Numerical and Analytical Models of Selective Laser Annealing of Silicon-On-Insulator for 3-D Integration

Similar documents
Highly Efficient and Anomalous Charge Transfer in van der Waals Trilayer Semiconductors

Numerical Simulation of Si Nanosecond Laser Annealing by COMSOL Multiphysics

THEORETICAL ANALYSIS OF THE TWO-TERMINAL MOS CAPACITOR ON SOI SUBSTRATE

Introducing the RoVaCBE Flagship project: Roll-to-roll Vacuum-processed Carbon Based Electronics. Dr Hazel Assender, University of Oxford

Imaging Methods: Scanning Force Microscopy (SFM / AFM)

LASER-INDUCED TEMPERATURE RISE IN A COMPOSITE SANDWICH STRUCTURE

J. Price, 1,2 Y. Q. An, 1 M. C. Downer 1 1 The university of Texas at Austin, Department of Physics, Austin, TX

Temperature and Silicon Film Thickness Influence on the Operation of Lateral SOI PIN Photodiodes for Detection of Short Wavelengths

Melting and solidi cation of Pb nanoparticles embedded in an Al matrix as studied by temperature-modulated di erential scanning calorimetry

Finite Element Simulation Of Laser-Induced Diffusion In Silicon

Supplementary Figures

Transient temperature distributions produced in a two-layer finite structure by a dithering or rotating laser beam

Photon Energy Dependence of Contrast in Photoelectron Emission Microscopy of Si Devices

Chapter 10. Nanometrology. Oxford University Press All rights reserved.

Development and Characterization of High Frequency Bulk Mode Resonators

Modelling of temperature profiles in Nd:YAG laser annealed GaAs/AlGaAs quantum well microstructures

Dopant and Self-Diffusion in Semiconductors: A Tutorial

Black phosphorus: A new bandgap tuning knob

ELECTRICAL PERFORMANCES EVALUATION OF ISOLATION STRUCTURES BY COUPLED PROCESS AND DEVICE SIMULATIONS.

A neutron polariser based on magnetically remanent Fe/Si supermirrors

1.1 FEATURES OF SPECTROSCOPIC ELLIPSOMETRY

Supporting Information

Characterization of deep defects in CdSyCdTe thin film solar cells using deep level transient spectroscopy

Optically-Pumped Ge-on-Si Gain Media: Lasing and Broader Impact

Graduate Preliminary Examination, Thursday, January 6, Part I 2

Mal. Res. Soc. Symp. Proc. Vol Materials Research Society

and the radiation from source 2 has the form. The vector r points from the origin to the point P. What will the net electric field be at point P?

Chalcogenide semiconductor research and applications. Tutorial 2: Thin film characterization. Rafael Jaramillo Massachusetts Institute of Technology

A FEM STUDY ON THE INFLUENCE OF THE GEOMETRIC CHARACTERISTICS OF METALLIC FILMS IRRADIATED BY NANOSECOND LASER PULSES

A kinetic study of the ordering process in ternary III V semiconductor alloys

Nanostructure. Materials Growth Characterization Fabrication. More see Waser, chapter 2

Chapter 12. Nanometrology. Oxford University Press All rights reserved.

Mat. Res. Soc. Symp. Proc. 406, (1996).

Quality Factor Thickness (nm) Quality Factor Thickness (nm) Quality Factor 10

Solutions for Assignment-6

Light-induced spiral mass transport in azo-polymer films under vortex-beam illumination Supplementary Information

In-situ Multilayer Film Growth Characterization by Brewster Angle Reflectance Differential Spectroscopy

b imaging by a double tip potential

Spectroscopic Ellipsometry (SE) in Photovoltaic Applications

Transparent Ohmic Contacts to N-polar n-type GaN

Supplementary documents

Supplementary Figures

Lecture 6. Alternative storage technologies. All optical recording. Racetrack memory. Topological kink solitons. Flash memory. Holographic memory

Nova 600 NanoLab Dual beam Focused Ion Beam IITKanpur

Xing Sheng, 微纳光电子材料与器件工艺原理. Doping 掺杂. Xing Sheng 盛兴. Department of Electronic Engineering Tsinghua University

Two-Dimensional simulation of thermal blooming effects in ring pattern laser beam propagating into absorbing CO2 gas

Soft X-ray multilayer mirrors by ion assisted sputter deposition

Physics 53. Thermal Physics 1. Statistics are like a bikini. What they reveal is suggestive; what they conceal is vital.

