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microdose damage, and the problem of gate rupture in thin oxides which is less well

understood. Recent work (Johnston A.H., 2000) on catastrophic damage in linear circuits

shows that this remains a significant problem in space and more work needs to be done.

The optimization of the simulation results together with the modelling of novel devices

which will be produced for us in Crete (FORTH) will assist the design of the prototype of a

multi-touch screen based on FTIR technology for single display cockpits (IR LEDS) immune

to any radiation effects.

It is critical that soft errors (or single event upset (SEU)) (neutrons density increases with

height and neutrons with lower energy introduce SEUs) (Psarakis, 2008) which are induced

by ionizing radiation must be eliminated from the optoelectronic devices as they are used

in the aerospace industry (circuits with high fidelity requirements).

By comparing the effect of ionizing radiation on different material layers and thicknesses,

we aim to minimize the operational faults due to structural changes. It should be noted

that current research on packaging and device scaling has also improved the performance

of ICs.

6. References

Andoniadis H. ,(2003) Overview of OLED display technology, OSRAM

Bhattacharya Pallab (1997) Semiconductor Optoelectronic Devices, Prentice Hall, Upper

Saddle River, ISBN:0-13-495656-7, New Jersey

Drouin D. , Scanning, 29, Issue 3 , May 2007, 92 – 101

Freudenrich Craig (2004), How OLEDs Work,

Johnston A.H., (2000) 4th International Workshop on Radiation Effects on Semiconductor Devices

for Space Application, Tsukuba, Japan, (2000) Radiation Damage of Electronic and

Optoelectronic Devices in Space.

Kitabayashi Hiroyuki , Kawabata Yoshisumi , Matsubara Hideki, Miyahara Kenichi and So

Tanaka (2010). Development of High Power Infrared LED, Sei Technical Review, 70,

(April, 2010), 71-74

Papakitsos A., (2002) Lectures Notes on Applied Optoelectronics, TEI of Pireaus, Greece.

Psarakis M., (2008) Lecture Notes on Reliable embedded systems, University of Piraeus, Greece.

Lin Shih-Yen, Tseng Chi-Che, Lin Wei-Hsun, Mai Shu-Cheng, Wu Shung-Yi, Chen Shu-Han,

and Jen-Inn Chyi. (2010). Room-temperature operation type-II GaSb/GaAs

quantum-dot infrared light-emitting diode. Applied Physics Letters, 96, (March,

2010), ISSN: 0-553-37783-3

Xalas A., Sgouros N., Kouros P., Ellinas J., .(2009). One Display for a Cockpit Interactive

Solution, era-4 Conference Proceedings, ISSN:1791-1133, Spetses, September 2009, TEI

Piraeus, Aigaleo

Yariv Amnon (1976) Introduction to Optical Electronics Holt, Rinehart and Winston, ISBN:

9780030898921, New York

124

Optoelectronic Devices and Properties

Youtian Tao, Qiang Wang, Liang Ao, Cheng Zhong, Chuluo Yang, Jingui Qin, and Dongge

Ma. Highly Efficient Phosphorescent Organic Light-Emitting Diodes Hosted by

1,2,4-Triazole-Cored Triphenylamine Derivatives: Relationship between Structure

and Optoelectronic Properties, J. Phys. Chem. C, 114, 601–609, (2010)

Ziegler J., Biersack Jochen P., Ziegler Matthias D. (2010). SRIM - The Stopping and Range of

Ions in Matter, Lulu Press Co., Morrisville, NC, 27560 USA

7

Identification of Emergent Research Issues:

the Case of Optoelectronic Devices

Ivana Roche1, Nathalie Vedovotto1, Dominique Besagni1,

Claire François1, Roger Mounet1,

Edgar Schiebel2 and Marianne Hörlesberger2

1Institut de l’Information Scientifique et Technique (INIST-CNRS)

Allée du Parc de Brabois, CS 10310, 54519 Vandœuvre-lès-Nancy

2Austrian Institute of Technology (AIT)

Tech Gate Vienna, Donau-City-Straße 1, 1220 Wien

1France

2Austria

1. Introduction

The optoelectronic devices field is one of the last decade’s most promising technological

fields. Light emitting diodes gain more applications in cars and housing lighting, OLED

displays are introduced in electronic devices and consumer electronics. Optimization of

lighting power and tuning of light spectrum are well known important research topics.

Early recognition of new and alternative products and production processes is a strategic

necessity contributing to appropriate assessment and decision-making. Emerging

technologies are essential to advances in research, industry and society. But the detection of

emerging technologies remains unsolved.

