Characterization of Amorphous and Microcrystalline Silicon using Raman Spectroscopy

Applications | 2009 | Thermo Fisher ScientificInstrumentation
RAMAN Spectroscopy, Microscopy
Industries
Materials Testing, Semiconductor Analysis
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the Topic


Photovoltaic devices built from thin film silicon require precise control of material phases to achieve high energy conversion efficiency and long term stability. The relative amounts and spatial distribution of amorphous and microcrystalline silicon directly impact cell performance. Raman spectroscopy provides a non invasive, rapid and quantitative tool for phase analysis, making it essential for quality control in solar cell manufacturing.

Objectives and Study Overview


This application note outlines how Raman spectroscopy coupled with chemical imaging can be employed to:
  • Quantify the proportion of amorphous versus crystalline silicon using Beer Law based peak height ratios.
  • Generate two dimensional maps of thin film samples to monitor spatial uniformity of phases.
  • Identify practical considerations and pitfalls when applying Raman methods across different instruments.

Methodology and Instrumentation


Raman spectra were acquired on a DXR Raman microscope equipped with:
  • 532 nm excitation laser with a built in laser power regulator.
  • Full range grating and high sensitivity detector.
  • Motorized stage for point by point mapping.
  • OMNIC 8 software for spectral acquisition.
  • OMNIC Atlas mapping software to generate chemical images from peak height ratios.

Measurements focused on the sharp crystalline silicon band at 521 cm⁻¹ and the broad amorphous silicon band centered at 480 cm⁻¹. Laser power was carefully controlled to avoid phase conversion.

Main Results and Discussion


Raman spectra from pure crystalline and predominantly amorphous samples displayed clearly resolved peaks at 521 cm⁻¹ and 480 cm⁻¹ respectively. Beer Law calculations based on the ratio of these peaks enabled accurate phase quantification. Mapping experiments revealed:
  • Line scans across 30 µm showed localized microcrystalline regions embedded in an amorphous matrix.
  • Two dimensional maps over 750 × 2250 µm areas highlighted gradients and heterogeneities in phase distribution.

Laser power studies demonstrated that excitation levels above 4 mW can induce conversion of amorphous to crystalline silicon. Below this threshold no measurable phase change occurred. The built in laser power regulator ensured reproducible conditions across multiple measurements.

Benefits and Practical Applications


Raman mapping of thin film silicon provides:
  • Quantitative phase analysis that supports process optimization in photovoltaic manufacturing.
  • Spatially resolved chemical images to detect defects or non uniform deposition.
  • Non destructive testing compatible with in line quality control.

Future Trends and Applications


Advances in Raman instrumentation and data processing are expected to:
  • Enable faster large area mapping with higher spatial resolution.
  • Integrate machine learning algorithms for automated phase classification.
  • Extend the technique to other emerging thin film materials and multilayer architectures.

Conclusion


Raman spectroscopy with controlled laser power and mapping capabilities offers a robust approach for characterizing amorphous and crystalline silicon in thin film solar cells. The technique delivers quantitative phase ratios and high resolution spatial information, supporting quality assurance and process development in photovoltaic manufacturing.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Use of the DXR Raman Microscope to Generate a Micron-Level Map of an Amethyst Sample
Application Note: 51560 Use of the DXR Raman Microscope to Generate a Micron-Level Map of an Amethyst Sample Timothy Deschaines, Pat Henson, Thermo Fisher Scientific, Madison, WI, USA Key Words • Dispersive Raman Spectroscopy • Hyperspectral Mapping • Library Searching…
Key words
raman, ramanamethyst, amethystdxr, dxrmapping, mappinghyperspectral, hyperspectralmcr, mcrmicroscope, microscopemultivariate, multivariatemap, mapatlµs, atlµsdarkfield, darkfieldmicroscopy, microscopychemical, chemicalomnic, omnicmicron
The DXR Raman Microscope for High-Performance Raman Microscopy
The DXR Raman Microscope for High-Performance Raman Microscopy
2008|Thermo Fisher Scientific|Applications
Application Note: 51569 The DXR Raman Microscope for High-Performance Raman Microscopy Tim Deschaines, Pat Henson, Thermo Fisher Scientific, Madison, WI, USA Introduction Key Words • Dispersive Raman spectroscopy • Confocal Depth Profiling • Spatial Resolution • Spectral Libraries One of…
Key words
microscope, microscoperaman, ramanspatial, spatialdxr, dxrcorrelation, correlationresolution, resolutiondepth, depthbead, beadsilicon, siliconmicron, micronethylene, ethylenegermanium, germaniumterephthalate, terephthalatetests, testsfirst
Raman Mapping of Single-walled Carbon Nanotube Distribution on Phase Separated Polystyrene and Polymethylmethacrylate
Technical Note: 51740 Raman Mapping of Single-walled Carbon Nanotube Distribution on Phase Separated Polystyrene and Polymethylmethacrylate Paulette Guillory, Timothy O. Deschaines, Thermo Fisher Scientific, Madison, WI, USA Introduction Key Words • Nicolet Almega XR • Carbon Nanotubes • Chemical Imaging…
Key words
raman, ramanswcnt, swcntimage, imagealmega, almegananotube, nanotubecarbon, carbonwalled, walledmapping, mappingcorrelation, correlationspectroscopy, spectroscopypolystyrene, polystyrenenanotubes, nanotubespolymethylmethacrylate, polymethylmethacrylatechemical, chemicalstretching
The Raman Spectroscopy of Graphene and the Determination of Layer Thickness
Application note The Raman Spectroscopy of Graphene and the Determination of Layer Thickness Introduction The Raman spectra of graphene and graphite (composed Currently, a tremendous amount of study is being directed of millions of layers of graphene stacked together) are…
Key words
graphene, grapheneraman, ramanband, bandlayer, layermap, maplayers, layerslaser, laseromnic, omnicposition, positionmultilayer, multilayerspectroscopy, spectroscopyatlμs, atlμscontour, contourwavenumber, wavenumberthickness
Other projects
LCMS
ICPMS
Follow us
FacebookX (Twitter)LinkedInYouTube
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike