Journal article
Digital Chemical Engineering, vol. 3, Elsevier, 2022, p. 100018
APA
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Hatamleh, M., Chong, J. W., Tan, R. R., Aviso, K. B., Janairo, J. I. B., & Chemmangattuvalappil, N. G. (2022). Design of mosquito repellent molecules via the integration of hyperbox machine learning and computer aided molecular design. Digital Chemical Engineering, 3, 100018.
Chicago/Turabian
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Hatamleh, Mohamad, Jia Wen Chong, Raymond R Tan, Kathleen B Aviso, Jose Isagani B Janairo, and Nishanth G Chemmangattuvalappil. “Design of Mosquito Repellent Molecules via the Integration of Hyperbox Machine Learning and Computer Aided Molecular Design.” Digital Chemical Engineering 3 (2022): 100018.
MLA
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Hatamleh, Mohamad, et al. “Design of Mosquito Repellent Molecules via the Integration of Hyperbox Machine Learning and Computer Aided Molecular Design.” Digital Chemical Engineering, vol. 3, Elsevier, 2022, p. 100018.
BibTeX Click to copy
@article{hatamleh2022a,
title = {Design of mosquito repellent molecules via the integration of hyperbox machine learning and computer aided molecular design},
year = {2022},
journal = {Digital Chemical Engineering},
pages = {100018},
publisher = {Elsevier},
volume = {3},
author = {Hatamleh, Mohamad and Chong, Jia Wen and Tan, Raymond R and Aviso, Kathleen B and Janairo, Jose Isagani B and Chemmangattuvalappil, Nishanth G}
}