PREDICTION OF QUANTUM DESCRIPTOR VALUES IN BORON NITRIDE NANOCAGE-BASED MATERIALS USING ANN, CNN, AND RNN ALGORITHMS

This research aims to develop a method for predicting quantum descriptor values, specifically the HOMO-LUMO gap, in larger boron nitride nanocage materials using a machine learning approach. The dataset was obtained through DFT calculations on B12N12, B24N24, and B36N36 nanocages to determine the...

Full description

Saved in:
Bibliographic Details
Main Author: Pradila, Rike
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/86934
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Be the first to leave a comment!
You must be logged in first