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Ion Implantation and Temperature  HEROS Modeling

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1 Ion Implantation and Temperature  HEROS Modeling
Qiyang Hu , Shahram Sharafat, Nasr Ghoniem Mechanical & Aerospace Engineering University of California, Los Angeles San Diego, Aug 8th, 2006

2 Leads to confidence in predicting IFE conditions
Objectives Calibrate HEROS with a wide range of applications: Deep implantation in pulses by UNC Shallow implantation in steady states by IEC condition Shallow implantation in steady states by Nishijima’04 Leads to confidence in predicting IFE conditions

3 HEROS Code Improvement
Simulation Discussion Conclusions and Future Plans

4 Previous HEROS code has serious numerical instability problems:
In most cases: Time to be simulated < 10 sec Running Time > 6 hours Time step > 2000 steps Temperature range < 2000 K

5 HEROS model is improved:
Still, reaction-diffusion rate equation: Simplify the equation Ignore some cluster effects: (e.g. vacancy clusters, interstitial clusters etc.) 18 variables/equations  13 Ignore bubble coalescence

6 HEROS numerical scheme:
Temperature profile Within a bin, each C(i) is in an average sense Implantation profile W back W front variable bin size

7 Recent Progresses in Modeling Helium Behavior:
Can integrate equations for thousands of pulses. Can include rapid temperature transients. Aim to calibrate model with experimental data.

8 HEROS Code Improvement
Simulation Discussions Conclusions and Future Plans

9 First, we want to use our new HEROS code to model UNC(’05) & UWM(’04) conditions.
We re-simulated UNC & UWM’s implantation cases Helium Implantation Damage

10 UNC’s Temperature Profile
( L. Sneed,2005 )

11 After 1 cycle of 1019 He/m2: Temperature C Time (sec) 2000C 850C
3000 3060 Time (sec)

12 After 10 cycle of 1018 He/m2/cycle:
Temperature C 2000C 850C 300 360 720 Time (sec)

13 After 100 cycle of 1017 He/m2/cycle:
Temperature C 2000C 850C 30 90 180 Time (sec)

14 After 1000 cycle of 1016 He/m2/cycle:
Temperature C 2000C 850C 3 63 126 Time (sec)

15 Helium Retention: Diffuse too fast in HEROS Short pulse OK! Cycles:
1000 100 10 1

16 Bin Number=20; Total width=10m
Bubble & Radius Movies: HEROS also gives the spatial distribution information Bin Number=20; Total width=10m

17 For UWM’s IEC conditions: Some notes before comparisons:
Surface bubble  Surface pore Surface bubble density  (volume bubble density|surf)2/3 We focus on steady condition.

18 New HEROS code is stable and gives the information about bubble (pore) sizes:

19 So does the pore density …

20 We also calibrate our model by Nishijima group’s experiments (ITER):
Temperature: = 1950 C Gh 1m x

21 HEROS also gives the spatial distribution information (average sense):
Bin Number=20; Total width=10m

22 HEROS for temperature modeling:
Surface Heating Emissive effect can be ignored B.C. Max

23 HEROS Code Improvement
Simulation Discussion Conclusions and Future Plans

24 Total time to be simulated
Conclusions: Capabilities of HEROs code are largely improved Our HEROS can integrate equations : with thousands of pulses. with rapid temperature transients. Need to improve: Helium: More trapping mechanism Heat: new mechanism HEROs Total time to be simulated Running time Required time steps Temperature range Previous <10 sec >6 hrs >2000 steps <2000 K Current >106 sec <5 mins < 100 steps <3500 K

25 Planning on HEROS: Implement recent “pulsed” conditions:
UWM UNC Implement IFE conditions Add bubble coalescence Exceed the 0-order (average) description Temperature/carbon diffusion problem

26 We wish to develop a unified temperature/diffusion/microstructure code
Containing: Temperature transients Helium distribution Carbon distribution Point defect/displacement damage

27 Thanks!

28 Backup Slides

29 Helium retention for IEC condition:
Most of He are in grain boundary


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