An interesting introduction to the use of bibliometrics for the identification of upcoming

issues from online databases was published by Lancaster & Lee (1985). These authors

analyzed the spread of an issue from pure sciences literature to popular press, through

applied sciences literature. They measured the occurrence of a keyword over time in

different online databases covering scientific literature. Additionally they suggested a

procedure to identify growing issues in terms of time gradients of the number of published

articles where single keywords occur.

The selection tree introduced by Armstrong & Green (2007) gives an additional picture of

the landscape of the forecasting methods that could be employed to detect these emerging

technologies. This tree illustrates the dichotomy between judgmental and quantitative

forecasting methods and shows the great diversity of existing approaches like the Delphi or

the Nominal Group Technique ones. Forecasts are obtained in a structured way from two or

more experts. Other methods combine expert domain knowledge with statistical techniques

and allow the identification of causal forces acting on trends.

Even though the number of available data is large enough to apply quantitative methods,

the important question of the data type used for forecasting remains. The two data types

mostly used to detect new topics with bibliometric analysis are provided by bibliographic

126

Optoelectronic Devices and Properties

databases covering scientific literature and patent databases. These methods consist of

simple statistical techniques, such as growth curve analysis, or more sophisticated ones,

such as clustering or network analysis. A third data type, related to state-funded research

grants, is very interesting. The analysis of these three sources of information as a whole, and

not as separate entities, allows gaining an understanding of the triple-helix interfaces

between university, industry and government.

The framework for this study was the PROMTECH project (PROMTECH (2007)), financed

by the European Commission. The main goal of the project was to elaborate a methodology

enabling the identification of promising emerging technologies.

As the optoelectronic devices field turns out to be among the most promising ones, we focus

on it by identifying its emerging research topics. We then study their evolution by

considering data sets of bibliographic records related to two successive time periods and

represented by their associated keywords. We apply this diachronic approach to the

following analytical methodologies:

a “Diffusion Model” using a bibliometric filter that distributes keywords in different

diffusion stages in order to model the field terminology evolution (Schiebel &

Hörlesberger 2007). The visualization of the results was operated by the software

BibTechMon™, a bibliometric monitoring tool (Kopcsa & Schiebel 1998);

a cluster analysis enabling the identification of emerging research topics by comparing

the clusters related to each period (Roche et al. 2008). The clustering was operated by

the software-tool Stanalyst (Polanco et al. 2001) that produces a graphical

representation of the clustering results under the form of a network of clusters.

Firstly we refer to the data acquisition. Secondly the applied methodologies are illustrated.

Thirdly the results of the applied methodologies to the field ‘‘optoelectronic devices’’ are

presented. Finally we discuss the two approaches, summarize and conclude our discussion.

2. Data

The data framework is a sample recorded from PASCAL, a multidisciplinary bibliographic

database produced by the French institute for the scientific and technological information

(INIST-CNRS), that was specifically adapted to the purpose of our approach. PASCAL

provides broad multidisciplinary coverage of scientific publications and contains,

nowadays, about 20 million bibliographic records that are derived from the analysis of the

scientific and technical international literature published predominantly in journals and

conference proceedings. PASCAL is appropriate for the intended analysis, as each analyzed

document is registered by a very fine classification, much more sophisticated than the

category codes often employed in other sources of bibliographic data. The PASCAL

classification categories, named also classification codes, belong to a structured classification

scheme hugely detailed that is a taxonomy of every field and subfield of all the scientific

disciplines covered in the database.

In addition, PASCAL covers international publications in physics, chemistry, engineering

sciences, life sciences, and medicine and produces an indexing, on the one hand, by

keywords and, on the other hand, by classification categories, both given in the database

and assigned to the individual publications, either manually by scientific experts or

automatically based on a content analysis. The query operated in this work was based on

the information conveyed by these indexations. By extracting from the obtained corpus of

bibliographic records the keyword indexing we produced a terminology related to the

Identification of Emergent Research Issues:the Case of Optoelectronic Devices

127

studied domain. After a verification step, done by a scientific expert, that terminology can

be employed in our analysis.

The search focused on publications related, on the one hand, to Optoelectronics by means of

classification codes or keyword indexing and, on the other hand, to peripheral scientific

fields whose research issues, even if apparently far from the concerns of the researchers

working on Optoelectronics, could have an impact on this domain. The main idea is to

produce a finite space of exploration constituted by the information contained in the set of

records answering the search strategy. The choice of these peripheral scientific fields is

delicate. Indeed, if it is too large, the exploratory space could present a high level of noise

with a great number of records that will be definitively uninteresting and that we would

need to eliminate before analysis. But conversely, if the operated choice is too sharp, the

exploratory space could not reflect in a suitable way the scientific environment richness of

the studied domain and this silence would be very harmful for its analysis.

