EMPLOYING MACHINE LEARNING POTENTIAL TO ELUCIDATE NON-STOICHIOMETRIC FES STRUCTURE
Iron (II) sulfide (FeS) is of interest due to their potential usage in a variety of industries, including energy storage, catalysis, and environmental remediation. FeS is a Metal-Insulator Transition (MIT) material in which its electronic properties can be modified as initial temperature treatmen...
Saved in:
Main Author: | Rizky Rahman, Muhammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/71731 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Elucidation of stoichiometric efficiency, radical generation and transformation pathway during catalytic oxidation of sulfamethoxazole via peroxymonosulfate activation
by: Bao, Yueping, et al.
Published: (2020) -
Nanohybrids of non-stoichiometric zinc ferrite in amorphous silica
by: Zhou, Z.H., et al.
Published: (2014) -
Synthesis of FeS2 and FeS nanoparticles by high-energy mechanical milling and mechanochemical processing
by: Chin, P.P., et al.
Published: (2014) -
Non-stoichiometric fibrous apatite for heavy metal ion capture
by: Tan, Amos Zhong Min.
Published: (2009) -
CRYSTALLINE STRUCTURE, MAGNETIC PROPERTIES, AND DEMAGNETIZATION FIELD ON NON-STOICHIOMETRIC Co2MnGa HEUSLER ALLOYS
by: Yan Pandu Akbar (NIM: 10213027), Mochammad