A search for new red and green phosphors using a computational evolutionary optimization process

Jae Moon Lee; Jeong Gon Yoo; Ji Sik Kim; Kee Sun Sohn

doi:10.4028/0-87849-960-1.1117

A search for new red and green phosphors using a computational evolutionary optimization process

Jae Moon Lee, Jeong Gon Yoo, Ji Sik Kim, Kee Sun Sohn

Department of Nano & Advanced Materials Science and Engineering

Sunchon National University

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu _0.14Mg_0.18Ca_0.07Ba_0.12B _0.17Si_0.32O_δ and Tb_0.01Gd _0.02Ce_0.04B_0.1Si_0.83O _δ, were obtained.

Original language	English
Pages (from-to)	1117-1120
Number of pages	4
Journal	Materials Science Forum
Volume	475-479
Issue number	II
DOIs	https://doi.org/10.4028/0-87849-960-1.1117
State	Published - 2005
Event	PRICM 5: The Fifth Pacific Rim International Conference on Advanced Materials and Processing - Beijing, China Duration: 2 Nov 2004 → 5 Nov 2004

Keywords

Combinatorial chemistry
Genetic algorithm
Phosphor

Access to Document

10.4028/0-87849-960-1.1117

Cite this

@article{99dbbec387894277a4c8a60c63b233a6,

title = "A search for new red and green phosphors using a computational evolutionary optimization process",

abstract = "An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu 0.14Mg0.18Ca0.07Ba0.12B 0.17Si0.32Oδ and Tb0.01Gd 0.02Ce0.04B0.1Si0.83O δ, were obtained.",

keywords = "Combinatorial chemistry, Genetic algorithm, Phosphor",

author = "Lee, {Jae Moon} and Yoo, {Jeong Gon} and Kim, {Ji Sik} and Sohn, {Kee Sun}",

year = "2005",

doi = "10.4028/0-87849-960-1.1117",

language = "English",

volume = "475-479",

pages = "1117--1120",

journal = "Materials Science Forum",

issn = "0255-5476",

publisher = "Trans Tech Publications Ltd.",

number = "II",

note = "PRICM 5: The Fifth Pacific Rim International Conference on Advanced Materials and Processing ; Conference date: 02-11-2004 Through 05-11-2004",

}

TY - JOUR

T1 - A search for new red and green phosphors using a computational evolutionary optimization process

AU - Lee, Jae Moon

AU - Yoo, Jeong Gon

AU - Kim, Ji Sik

AU - Sohn, Kee Sun

PY - 2005

Y1 - 2005

N2 - An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu 0.14Mg0.18Ca0.07Ba0.12B 0.17Si0.32Oδ and Tb0.01Gd 0.02Ce0.04B0.1Si0.83O δ, were obtained.

AB - An evolutionary optimization process involving a genetic algorithm and combinatorial chemistry (combi-chem) was tailored exclusively for the development of LED phosphors. The genetic algorithm assisted combi-chem (GACC) is a well-known, very efficient heuristic optimization method. Therefore the combination of a genetic algorithm and combi-chem would enhance the searching efficiency when applied to phosphor screening. The ultimate goal of our study was to develop oxide red and green phosphors, which are suitable for three-band white light emitting diodes (LED). In this regard, promising red and green phosphors for three-band white LED applications, such as Eu 0.14Mg0.18Ca0.07Ba0.12B 0.17Si0.32Oδ and Tb0.01Gd 0.02Ce0.04B0.1Si0.83O δ, were obtained.

KW - Combinatorial chemistry

KW - Genetic algorithm

KW - Phosphor

UR - http://www.scopus.com/inward/record.url?scp=17044401332&partnerID=8YFLogxK

U2 - 10.4028/0-87849-960-1.1117

DO - 10.4028/0-87849-960-1.1117

M3 - Conference article

AN - SCOPUS:17044401332

SN - 0255-5476

VL - 475-479

SP - 1117

EP - 1120

JO - Materials Science Forum

JF - Materials Science Forum

IS - II

T2 - PRICM 5: The Fifth Pacific Rim International Conference on Advanced Materials and Processing

Y2 - 2 November 2004 through 5 November 2004

ER -

A search for new red and green phosphors using a computational evolutionary optimization process

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this