Overview

Dataset statistics

Number of variables6
Number of observations197
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description한국세라믹기술원이 연구개발을 통해 확보한 논문(소속, 원내저자, 논문구분, 학술지명, 논문제목 등)자료 입니다.
Author한국세라믹기술원
URLhttps://www.data.go.kr/data/15054623/fileData.do

Alerts

번호 has unique valuesUnique
논문제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:12:26.459435
Analysis finished2023-12-12 06:12:27.500737
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99
Minimum1
Maximum197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-12T15:12:27.614427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.8
Q150
median99
Q3148
95-th percentile187.2
Maximum197
Range196
Interquartile range (IQR)98

Descriptive statistics

Standard deviation57.013156
Coefficient of variation (CV)0.57589047
Kurtosis-1.2
Mean99
Median Absolute Deviation (MAD)49
Skewness0
Sum19503
Variance3250.5
MonotonicityStrictly increasing
2023-12-12T15:12:27.777734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (187) 187
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%

소속
Categorical

Distinct14
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
에너지효율소재팀
32 
엔지니어링세라믹팀
31 
도자세라믹팀
27 
에너지변환소재팀
24 
에코복합소재팀
22 
Other values (9)
61 

Length

Max length11
Median length10
Mean length7.9086294
Min length6

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row나노융합소재센터
2nd row에너지효율소재팀
3rd row에너지효율소재팀
4th row에너지효율소재팀
5th row에코복합소재팀

Common Values

ValueCountFrequency (%)
에너지효율소재팀 32
16.2%
엔지니어링세라믹팀 31
15.7%
도자세라믹팀 27
13.7%
에너지변환소재팀 24
12.2%
에코복합소재팀 22
11.2%
지능형전자부품팀 14
7.1%
나노융합지능소재팀 10
 
5.1%
전자소재·모듈팀 9
 
4.6%
나노IT소재팀 9
 
4.6%
광·디스플레이소재팀 9
 
4.6%
Other values (4) 10
 
5.1%

Length

2023-12-12T15:12:27.928961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
에너지효율소재팀 32
16.2%
엔지니어링세라믹팀 31
15.7%
도자세라믹팀 27
13.7%
에너지변환소재팀 24
12.2%
에코복합소재팀 22
11.2%
지능형전자부품팀 14
7.1%
나노융합지능소재팀 10
 
5.1%
전자소재·모듈팀 9
 
4.6%
나노it소재팀 9
 
4.6%
광·디스플레이소재팀 9
 
4.6%
Other values (4) 10
 
5.1%

원내저자
Text

Distinct56
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:12:28.171785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9695431
Min length2

Characters and Unicode

Total characters585
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)4.6%

Sample

1st row구은회
2nd row권우택
3rd row권우택
4th row권우택
5th row김대성
ValueCountFrequency (%)
노광철 15
 
7.6%
이순일 9
 
4.6%
정성민 9
 
4.6%
김성원 6
 
3.0%
김응수 6
 
3.0%
김종영 6
 
3.0%
김진호 6
 
3.0%
신동근 5
 
2.5%
임형미 5
 
2.5%
윤지선 5
 
2.5%
Other values (46) 125
63.5%
2023-12-12T15:12:28.623486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 43
 
7.4%
성 27
 
4.6%
정 26
 
4.4%
이 25
 
4.3%
광 20
 
3.4%
영 18
 
3.1%
호 17
 
2.9%
노 15
 
2.6%
철 15
 
2.6%
형 14
 
2.4%
Other values (61) 365
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 43
 
7.4%
성 27
 
4.6%
정 26
 
4.4%
이 25
 
4.3%
광 20
 
3.4%
영 18
 
3.1%
호 17
 
2.9%
노 15
 
2.6%
철 15
 
2.6%
형 14
 
2.4%
Other values (61) 365
62.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 43
 
7.4%
성 27
 
4.6%
정 26
 
4.4%
이 25
 
4.3%
광 20
 
3.4%
영 18
 
3.1%
호 17
 
2.9%
노 15
 
2.6%
철 15
 
2.6%
형 14
 
2.4%
Other values (61) 365
62.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 43
 
7.4%
성 27
 
4.6%
정 26
 
4.4%
이 25
 
4.3%
광 20
 
3.4%
영 18
 
3.1%
호 17
 
2.9%
노 15
 
2.6%
철 15
 
2.6%
형 14
 
2.4%
Other values (61) 365
62.4%

논문구분
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
SCI논문
109 
국내논문
80 
국외논문
 
8

Length

Max length5
Median length5
Mean length4.5532995
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSCI논문
2nd row국내논문
3rd row국외논문
4th row국내논문
5th row국외논문