Channel Optical Waveguides with Spatial Longitudinal Modulation of Their Parameters Induced in Photorefractive Lithium Niobate Samples

Characterisation of Nanoparticle Structure by High Resolution Electron Microscopy

Influence of Size on the Properties of Materials

1 The formation and analysis of optical waveguides

Surface Plasmon Resonance. Magneto-optical. optical enhancement and other possibilities. Applied Science Department The College of William and Mary

Supporting Online Material for

Nanostrukturphysik (Nanostructure Physics)

Segmented 1.55um Laser with 400% Differential Quantum Efficiency J. Getty, E. Skogen, L. Coldren, University of California, Santa Barbara, CA.

The Low Temperature Physics of Thin Films Superconducting Tin and Monolayer Graphene

Unusual Molecular Material formed through Irreversible Transformation and Revealed by 4D Electron Microscopy

Au-Ti THIN FILMS DEPOSITED ON GaAs

Supplementary Information

SUPPLEMENTARY INFORMATION

Resistance Thermometry based Picowatt-Resolution Heat-Flow Calorimeter

Section 7: Diffusion. Jaeger Chapter 4. EE143 Ali Javey

H loss mechanism during anneal of silicon nitride: Chemical dissociation

Mechanisms of Visible Photoluminescence from Size-Controlled Silicon Nanoparticles

is the minimum stopping potential for which the current between the plates reduces to zero.

Guidelines for more accurate determination and interpretation of effective lifetime from measured quasi-steady-state photoconductance

Resonator Fabrication for Cavity Enhanced, Tunable Si/Ge Quantum Cascade Detectors

Metamaterials & Plasmonics

MINIMIZING REFLECTION AND FOCUSSING OF INCIDENT WAVE TO ENHANCE ENERGY DEPOSITION IN PHOTODETECTOR S ACTIVE REGION

Simulation of Laser-Material Interactions for Dynamic Transmission Electron Microscopy Experiments

Quantum Condensed Matter Physics Lecture 12

Asymmetrical heating behavior of doped Si channels in bulk silicon and in silicon-on-insulator under high current stress

Accurate detection of interface between SiO 2 film and Si substrate

Plastic Electronics. Joaquim Puigdollers.

Laser processing of materials. Temperature distributions

SUPPLEMENTARY INFORMATION

OPTICAL ANALYSIS OF ZnO THIN FILMS USING SPECTROSCOPIC ELLIPSOMETRY AND REFLECTOMETRY.

Temperature Dependence of the Diffusion. Coefficient of PCBM in Poly(3-hexylthiophene)

Kavli Workshop for Journalists. June 13th, CNF Cleanroom Activities

Secondary Ion Mass Spectroscopy (SIMS)

UNIVERSITY OF CALIFORNIA College of Engineering Department of Electrical Engineering and Computer Sciences. Fall Exam 1

Section 2 ADVANCED TECHNOLOGY DEVELOPMENTS

Nanoacoustics II Lecture #2 More on generation and pick-up of phonons

A faster, more accurate way of characterizing cube beamsplitters using the Agilent Cary 7000 Universal Measurement Spectrophotometer (UMS)

Anisotropic spin splitting in InGaAs wire structures

Lecture 6. Rapid Thermal Processing. Reading: Chapter 6

Energy Spectroscopy. Ex.: Fe/MgO

Chapter 7. Solar Cell

Outlines 3/12/2011. Vacuum Chamber. Inside the sample chamber. Nano-manipulator. Focused ion beam instrument. 1. Other components of FIB instrument

