
*S. Lai, IEDM Tech. Dig., 2003, p. 256
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
ComparisonComparisonFlash CBRAM FeRAM MRAM PCRAM
Maturity Product Single Cells Product Product Samples
ProductSample
Density 4Gb - 32Mb 16Mb 64Mb
Cell Size[um2] 0.025 - 0.6 1.4 0.5
Nonvolatile Yes Yes Yes Yes Yes
Random Read Access
80ns <200ns 50ns 30ns 50ns
Random Write Access
~10us
(erase 100ms)
<200ns 70ns 30ns 50ns
Destructive Read
No No Yes No No
Write Endurance
106 >105 >1012 1015 >1012
Write Voltage Vdd+~10V Vdd Vdd Vdd Vdd
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
ConclusionsConclusions Fabrication of Si nanocrystals feasible using diblock copolymer
PS-PMMA diblock copolymer Self-assembly technique Scalable Memory retention and endurance verified through experiments
Smaller nanocrystals can be fabricated using a similar fashion by employing different diblock copolymers
Potential technique for future scalable operations Potential candidates for emerging nonvolatile memory storage
devices CBRAM MRAM PCRAM FeRAM
Programming & Erasing MechanismProgramming & Erasing Mechanism of the Floating gate memory deviceof the Floating gate memory device
Ken Loh
Sung Hyun Jo
EECS 598 Intro. To Nanoelectronics
Oct 11, 2005
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Basic Programming MechanismBasic Programming Mechanism Fowler-Nordheim (FN) tunneling
Uniform tunneling Drain side tunneling
Hot carrier injection Hot electrons (CHE) Hot holes (CHH) Modeling method
e.g. Lucky-electron model (by Shockley)
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Fowler-Nordheim (FN) tunnelingFowler-Nordheim (FN) tunneling N-type on p-sub
Energy band diagram of a floating gate memory during programming by FN tunneling.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
FN tunneling (during the programming)
Uniform tunneling Drain side tunneling
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Hot carrier injection (HCI)Hot carrier injection (HCI) Hot electron injection
Hot-hole injection is slow due to large mass and energy barrier of 4.7eV
Hot-electron injection mechanism for programming in NVM's.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Hot Carrier Injection ModelingHot Carrier Injection Modeling Lucky-electron Model (by Shockley)
A-B: The hot electron momentum has to be re-directed towards the interface. (with probability PA)
B-C: The hot electron must not suffer any energy robbing collision (PB)
C-D: The electron must not suffer any scattering due to the oxide image potential (PC)
0
effective channel length
Momentum redirection scattering mean free path
92nm
effL A B Cg ds
r
eff
r
P P PI I dx
L
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Basic Erasing MechanismBasic Erasing Mechanism The net negative charge confined in the floating gate shifts the VT to
a positive value
Two methods of erasing UV emission (EPROM) FN tunneling
Uniform tunneling Drain side tunneling
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
UV EmissionUV Emission The typical time it takes to change the VT from programmed state to
neutral or erased state is 10 minutes (EPROM)
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
FN tunnelingFN tunneling N-type on p-sub
Energy band diagram of a floating gate memory during erasing by FN tunneling.
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
FN tunneling (during the erasing)
Uniform tunneling Drain side tunneling
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Threshold Voltage WindowThreshold Voltage Window
Nonvolatile MemoriesNonvolatile MemoriesEECS 598 Nanoelectronics – Tuesday, Oct 11, 2005
Summary (1)Summary (1)