المؤلفون: Snapp, Kelsey L., Verdier, Benjamin, Gongora, Aldair, Silverman, Samuel, Adesiji, Adedire D., Morgan, Elise F., Lawton, Timothy J., Whiting, Emily, Brown, Keith A.

مصطلحات موضوعية: Physics - Applied Physics, Condensed Matter - Materials Science

URL الوصول: http://arxiv.org/abs/2308.02315

المؤلفون: Snapp, Kelsey L., Verdier, Benjamin, Gongora, Aldair E., Silverman, Samuel, Adesiji, Adedire D., Morgan, Elise F., Lawton, Timothy J., Whiting, Emily, Brown, Keith A.

المساهمون: Honeywell Federal Manufacturing and Technologies

المصدر: Nature Communications ; volume 15, issue 1 ; ISSN 2041-1723

الاتاحة: http://dx.doi.org/10.1038/s41467-024-48534-4
https://www.nature.com/articles/s41467-024-48534-4.pdf
https://www.nature.com/articles/s41467-024-48534-4

المؤلفون: Ajao, Kajogbola R., Ibitoye, Segun E., Adesiji, Adedire D., Akinlabi, Esther

مصطلحات موضوعية: H300 Mechanical Engineering, H700 Production and Manufacturing Engineering

وصف الملف: text

Relation: https://nrl.northumbria.ac.uk/id/eprint/50333/1/jcs-06-00265-v2.pdf; Ajao, Kajogbola R., Ibitoye, Segun E., Adesiji, Adedire D. and Akinlabi, Esther (2022) Design and Construction of a Low-Cost-High-Accessibility 3D Printing Machine for Producing Plastic Components. Journal of Composites Science, 6 (9). p. 265. ISSN 2504-477X

الاتاحة: https://nrl.northumbria.ac.uk/id/eprint/50333/
https://doi.org/10.3390/jcs6090265
https://nrl.northumbria.ac.uk/id/eprint/50333/1/jcs-06-00265-v2.pdf

المؤلفون: Adesiji, Adedire D., Brown, Keith A.

المساهمون: Toyota Research Institute

المصدر: AIP Advances ; volume 14, issue 4 ; ISSN 2158-3226

الاتاحة: http://dx.doi.org/10.1063/5.0192455
https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0192455/19868603/045306_1_5.0192455.pdf

المؤلفون: Snapp, Kelsey L., Verdier, Benjamin, Gongora, Aldair, Silverman, Samuel, Adesiji, Adedire D., Morgan, Elise F., Lawton, Timothy J., Whiting, Emily, Brown, Keith A.

مصطلحات موضوعية: Mechanics, Self-driving lab, Autonomous experimentation, Energy absorbing efficiency, Generalized cylindrical shells, Machine learning, Bayesian optimization, Gaussian process regression

Relation: https://hdl.handle.net/2144/46687

الاتاحة: https://hdl.handle.net/2144/46687