Mohammad, S.; Akand, R.; Cook, K.M.; Nilufar, S.; Chowdhury, F.
Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels. Gels 2024, 10, 660.
https://doi.org/10.3390/gels10100660
AMA Style
Mohammad S, Akand R, Cook KM, Nilufar S, Chowdhury F.
Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels. Gels. 2024; 10(10):660.
https://doi.org/10.3390/gels10100660
Chicago/Turabian Style
Mohammad, Sakib, Rafee Akand, Kaden M. Cook, Sabrina Nilufar, and Farhan Chowdhury.
2024. "Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels" Gels 10, no. 10: 660.
https://doi.org/10.3390/gels10100660
APA Style
Mohammad, S., Akand, R., Cook, K. M., Nilufar, S., & Chowdhury, F.
(2024). Leveraging Deep Learning and Generative AI for Predicting Rheological Properties and Material Compositions of 3D Printed Polyacrylamide Hydrogels. Gels, 10(10), 660.
https://doi.org/10.3390/gels10100660