Common Values

ValueCountFrequency (%)
SCI논문 109
55.3%
국내논문 80
40.6%
국외논문 8
 
4.1%

Length

2023-12-12T15:12:28.819840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:12:28.946141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sci논문 109
55.3%
국내논문 80
40.6%
국외논문 8
 
4.1%

학술지명
Text

Distinct87
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:12:29.182551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length22.314721
Min length4

Characters and Unicode

Total characters4396
Distinct characters115
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)27.4%

Sample

1st rowInternational Journal of Nanomedicine
2nd rowKorean Chemical Engineering Research
3rd rowDetect and Diffusion Forum
4th row자원리싸이클링
5th rowAdvanced Materials Research
ValueCountFrequency (%)
of 63
 
11.0%
journal 56
 
9.7%
materials 28
 
4.9%
and 28
 
4.9%
한국세라믹학회지 26
 
4.5%
the 18
 
3.1%
society 18
 
3.1%
korean 18
 
3.1%
international 14
 
2.4%
research 13
 
2.3%
Other values (115) 293
51.0%
2023-12-12T15:12:29.620199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
390
 
8.9%
e 329
 
7.5%
a 326
 
7.4%
o 269
 
6.1%
n 264
 
6.0%
r 257
 
5.8%
i 218
 
5.0%
l 197
 
4.5%
t 182
 
4.1%
c 180
 
4.1%
Other values (105) 1784
40.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2912
66.2%
Other Letter 628
 
14.3%
Uppercase Letter 450
 
10.2%
Space Separator 390
 
8.9%
Other Punctuation 6
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 68
 
10.8%
회 62
 
9.9%
지 61
 
9.7%
한 54
 
8.6%
국 53
 
8.4%
세 26
 
4.1%
믹 26
 
4.1%
라 26
 
4.1%
자 22
 
3.5%
전 22
 
3.5%
Other values (55) 208
33.1%
Uppercase Letter
ValueCountFrequency (%)
C 78
17.3%
J 58
12.9%
M 46
10.2%
S 45
10.0%
E 42
9.3%
A 40
8.9%
I 21
 
4.7%
P 19
 
4.2%
R 18
 
4.0%
K 18
 
4.0%
Other values (11) 65
14.4%
Lowercase Letter
ValueCountFrequency (%)
e 329
11.3%
a 326
11.2%
o 269
9.2%
n 264
9.1%
r 257
8.8%
i 218
7.5%
l 197
 
6.8%
t 182
 
6.2%
c 180
 
6.2%
s 158
 
5.4%
Other values (10) 532
18.3%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
: 1
 
16.7%
/ 1
 
16.7%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
390
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3362
76.5%
Hangul 624
 
14.2%
Common 406
 
9.2%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 68
 
10.9%
회 62
 
9.9%
지 61
 
9.8%
한 54
 
8.7%
국 53
 
8.5%
세 26
 
4.2%
믹 26
 
4.2%
라 26
 
4.2%
자 22
 
3.5%
전 22
 
3.5%
Other values (51) 204
32.7%
Latin
ValueCountFrequency (%)
e 329
 
9.8%
a 326
 
9.7%
o 269
 
8.0%
n 264
 
7.9%
r 257
 
7.6%
i 218
 
6.5%
l 197
 
5.9%
t 182
 
5.4%
c 180
 
5.4%
s 158
 
4.7%
Other values (31) 982
29.2%
Common
ValueCountFrequency (%)
390
96.1%
) 4
 
1.0%
( 4
 
1.0%
& 3
 
0.7%
= 1
 
0.2%
: 1
 
0.2%
/ 1
 
0.2%
. 1
 
0.2%
- 1
 
0.2%
Han
ValueCountFrequency (%)
催 1
25.0%
化 1
25.0%
學 1
25.0%
報 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3768
85.7%
Hangul 624
 
14.2%
CJK 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
390
 
10.4%
e 329
 
8.7%
a 326
 
8.7%
o 269
 
7.1%
n 264
 
7.0%
r 257
 
6.8%
i 218
 
5.8%
l 197
 
5.2%
t 182
 
4.8%
c 180
 
4.8%
Other values (40) 1156
30.7%
Hangul
ValueCountFrequency (%)
학 68
 
10.9%
회 62
 
9.9%
지 61
 
9.8%
한 54
 
8.7%
국 53
 
8.5%
세 26
 
4.2%
믹 26
 
4.2%
라 26
 
4.2%
자 22
 
3.5%
전 22
 
3.5%
Other values (51) 204
32.7%
CJK
ValueCountFrequency (%)
催 1
25.0%
化 1
25.0%
學 1
25.0%
報 1
25.0%

논문제목
Text

UNIQUE 

Distinct197
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-12T15:12:30.031696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length177
Median length118
Mean length83.370558
Min length15

Characters and Unicode

Total characters16424
Distinct characters339
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)100.0%

