I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
3D NAND vertical channel defect inspection and classificati..:
, In:
2022 33rd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
,
Wu, Cheng Hung
;
Sun, Yen Chun Chuan
;
Kushwaha, Rishabh
.. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/ASMC54647.2022.9792511
RT T1
2022 33rd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)
: T1
3D NAND vertical channel defect inspection and classification solution on a DL-based e-beam system : DI : Defect Inspection and Reduction
UL https://suche.suub.uni-bremen.de/peid=ieee-9792511&Exemplar=1&LAN=DE A1 Wu, Cheng Hung A1 Sun, Yen Chun Chuan A1 Kushwaha, Rishabh A1 Bajpai, Piyush A1 Cheng, Shao Chang YR 2022 SN 2376-6697 K1 Deep learning K1 Scanning electron microscopy K1 Three-dimensional displays K1 Stacking K1 Process control K1 Memory K1 Inspection K1 3D NAND K1 high aspect ratio (HAR) K1 high landing energy (HiLE) K1 defect inspection K1 deep learning (DL) SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ASMC54647.2022.9792511 DO https://doi.org/10.1109/ASMC54647.2022.9792511 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)