Nanocomposite photonic crystal devices

EE 527 MICROFABRICATION. Lecture 5 Tai-Chang Chen University of Washington

BETTER DESIGN AND NEW TECHNOLOGIES IMPROVE LASER POWER MEASUREMENT INSTRUMENTATION

Supplementary Figure S1. AFM images of GraNRs grown with standard growth process. Each of these pictures show GraNRs prepared independently,

SURFACE RELIEF GRATING AND RETARDAGRAPHY: OPTICAL MANIPULATION OF AZOBENZENE POLYMER FILMS AND ITS APPLICATIONS

Heterogeneous vortex dynamics in high temperature superconductors

Title of file for HTML: Supplementary Information Description: Supplementary Figures and Supplementary References

Supporting Information

SHG Spectroscopy. Clean surfaces Oxidation SOI wafer

SUPPLEMENTARY MATERIALS FOR PHONON TRANSMISSION COEFFICIENTS AT SOLID INTERFACES

Transcription:

445 SIMULATION OF SEMICONDUCTOR DEVICES AND PROCESSES Vol. 4 Edited by W.Fichtner.D.Aemmer - Zurich (Switzerland) September 12-14,1991 - TIartung-Gorre Numerical and Analytical Models of Selective Laser Annealing of Silicon-On-Insulator for 3-D Integration A. Terao? and F. Van de Wiele Laboratoire de Microelectronique, Universite Catholique de Louvain Place du Levant 3, B-1348 Louvain-la-Neuve, Belgium Abstract Both numerical and analytical models have been developped to simulate the thermal behaviour of an SOI substrate covered with anti-reflective and reflective stripes during a laser-induced zone-melting recrystallization process. The models are based on completely different sets of hypotheses and appear truely complementary. In particular, results obtained with the moreflexibleanalytical model suggested how those given by the numerical one could be interpreted and exploited to gain maximum information. The selective laser annealing introduced by J.-P. Colinge in 1982 [1] is still the only technique suitable for obtaining deposited layers of device-worthy monocrystalline silicon, and hence for three-dimensional integration. Although it has evolved since its invention, its principle has remained unchanged. A polysilicon layer is grown on top of an oxide covered wafer and then zone-melted with a scanning laser beam. A pattern of alternating anti-reflective (AR) and reflective (R) coatings deposited on the film modulates the power absorbed by the silicon and creates thermal gradients (Fig. 1). The anti-reflective regions reach a higher temperature and thus recrystallize later than the neighbouring reflective regions. All crystalline defects concentrate at the middle of those regions, leaving the rest of the layer monocrystalline and defect-free. The optimization of this technique is very delicate, due to difficult control of numerous parameters : laser power, beam diameter, absorbance under AR and R coatings, substrate temperature, scanning velocity and direction, etc. Simulations could not replace all experimental studies but can help understanding the influence of each of those parameters on the thermal profile induced by the laser beam. 1 Numerical simulation The complexity of the problem arises from its three-dimensional nature : the layers are stacked in one direction (z), the anti-reflective and reflective stripes stretch into another (y), and the laser beam is scanned along a third (v). A three-dimensional numerical simulator would have been very bulky and computer time-consuming. So, only a 2-D simulator has been implemented, limited to a plane (xz) perpendicular to both the layered structure and the AR/R stripes. Moreover, the region under study was reduced to half a period A of the stripe pattern, with periodicity and symmetry conditions at boundaries. These hypotheses are strictly valid only at the middle of a stationary laser spot. A quasistatic assumption allows us to extend the applicability of the model to dynamical problems, 'Senior Research Assistant of the National Fund for Scientific Research, Belgium