Sample

1st rowA “turn-on” fluorescent microbead sensor for detecting nitric oxide
2nd row폼 형태의 다공성 탄화규소 지지체 표면 위에 ZSM-5 합성
3rd rowSize Effect of CaCO3 Filler on the Mechanical Properties of SMC Composites
4th row동해-삼척지역 석회석의 물리화학적 특성이 탈황성능에 미치는 영향
5th rowSolar reflective pigment of TiO2 nanoparticle coated on mica and thermal property of its isolation-heat paint
ValueCountFrequency (%)
of 137
 
6.0%
and 63
 
2.8%
by 31
 
1.4%
the 30
 
1.3%
on 29
 
1.3%
with 28
 
1.2%
for 28
 
1.2%
a 25
 
1.1%
in 21
 
0.9%
properties 21
 
0.9%
Other values (1208) 1854
81.8%
2023-12-12T15:12:30.683473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2084
 
12.7%
e 1260
 
7.7%
i 1099
 
6.7%
o 951
 
5.8%
a 860
 
5.2%
t 843
 
5.1%
r 806
 
4.9%
n 781
 
4.8%
s 616
 
3.8%
c 555
 
3.4%
Other values (329) 6569
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11007
67.0%
Space Separator 2084
 
12.7%
Other Letter 1390
 
8.5%
Uppercase Letter 1365
 
8.3%
Decimal Number 260
 
1.6%
Dash Punctuation 163
 
1.0%
Other Punctuation 88
 
0.5%
Close Punctuation 29
 
0.2%
Open Punctuation 29
 
0.2%
Math Symbol 7
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 58
 
4.2%
성 48
 
3.5%
에 38
 
2.7%
한 34
 
2.4%
이 29
 
2.1%
특 26
 
1.9%
용 24
 
1.7%
구 21
 
1.5%
연 21
 
1.5%
리 21
 
1.5%
Other values (250) 1070
77.0%
Lowercase Letter
ValueCountFrequency (%)
e 1260
11.4%
i 1099
10.0%
o 951
 
8.6%
a 860
 
7.8%
t 843
 
7.7%
r 806
 
7.3%
n 781
 
7.1%
s 616
 
5.6%
c 555
 
5.0%
l 527
 
4.8%
Other values (18) 2709
24.6%
Uppercase Letter
ValueCountFrequency (%)
S 150
 
11.0%
C 132
 
9.7%
O 126
 
9.2%
T 104
 
7.6%
P 101
 
7.4%
M 85
 
6.2%
N 80
 
5.9%
A 80
 
5.9%
E 67
 
4.9%
F 60
 
4.4%
Other values (14) 380
27.8%
Decimal Number
ValueCountFrequency (%)
2 74
28.5%
3 55
21.2%
0 40
15.4%
5 25
 
9.6%
4 21
 
8.1%
1 20
 
7.7%
8 9
 
3.5%
7 8
 
3.1%
9 7
 
2.7%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 39
44.3%
/ 29
33.0%
: 8
 
9.1%
· 6
 
6.8%
@ 4
 
4.5%
' 1
 
1.1%
% 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 28
96.6%
] 1
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 28
96.6%
[ 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
= 2
 
28.6%
Space Separator
ValueCountFrequency (%)
2084
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12369
75.3%
Common 2662
 
16.2%
Hangul 1390
 
8.5%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 58
 
4.2%
성 48
 
3.5%
에 38
 
2.7%
한 34
 
2.4%
이 29
 
2.1%
특 26
 
1.9%
용 24
 
1.7%
구 21
 
1.5%
연 21
 
1.5%
리 21
 
1.5%
Other values (250) 1070
77.0%
Latin
ValueCountFrequency (%)
e 1260
 
10.2%
i 1099
 
8.9%
o 951
 
7.7%
a 860
 
7.0%
t 843
 
6.8%
r 806
 
6.5%
n 781
 
6.3%
s 616
 
5.0%
c 555
 
4.5%
l 527
 
4.3%
Other values (40) 4071
32.9%
Common
ValueCountFrequency (%)
2084
78.3%
- 163
 
6.1%
2 74
 
2.8%
3 55
 
2.1%
0 40
 
1.5%
. 39
 
1.5%
/ 29
 
1.1%
) 28
 
1.1%
( 28
 
1.1%
5 25
 
0.9%
Other values (17) 97
 
3.6%
Greek
ValueCountFrequency (%)
δ 2
66.7%
α 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15023
91.5%
Hangul 1390
 
