Upload
caren-burns
View
269
Download
2
Embed Size (px)
Citation preview
Update on TCAD Simulation
Mathieu Benoit
Introduction• The Synopsis Sentaurus Simulation tool
– Licenses at CERN– Integration in LXBatch vs Engineering Machine
• Principles of TCAD simulation – Process simulation
• implantation• Lithography• Diffusion/Activation
– Device simulation• DC Simulation • Transient simulation
• Simulation results on medipix-like n-in-p thin pixel sensors
The Synopsis Sentaurus Simulation tool
• 2 Licenses available at CERN through europractice– One license for RD50– One license available to all (microelectronics group)– 20 licenses (2000 €) to be delivered to CLIC-LCD in mid-February
• 2 possibility to perform simulation : – Sentaurus workbench tools allow for automatic handling of LSF protocol -
> lxbatch• Limited number of CPU, RAM per simulation
– Running on a local engineering machine• Many CPU available for parallel computing• Large amount of RAM
Parameter exploration
3D simulation
The Synopsis Sentaurus Simulation tool
• Example : 2D Process Pixel simulation – 47120 nodes , 7 min of simulation– 64.7% of time spent in solver
Pardisio (277.6 s)• Example : 2D DC Device simulation
– 157s of simulation to obtain solution a one bias point
• Example : 2D Transient simulation (mip)– 3h09m of simulation -> 1h06m of
real time running on 3 CPU (lxplus)– 1.375 Gb of RAM used
Process Simulation• 1st Backside implantation
– Oxide deposition (40nm)– Boron implantation (10^15/cm2, 60 keV)– Contact etching (oxide)
• 2nd P-Spray Implantation (n-readout)– Deposition of a screening oxide (200nm)– Deposition of a nitride layer (200nm)– Boron implantation (10^12/cm2, 120 keV )
• 3rd Read-out implantation– Etching of the nitride layer in implant location – Etch of oxide in implanted down (40 nm of screening oxide left)– Implantation of phosphorus (10^15/cm2, 60 keV)
• 4th Diffusion/activation of the implants– Heating of the wafer in the oven in a nitrogen atmosphere (3 min @1050 C (RTA) or
≈10 min at 960C (classic) )
• 5th Contact etching and metal deposition – Opening of pillar in 40nm oxide for contact between metal and implants– Deposition of ≈ 800nm of Aluminum– Passivation (not simulated)– Opening in passivation (not simulated)
Process Simulation
N+ Implant• Provide Ohmic contact
with Aluminum• Form the main junction of
the diode
Al Electrode• Provide Ohmic contact
with implant• Formation of field plates
around implant
P-Spray insulation • Cut the electron channel
between electrodes• Increase radiation hardess
(ionizing damage)
Process Simulation
N+ Implant• Provide Ohmic contact
with Aluminum• Form the main junction of
the diode
Al Electrode• Provide Ohmic contact
with implant• Formation of field plates
around implant
P-Spray insulation • Cut the electron channel
between electrodes• Increase radiation hardess
(ionizing damage)
Process SimulationDoping width
Pixel pitch
Thickness• P-Spray Dose/Energy• N implant dose/Energy• P+ implant dose/Energy• Diffusion time/temperature
The 2D Pixel model is parametrized
5th "Trento" Workshop on Advanced Silicon Radiation Detectors, Manchester, UK
9
TCAD Device simulation principles
)()(
)()(
npcqV
nDEnRGqdt
dnq nnnn
It can be proven the analytical
solution is part of an Hilbert space. By choosing a set of basis
function covering this Hilbert space, we can truncate this set
and obtain an aproximate solution if the solution is locally
polynomial over each mesh element ’s domain
10
PhysicsPhysics ModelsMobility Concentration-dependent mobility (fit to
experimental data), Parallelfield dependent mobility (fit to
experimental saturation velocities)
Generation recombination and trapping
Modified concentration dependent Shockley-Read-Hall
Generation/recombination (for treatment of defects)
Impact ionization Selberherr’s Impact ionization model
Tunneling Band-to-band tunnelling, Trap-Assisted tunneling
Oxide physics Fowler-Nordheim tunnelling, interface charge accumulation
11
Generation/Recombination
• Modified Shockley-Read-Hall G/R– A sum of SRH contribution by each trap– Γ is the degeneracy of the trap, ni the intrinsic
concentration of carriers
)()(
)()(
2
,
kTEfEi
ipi
kTEiEf
ini
ii
ipn
ennenp
npnR
RR
12
Generation/Recombination• Transient behaviour of traps
σn,p is trap capture cross-section
vn,p is thermal velocity
ni is intrinsic concentration
FtA,TD the probability of ionization
NtA,TD space charge density
))1(
())1((
))1(
())1((
kTEE
itAtApp
kTEE
itAtAnnttA
kTEE
itDtDnn
kTEE
itDtDppttD
tiit
itti
enF
pFvenFFnvdt
dN
enF
nFvenFFpvdt
dN
pptrapp
nntrapn
11
Electron capture
Electronemmision
Holecapture
Holeemmision
holecapture
holeemmision
electroncapture
electronemmision
Device Simulation
• While computing power is limited, focus was put on 2D simulation of pixel geometries– Valid for « decoupled » region of a pixel
• Rise time of the pulse • Charge sharing
– Not valid for corners region, fondamentally 3D quantities• Leakage current• 3-4 pixel charge sharing
2D simulation assume a z dimension of 1um to conserve dimension in the drift-diffusion equation
Device Simulation
• DC Simulation :– Three thicknesses studied : 50,100,150 um– Three doped region width studied : 35,40,45 um– 4 bias voltages : -2.5V, -5V ,-7.5V, -10V
• Transient simulation :– M.I.P trajectory normal to surface– impact a 0, 1 ,2 ,3, 5 um from middle point
between pixels
Device Simulation: Potential distribution
-2.5V -5V
-7.5V -10V
P-spray insulation
-2.5V -5V
-7.5V -10V
Pulse Shape and Rise time
50 um thick sensors, 55um pitch , 45um electrodes
Pulse Shape and Rise time
50,100,150 um thick sensors, 55um pitch , 45um electrodes
Pulse Shape and Rise time
50,100,150 um thick sensors, 55um pitch , 45um electrodes
Pulse Shape and Rise time
50 um thick sensors, 55um pitch , 45um electrodes
Charge Sharing
50um thick sensors, 55um pitch , 45um electrodesΔX is the distance front middle point between pixels
Charge Sharing
50um thick sensors, 55um pitch , 40um electrodesΔX is the distance front middle point between pixels
Conclusion
• TCAD Simulation software deployed at CERN– 20 license on the way to perform massive parameter scan
and analysis– Possibility right now to perform complex 2D Simulation– Preliminary results show rise time not an issue for timing,
timing in pixel cluster might be an issue• To-Do
– Extend simulation to 3D – Input Eta functions in digitizer to compare with actual results – More studies possible (biasing through vias ?, Heat, stress
effects ?)