Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation
A systematic and comprehensive approach for efficiently exfoliating bulk hBN into hexagonal boron nitride nanosheets (hBNNs) via ultrasonication-assisted liquid-phase exfoliation (UALPE) is presented in this investigation. The optimal condition for UALPE was identified as 330 W ultrasonication power...
Saved in:
Main Authors: | Jerrin Joy Varughese, Sreekanth M․S․ |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025002154 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Binder-Free Hexagonal Boron Nitride Nanosheets (BNNSs) as Protective Coatings for Copper, Steel, and Wood: A Review
by: Muhammad Faheem Maqsood, et al.
Published: (2025-01-01) -
Different behavior of Nano sheet and Bulk of the hexagonal boron nitride with first principal calculation approach
by: Abbas FarhadiKoutenaei, et al.
Published: (2024-02-01) -
Highly Tunable Moiré Superlattice Potentials in Twisted Hexagonal Boron Nitrides
by: Kwanghee Han, et al.
Published: (2025-01-01) -
Progress in Boron Nitride-Based Materials as Catalysts for Energy Storage and Electrochemical Application
by: Khursheed Ahmad, et al.
Published: (2024-12-01) -
Investigating Impacts of Local Pressure and Temperature on CVD Growth of Hexagonal Boron Nitride on Ge(001)/Si
by: Max Franck, et al.
Published: (2025-01-01)