8.5%
None 9
 
0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2084
13.9%
e 1260
 
8.4%
i 1099
 
7.3%
o 951
 
6.3%
a 860
 
5.7%
t 843
 
5.6%
r 806
 
5.4%
n 781
 
5.2%
s 616
 
4.1%
c 555
 
3.7%
Other values (64) 5168
34.4%
Hangul
ValueCountFrequency (%)
의 58
 
4.2%
성 48
 
3.5%
에 38
 
2.7%
한 34
 
2.4%
이 29
 
2.1%
특 26
 
1.9%
용 24
 
1.7%
구 21
 
1.5%
연 21
 
1.5%
리 21
 
1.5%
Other values (250) 1070
77.0%
None
ValueCountFrequency (%)
· 6
66.7%
δ 2
 
22.2%
α 1
 
11.1%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%

Interactions

2023-12-12T15:12:27.144852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:12:30.797531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소속원내저자논문구분학술지명
번호1.0000.8020.9960.3840.759
소속0.8021.0000.9990.5150.889
원내저자0.9960.9991.0000.7480.882
논문구분0.3840.5150.7481.0001.000
학술지명0.7590.8890.8821.0001.000
2023-12-12T15:12:30.910092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
논문구분소속
논문구분1.0000.325
소속0.3251.000
2023-12-12T15:12:31.011695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소속논문구분
번호1.0000.4760.250
소속0.4761.0000.325
논문구분0.2500.3251.000

Missing values

2023-12-12T15:12:27.320635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:12:27.443118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호소속원내저자논문구분학술지명논문제목
01나노융합소재센터구은회SCI논문International Journal of NanomedicineA “turn-on” fluorescent microbead sensor for detecting nitric oxide
12에너지효율소재팀권우택국내논문Korean Chemical Engineering Research폼 형태의 다공성 탄화규소 지지체 표면 위에 ZSM-5 합성
23에너지효율소재팀권우택국외논문Detect and Diffusion ForumSize Effect of CaCO3 Filler on the Mechanical Properties of SMC Composites
34에너지효율소재팀권우택국내논문자원리싸이클링동해-삼척지역 석회석의 물리화학적 특성이 탈황성능에 미치는 영향
45에코복합소재팀김대성국외논문Advanced Materials ResearchSolar reflective pigment of TiO2 nanoparticle coated on mica and thermal property of its isolation-heat paint
56에코복합소재팀김대성국외논문Advanced Materials ResearchEnhancement of surface properties on films of waterborne-polyurethane hybridized by highly disperesed and aluminate modified silica sol
67에코복합소재팀김대성국내논문한국재료학회지Fe2O3가 코팅된 판상 마이카의 적외선 반사용 적색안료 제조 및 차열도료의 열특성
78엔지니어링세라믹팀김성원SCI논문Journal of the Ceramic Society of JapanMicro porous SiO2·SiC ceramics from particle stabilized foams by direct foaming
89엔지니어링세라믹팀김성원SCI논문Journal of Ceramic Processing ResearchEffect of surfactant on adsorption free energy and Laplace pressure of wet foam stability to porous ceramics
910엔지니어링세라믹팀김성원국내논문한국세라믹학회지Transmission Electron Microscopy Investigation of Hot-pressed ZrB2-SiC with B4C Additive
번호소속원내저자논문구분학술지명논문제목
187188엔지니어링세라믹팀한윤수국내논문한국세라믹학회지Optimization of Binder Burnout for Reaction Bonded Si3N4 Substrate Fabrication by Tape Casting Method
188189엔지니어링세라믹팀한윤수국내논문한국분말야금학회지냉동 후막 성형에 의한 다공성 Al2O3 필름 제조
189190나노IT소재팀현상일SCI논문Current Applied PhysicsAdsorption properties of transition metal atoms on strongly correlated NiO(001) surfaces with surface oxygen vacancies
190191나노IT소재팀현상일SCI논문SymmetryCharacterizations of Network Structures Using Eigenmode Analysis
191192나노IT소재팀현상일SCI논문Journal of the Korean Physical SocietyComputational Characterizations on the Grain-size-dependent Properties of Polycrystalline Nanomaterials
192193나노IT소재팀현상일SCI논문Desalination and Water TreatmentNumerical simulations on shapes and materials and deterioration model of flexible sewer systems
193194전자소재·모듈팀홍연우SCI논문Korean Journal of Metals and MaterialsHP 및 SPS 법에 의한 ZnS의 소결과 소결체의 광학적 특성
194195광·디스플레이소재팀황종희SCI논문Journal of Non-Crystalline SolidsEffect of glass composition on the luminescence characteristics of color conversion glasses in BaO-ZnO-B2O3-SiO2 glasses
195196광·디스플레이소재팀황종희SCI논문Ceramics InternationalLCD waste glass as a substitute for feldspar in the porcelain sanitary ware production
196197광·디스플레이소재팀황종희국내논문한국세라믹학회지이온강화 소다라임 유리의 열처리에 따른 강화 풀림현상