446 AR coaling Si" Si02" Figure 1: Principle of selective laser recrystallization but the symmetry hypothesis will still limit the accuracy of this solution near the edge of the laser spot. In fact, almost all lateral heat flows are neglected, in both directions perpendicular and parallel to the plane of the model. There only remain an in-depth heat transmission and exchanges between adjacent AR and R regions. The thermal equations were solved with a finite difference method, taking into account variations of optical and thermal coefficients with phase transitions. The equations are : dt (r~,t) v^nff p(r,iy = -V J( f<l ) + Q (r - it ) - H( P j) dt (1) J(?,t) = -K P (?,T)VT { p it) (2) C P(?,T) [Jcmr z K- 1 ) is the specific heat, J {ft) [Js-^m- 2 ] is the heat flow, Q { ~ t) [Js~ l cm -31 is the density of absorbed laser power, i/^r) [Js~ l crn~ 3 ] is the heat generation rate for fusion and solidification, and K^T) [J s^cm' 1 K~ ] ) is the thermal conductivity. The incident laser beam power is gaussian : Pi, (x,y,t) (l-u 2Po -2 I l) 2 +(y-l., < 0 2 IT ur (3) where P 0 [W] is the total power of the beam, w [cm] is its radius, and v x and v y [cms -1 ] are the two components of the scan velocity. This power density is modulated by the AR/R stripe pattern and by the absorption profile in the multilayer structure : Q(f,t) - F (l x,z) P (x,y.t) (4) F does not depend on y as the stripes are kept parallel to that direction. Starting from an equilibrium state with no laser power, i.e. t -co, the time variable was increased step by step. At each step, the 2-D system was solved with an ADI (Alternating Direction Iteration) method. When the scanning direction is parallel to the stripes, i.e. v x - 0, the result, given as a function of time, can be reinterpreted to give the instantaneous temperature

447 profile along a line in the same direction. This is done by establishing an equivalence between the coordinate y and the time t : 2 PQ 2 I n+(»o-"i/') 2 Q(xo,yo,z 0,t) = F { 2, xo2o) ---^e =3 for y 0 fixed and t variable 2 PQ : J o+(y-''y'o) 2 Q{xo <y,z 0,to) - F (^xo,z 0 )-^2 e w ' for *o fixed and y variable (5) For all other scanning directions 1, this can not be done and much more computing is needed to determine the shape of the melted zone. 2 Analytical modelling In order to complete this 2-D simulator, an analytical model has been developped, that takes account of the whole structure and 3-D heat flows. Of course, an analytical model could not pretend to be more general and accurate than a numerical one and a series of other approximations had to be made. The absorbed laser power was divided in two : a gaussian component Qo an d a correction Q v for the stripe pattern : Q(x,y,z,t) = Qo(x,y,z,t) + Qp(x,y,z,t) (6) Each component gives rise to a heat flow and thus two components of temperature can be computed. They were simply added, assuming a small magnitude for the perturbative term : T (x,y,z,t) = T 0 (x,y,z,t) + T V (x,y,z,x) ( 7 ) For the first term, a 3-D equation was solved only in the bulk silicon wafer, whereas a 1-D thermal flow was assumed in the thin surface layers of oxide and silicon. The 3-D part is based on an analysis given in reference [2]. The 1-D part is a simple integration of equations (1) and (2), with the quasi-static assumption (^ = 0). For the second term, the dependance in z was dropped and the heat flow was considered only in the plane of the silicon film, as there is no net flow toward the depth of the wafer and the silicon layer is thin compared to the width of the AR and R stripes [3]. Apart from a gaussian factor due to the laser beam profile, Q p has a periodical crenel shape, with period A. A Fourier decomposition can be applied : 2P 0 _ 2 («-«*o a +(»-v) 2 ~ / 27r \ Q**.v.t) =-tf e ^ Z^cos^ xj (8) Computations were limited to the first order term. With those hypotheses and at the expense of one numerical integration, it was possible to compute the instantaneous temperature profile under the moving laser beam with a separation of variables : T P (x, y,t) = T p i( Vit ) cos ( x) + (9) This model is far easier to handle than the numerical simulation because all variables (x, y, and t) can be handled independently, and results can be rapidly presented in different forms : evolution of temperature at a given point, instantaneous thermal profile along a line, evolution of 'Actually, a similar manipulation can be done for a scan perpendicular to the stripes because F(^x,y) is periodic.

