Simulation and prediction of the attenuation behaviour of the KNN-LMN-based lead-free ceramics by FLUKA code and artificial neural network (ANN)-based algorithm
ENVIRONMENTAL TECHNOLOGY, cilt.44, sa.11, ss.1592-1599, 2023 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 44 Sayı: 11
- Basım Tarihi: 2023
- Doi Numarası: 10.1080/09593330.2021.2008017
- Dergi Adı: ENVIRONMENTAL TECHNOLOGY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Compendex, EMBASE, Environment Index, Geobase, Greenfile, INSPEC, MEDLINE, Metadex, Pollution Abstracts, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
- Sayfa Sayıları: ss.1592-1599
- Anahtar Kelimeler: FLUKA simulation, radioisotope source, ANN algorithm, HI-PROBE card
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
The significance and novelty of the present work are the preparation of the non-lead ceramic by the general formula of (1-x) K0.5Na0.5NbO3-xLa Mn0.5Ni0.5O3 (KNN-LMN) with different x (0