Imperial College London
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Professor Camille Petit

Faculty of Engineering, Department of Chemical Engineering

Professor of Materials Engineering
 
 
 
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Contact

 

camille.petit Website

 
 
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Location

 

506ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shankar:2021:10.33774/chemrxiv-2021-zbgbj,
author = {Shankar, R and Mistry, E and Lubert-Perquel, D and Nevjestic, I and Heutz, S and Petit, C},
doi = {10.33774/chemrxiv-2021-zbgbj},
title = {A response surface model to predict and experimentally tune the chemical, magnetic and optoelectronic properties of oxygen-doped boron nitride},
url = {http://dx.doi.org/10.33774/chemrxiv-2021-zbgbj},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:p>A new material platform for boron nitride (BN) as a heterogeneous photocatalyst for solar fuels synthesis has recently emerged. One of the bottlenecks of this material is the lack of photoactivity under visible light, which hinders its rate performance. Theoretical studies have predicted that tuning the oxygen content in oxygen-doped BN (BNO) might be used to lower and vary the band gap. However, this is yet to be verified experimentally. We present herein a systematic experimental route facilitating simultaneous tuning of the chemical, magnetic and optoelectronic properties of BNO using a multivariate synthesis parameter space. Deep visible range band gaps (1.50 – 2.90 eV) were experimentally achieved and tuned over an oxygen composition of 2 – 14 at. %, and specific paramagnetic OB3 content of 7 – 294 a.u. g-1, thus supporting theoretical predictions. Through designing a response surface via a design of experiments (DOE) process, the key synthesis parameters influencing the chemical, magnetic and optoelectronic properties of BNO were identified. In addition, model prediction equations relating the aforementioned properties to the synthesis parameter space are presented. Accurate model predictions for the oxygen content and band gap were conducted and validated experimentally. Such a methodology is valuable for further advances in tailoring and optimising BN materials for heterogeneous photocatalytic reactions.</jats:p>
AU  - Shankar,R
AU  - Mistry,E
AU  - Lubert-Perquel,D
AU  - Nevjestic,I
AU  - Heutz,S
AU  - Petit,C
DO  - 10.33774/chemrxiv-2021-zbgbj
PY  - 2021///
TI  - A response surface model to predict and experimentally tune the chemical, magnetic and optoelectronic properties of oxygen-doped boron nitride
UR  - http://dx.doi.org/10.33774/chemrxiv-2021-zbgbj
ER  -
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