After some iterations, the list of peripheral fields converged towards: “Physics”, “Chemical

Industry”, “Physico-chemistry of polymers” and “Polymer industry”. The choice of these

fields was motivated by their interest towards the synthesis and characterization of

materials involved in optoelectronic devices. A search strategy has been detailed:

-

firstly, we looked for the PASCAL classified simultaneously in the field

“Optoelectronics” and in a field that is either “Physics” or “Chemical Industry” or

“Physico-chemistry of polymers” or “Polymer industry”:

-

then we added the records indexed by the keywords “LED” or “Electroluminescent

device” or “Optoelectronic device” and classified either in “Physics” or “Chemical

Industry” or “Physico-chemistry of polymers” or “Polymer industry”.

The result is a corpus of 8,169 bibliographic records all in all, divided into the periods from

2000 to 2004 and 2005 to 2010 delivers:

2,590 records for the first period (2000-2004)

5,219 records for the second period (2005-2009/20101)

The 8,169 bibliographic records (all years, 2000-2010) are assigned to more than 160 different

PASCAL codes, whereas a reference can be assigned to more than one code.

The first 20 fields with the biggest number of records in the two considered periods (2000-

2004 and 2005-2010) are showed, respectively, in Tables 2 and 3. Among the 16 fields

matching in both periods, 12 confirm their position or rise in the second period ranking, like

e.g. “Infrared, submillimeter wave, microwave and radiowave instruments, equipment and

techniques”, “Sensors (chemical, optical, electrical, movement, gas, etc)”, “Optical elements,

devices and systems”, “Material sciences: Methods of deposition of films and coatings ; film

growth and epitaxy” (see in table 2, the ranks 1 to 4, 6 to 9, and 12 to 15), and 4 fields lose

places in the ranking of the second period (see in table 3 the fields written in italic):

“Physico-chemistry of polymers: Organic polymers”, “Polymer industry: Technology of

polymers”, “Electronics: Materials”, “Electric, optical and optoelectronic circuits”.

Four fields appear in the top 20 field list in the second period: “Nanoscale materials and

structures: Fabrication and characterization”, “Structure and nonelectronic properties of

surfaces, interfaces and thin films”, “Natural energy”, “Materials science” and, conversely,

four fields disappear from the top 20 field list: “Industrial chemicals”, “Electrical

engineering. Electrical power engineering”, “General and physical chemistry”, “Computer

science: Software”.

1 2010 can not be complete: the data, recorded on June 2010, contains around a half of the expected

production of one entire year

128

Optoelectronic Devices and Properties

ACOUSTICS.

ANALYTICAL CHEMISTRY.

ATOMIC AND MOLECULAR PHYSICS.

BUILDINGS. PUBLIC WORKS.

CHEMICAL ENGINEERING.

CHEMICAL INDUSTRY AND CHEMICALS.

COMPUTER SCIENCE. CONTROL THEORY. SYSTEMS.

CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL,

CONDENSED MATTER: STRUCTURE, MECHANICAL AND THERMAL

CROSS-DISCIPLINARY PHYSICS: MATERIALS SCIENCE, RHEOLOGY.

EARTH, OCEAN, SPACE.

ELECTRICAL ENGINEERING. ELECTRICAL POWER ENGINEERING.

ELECTROMAGNETISM, ELECTRON, AND ION OPTICS.

ELECTRONICS.

ENERGY.

FLUID DYNAMICS.

FUNDAMENTAL AND APPLIED BIOLOGICAL SCIENCES.

GENERAL AND PHYSICAL CHEMISTRY.

GROUND, AIR AND SEA TRANSPORTATION, MARINE

HEAT TRANSFER.

INFORMATION SCIENCE. DOCUMENTATION.

INFORMATION, SIGNAL AND COMMUNICATION THEORY.

INORGANIC CHEMISTRY AND ORIGINS OF LIFE.

INSTRUMENTS, APPARATUS, COMPONENTS AND TECHNIQUES

MATHEMATICS.

MECHANICAL ENGINEERING. MACHINE DESIGN.

MEDICAL SCIENCES.

METALS. METALLURGY.

NUCLEAR PHYSICS.

OPERATIONAL RESEARCH. MANAGEMENT SCIENCE.

OPTICS.

ORGANIC CHEMISTRY.

PHYSICOCHEMISTRY OF POLYMERS.

PHYSICS OF ELEMENTARY PARTICLES AND FIELDS.

PHYSICS OF GASES, PLASMAS AND ELECTRIC DISCHARGES.

POLLUTION.

POLYMER INDUSTRY, PAINTS, WOOD.

SOLID MECHANICS.

TELECOMMUNICATIONS.

Table 1. General scientific fields present in the corpus “Optoelectronic devices”

Identification of Emergent Research Issues:the Case of Optoelectronic Devices

129

Rank

PASCAL classification scheme headings

Semiconductor electronics. Microelectronics. Optoelectronics.