448 Figure 2: Some results obtained with the analytical model : 1-D thermal profiles at the centre of AR and R zones, and instantaneous 2-D isotherm isotherms in the film plane (fig. 2). The latter is one of the most interesting, since the isotherm at the melting point of silicon can be considered to represent the liquid-solid interface. This is an approximation, since the analytical model can not account for any phase transition. 3 Discussion The analytical model allowed to study the undulations of the edge of the melted zone for different positions of the laser spot relative to the AR/R stripes. To resume all situations, we computed two curves, named M a and M r, representing the locations of respectively the outward and the inward peaks of the melted zones (at the center of respectively the AR and R zones) for all positions of the stripes relative to the spot. For a fixed position, the edge of the melted zone (curve M) is confined between those curves (Fig. 3). For a scanning parallel to the stripes, the pattern is stationnary, but for any slanted or perpendicular scan, the curve M glides between the curves M a and M r. An important conclusion is that the two curves M a and M r seem to be independant of the scanning direction. This is not obvious from the analytical expressions, but can be verified on numerical results. This suggests a way to extend the scope of the numerical simulations. As computations are much easier for a scan parallel to the stripe structure, the curves M a and M T can be determined for that configuration. Then, these curves are simply rotated for other scanning directions. An approximation of the shape of the melted zone can be obtained by alternately joining the points on the curves at the middle of AR and R zones. An a posteriori justification can be found assuming that the difference between AR and R zones is not too important, and that the size of the model is small enough. The region under study, wide as half the period A and infinitely thin, can be considered as a tiny probe sensing the temperature both under AR and R stripes

449 Figure 3: Curves M a and M r limiting the edge of the melted zone M for a slanted scan at a given location. Only the mean position of this probe is important, its orientation has little influence. It is as if the temperature at the middle of AR and R zones were two independant functions evaluated at the same point. A second important problem is the comparison with experimental results. Although the numerical simulation can give very accurate and detailled data, it is difficult to obtain corresponding experimental data because they are both microscopic and transient. The analytical model can be modified -in fact, simplified- to give the thermal profile only at the level of the center of the laser spot [3]. There, the temperature rise is near its highest and computed widths of the melted zone are maximum. This can be compared to the track left by a single scan across the stripes (fig. 3). Again transposing to the numerical model, we can obtain similar results, though with a less elegant trial-and-fail method. Using the preceding assumption, computations were of course carried out for a parallel scan and then transposed for slanted and perpendicular scans. The figure 4 shows a comparison between the three results. The fitting is reasonably good, considered that the models contain no adjustment parameter. 4 Conclusion A physical model, whether numerical or analytical, is always a partial reflection of reality. We have shown here a case wherein two models, based on entirely different hypotheses and principles, could provide complementary results and lead to conclusions each one could not have revealed independently. The analytical model gives a three-dimensional, global point of view, and allows flexible manipulations by external computations. The numerical one is on the contrary cumbersome for automated handling, but gives a detailled description of a restricted region. References [1] J.-P. Colinge, E. Demoulin, D. Bensahel, and G. Auvert, "Use of Selective Annealing for Growing very Large Grain Silicon-On-Insulator Films," Appl. Phys. Lett, 41(4), pp. 346-7 (15 Aug. 1982)

450 140 120 100 S a B 80 60 40 20 Numerical A zone Numerical R zone Experimental A zone Experimental R zone Analytical A zone Analytical R zone 0 10 12 14 16 18 20 Laser power [ W] Figure 4: Comparison of experimental and simulated melted widths at the centre of AR and R stripes [2] Y.I. Nissim, A. Lietoila, R.B. Gold, and J.F. Gibbons, "Temperature Distributions Produced in Semiconductors by a Scanning Elliptical or Circular cw Laser Beam," J. Appl. Phys., 51(1), 274-279 (Jan. 1980) [3] A. Terao, P. Paelinck, D. FJandre, P. Verlinden, and F. Van de Wiele, "Analytical Model for Selective Laser Annealing of SOI," European SOI Workshop, Meylan - France, p. A - 04 (March 1988)