﻿This ReadMe-FLA.txt file was generated on 05.01.2022 by M. Bilal Khan

ABOUT RADICAL

RADICAL is a Horizon 2020 FET-Open project to develop a Fundamental Breakthrough in Detection of Atmospheric Free Radicals. This will be a small, low-cost electronic sensor that will ‘sniff’ out short-lived radicals. This could be a step-change in how scientists monitor and model the role of radicals in air quality and climate change. 

RADICAL is led by University Colleage Cork (Ireland), with a team of multidisciplinary partners across Europe including HZDR (Germany), University of York (United Kingdom), National  Technical University of Athens (Greece), Smartcom (Bulgaria), and UCC Academy (Ireland).

The RADICAL project has received funding from the European Union (EU)'s Horizon 2020 research and innovation programme under grant agreement No 899282.

More info: https://cordis.europa.eu/project/id/899282
Project website: https://radical-air.eu/ 

GENERAL DATASET INFORMATION

1. Title of Dataset: 
<FLA-Data>

2. Author Information
	A. Principal Investigator Contact Information
		Name: Yordan M. Georgiev
		Institution: HZDR, Dresden, Germany
		Address: Bautzner Landstrasse 400, 01328 Dresden, Germany
		Email: y.georgiev@hzdr.de

	B. Associate or Co-investigator Contact Information
		Name: M. Bilal Khan
		Institution: HZDR, Dresden, Germany
		Address: Bautzner Landstrasse 400, 01328 Dresden, Germany
		Email: m.khan@hzdr.de

3. Date of data collection (single date, range, approximate date): 
Nov 2020-2021

4. Geographic location of data collection: 
Dresden, Germany


DATA & FILE OVERVIEW

File List: 

Zip folder <FLA-Data> contains all the images and associaed origin files used in the manuscript.
<FLA-Manuscript-Khan.pdf> is the manuscript file. 
<FLA-Supporting.pdf> contains supporting information. 



METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
The silicidation lengths are extracted from the scanning electron microscopy images of the samples annealed in either flash lamp annealing or 
rapid thermal annealing environment. 

Temperature simulation overview:

Layer system: 	1)	20 nm Ni – 20 nm Si – 102 nm SiO2 – 775 µm Si
		2)	20 nm Si – 102 nm SiO2 – 775 µm Si
		3)	102 nm SiO2 – 775 µm Si
FLA front side, no preheating: 	a) 3.6 kV 6 ms, 90 Jcm-2 
b) 4.3 kV 3 ms, 70.4 Jcm-2
Optical simulation:
FLA spectrum: SpectrumBraun3400V3ms - 250-1000.txt
Reflectance:	1)	0.64
		2)	0.722
		3)	0.281
Absorbed energy density:	1a) 32.4	1b) 25.3
				2a) 25		2b) 19.6
				3a) 64.7	3b) 50.6
 correction factor: 	1
Absorption file: 	absorption1-3.dat (will be normalized to 1)
Approximated layer stack:
20 nm Ni	linear mesh, 40 nodes, mesh size 0.5 nm
20 nm Si	linear mesh, 40 nodes, mesh size 0.5 nm
102 nm SiO2	linear mesh, 204 nodes, mesh size 0.5 nm
775 µm Si	asymmetric geometrical mesh, 5890 nodes, mesh size start 0.5 nm, ratio 2000
Heat dissipation: thermal radiation + heat convection (h=20 Wm-2K-1)

Results (Tpeak, T equilibrium): 
3)	6 ms	PH 300 K	921 K		722 K		Temp-System3-6ms-3600V-90Jcm-2
	3 ms	PH 300 K	1293 K		628 K		Temp-System3-3ms-4300V-70_4Jcm-2
2)	6 ms	PH 300 K	490 K		474 K		Temp-System2-6ms-3600V-90Jcm-2
	3 ms	PH 300 K	563 K		432 K		Temp-System2-3ms-4300V-70_4Jcm-2
1)	6 ms	PH 300 K	561 K		513 K		Temp-System1-6ms-3600V-90Jcm-2
	3 ms	PH 300 K	685 K		473 K		Temp-System1-3ms-4300V-70_4Jcm-2

Pulse file: 		Pulse_6ms_3000V.txt, 
			Pulse_3ms_3200V.txt
E-calibration file:	E-Dichte_FLA01-29-10-19_6ms.opj, Book 1, column P
			E-Dichte_FLA01-13-06-19_3ms.opj, Book1, column G


cross check:	3a:	715 K		3b:	630 K
		2a:	470 K		2b: 	435 K
		1a:	520 K		1b: 	475 K



2. Methods for processing the data: 
< >

3. Instrument- or software-specific information needed to interpret the data: 
Origin

4. Standards and calibration information, if appropriate: 
< >

5. Environmental/experimental conditions: 
< >

6. Describe any quality-assurance procedures performed on the data: 
< >

7. People involved with sample collection, processing, analysis and/or submission: 



DATA-SPECIFIC INFORMATION FOR: [FILENAME]
<repeat this section for each dataset, folder or file, as appropriate>

1. Number of variables: 
< >

2. Number of cases/rows: 
< >

3. Variable List: 
<list variable name(s), description(s), unit(s)and value labels as appropriate for each>
< >

4. Missing data codes: 
<list code/symbol and definition>
< >

5. Specialized formats or other abbreviations used: 
< >