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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Accelerated formation of iodine vacancies in CH3NH3PbI3 perovskites: The impact of oxygen and charges
Li, Q., Gaastra-Nedea, S., Smeulders, D. & Tao, S., 28 Dec 2022, (E-pub ahead of print) In: EcoMat. XX, X, e12320.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Development of a scattering model for diatomic gas-solid surface interactions by an unsupervised machine learning approach
Mohammad Nejad, S., Gaastra-Nedea, S. V., Frijns, A. J. H. & Smeulders, D. M. J., 17 Nov 2022, In: Physics of Fluids. 34, 11, 28 p., 117122.Research output: Contribution to journal › Article › Academic › peer-review
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In silico and in vitro assays reveal potential inhibitors against 3CLpro main protease of SARS-CoV-2
Iype, E., Pillai U, J., Kumar, I., Gaastra-Nedea, S. V., Subramanian, R., Saha, R. N. & Dutta, M., 2022, In: Journal of Biomolecular Structure and Dynamics. 40, 23, p. 12800-12811 12 p.Research output: Contribution to journal › Article › Academic › peer-review
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Performance evaluation of CLL-kernel using accommodation coefficients obtained by the classical and the correlation method
Mohammad Nejad, S., Nedea, S. V. & Frijns, A. J. H., 4 Jul 2022, (Accepted/In press) 32nd International Symposium on Rarefied Gas Dynamics. Myong, R. S., Xu, K. & Wu, J-S. (eds.). p. 225Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A Gas-Surface Interaction Model for Diatomic Rarefied Gas Flows Based on an Unsupervised Machine Learning Technique
Mohammad Nejad, S., Iype, E., Peters, F. A., Vollebregt, A. L. B., Gaastra-Nedea, S. V. & Frijns, A. J. H., 7 Jul 2021, Pre-RGD32 Online Workshop on Recent Hot Topics in Rarefied Gas Dynamics. Myong, R. S., Bruno, D., Xu, K. & Wu, J-S. (eds.). p. 92Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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In silico and in vitro assays reveal potential inhibitors against 3CLpro main protease of SARS-CoV-2
Subramanian, R. (Creator), Kumar, I. (Creator), Pillai U, J. (Contributor), Gaastra-Nedea, S. V. (Creator), Saha, R. N. (Creator), Iype, E. (Creator) & Dutta, M. (Creator), Taylor and Francis Ltd., 21 Sep 2021
DOI: 10.6084/m9.figshare.16663357
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New Machine Learning Findings from Eindhoven University of Technology Outlined (Development of a Scattering Model for Diatomic Gas-solid Surface Interactions By an Unsupervised Machine Learning Approach)
Arjan J.H. Frijns, David M.J. Smeulders & Silvia V. Gaastra-Nedea
28/12/22
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Press/Media: Expert Comment