1

Solid state devices

2

Physico-chemistry of organic polymers

3

Polymer industry: Technology of polymers

Infrared, submillimeter wave, microwave and radiowave

4

instruments, equipment and techniques

5 Electronics:

Materials

6

Condensed matter: Optical properties and spectroscopy

7 Industrial

chemicals

8

Electric, optical and optoelectronic circuits

9 Lasers

10

Electrical engineering. Electrical power engineering

11

Optical elements, devices and systems

12

Sensors (chemical, optical, electrical, movement, gas, etc)

13

Structure of solids and liquids; crystallography

Material sciences: Methods of deposition of films and coatings;

14

film growth and epitaxy

15

General and physical chemistry

Condensed matter: Electronic structure and electrical properties

16

of surfaces, interfaces and thin films

17 Computer

science:

Software

18

Optical instruments, equipments and techniques

19 Optical

materials

20

Optical sources and standards

Table 2. The most important fields in the first period (2000-2004) expressed by means of the

PASCAL classification scheme headings

At first sight, these evolutions suggest a decline in P2 of the number of records dealing with

the characterization of materials, for the benefit of documents dedicated to the study of

devices, as well as the emergence of new forms of materials as thin films and nanomaterials.

More than 200 journals contributed to form each of the two studied corpus. In the first

period, 9,666 authors working in institutions located in 69 different countries produce the

2,950 obtained records. In the second period, the number of authors is almost multiplied by

2 and the number of affiliation countries also rise to 81. In table 4, we show the top 10

affiliation countries for both periods. If the countries present in both lists are the same, their

rankings are quite different. The USA remains in the first place with an almost unchanged

rate, but we can see the remarkable ascent of China that doubles its affiliation rate coming

from the sixth to the second place. With the exception of Canada, all other countries see their

affiliation rate decreasing.

130

Optoelectronic Devices and Properties

Rank

PASCAL classification scheme headings

1 Semiconductor

electronics.

Microelectronics. Optoelectronics. Solid state devices

2

Condensed matter: Optical properties and spectroscopy

Infrared, submillimeter wave, microwave and radiowave instruments,

3

equipment and techniques

4

Sensors (chemical, optical, electrical, movement, gas, etc)

5

Physico-chemistry of organic polymers

6

Optical elements, devices and systems

Material sciences: Methods of deposition of films and coatings; film growth and

7

epitaxy

8 Optical

materials

9 Lasers

10

Nanoscale materials and structures: Fabrication and characterization

11

Electric, optical and optoelectronic circuits

Condensed matter: Electronic structure and electrical properties of surfaces,

12

interfaces and thin films

13

Optical sources and standards

14

Structure and nonelectronic properties of surfaces, interfaces and thin films

15

Optical instruments, equipments and techniques

16

Structure of solids and liquids; crystallography

17

Polymer industry: Technology of polymers

18 Natural

energy

19 Materials

science

20

Electronics: Materials

Table 3. The most important fields in the second period (2005-2010) expressed by means of

the PASCAL classification scheme headings

First period

Second period

Rank Country

%

of Rank Country

%

of

affiliations

affiliations

1 USA

28

1 USA

29

2 Japan

13

2 China

18

3 UK

10

3 Japan

10

4 Germany

10

4 Taïwan

9

5

South Korea

10

5

South Korea

8

6 China

9

6 Germany

7

7 France

7

7 UK

6

8 Italy

6

8 France

6

9 Taïwan

6

9 Canada

4

10 Canada

3

10 Italy

3

… 69

… 81

Table 4. The top 10 countries in terms of affiliation rates in the first and second periods

Identification of Emergent Research Issues:the Case of Optoelectronic Devices

131

This literature is of English expression in more than 99 % of documents and was published

in 14 and 11 countries, respectively, in the first and second period. In table 5, we give the top

5 publishing countries for both periods. The USA strengthens its first place, the Netherlands

rate grows up and the rates of Switzerland, United Kingdom and Germany go down.

First period

Second period

Rank Country

%

of Rank

Country %

of

publications

publications

1 USA

41

1 USA

58

2 Switzerland

16

2 Netherlands

15

3 UK

14

3 UK

12

4 Germany

12

4 Switzerland

9

5 Netherlands

11

5 Germany

4

… 14

… 11

Table 5. The top 5 countries in terms of publishing rates in the first and second periods

3. Methodology

3.1 Diffusion model

New scientific and technological developments are presented and documented in scientific

publications. These new ideas are described using specific words and expressions and they

sometimes lead to the creation by scientists of new terminological representations. In a

bibliographic record, the quintessence of a publication is represented by means of

keywords, the invest