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Ibarra-Pérez D, Faba S, Hernández-Muñoz V, Smith C, Galotto MJ, Garmulewicz A. Predicting the Composition and Mechanical Properties of Seaweed Bioplastics from the Scientific Literature: A Machine Learning Approach for Modeling Sparse Data. Applied Sciences. 2023; 13(21):11841. https://doi.org/10.3390/app132111841

Ibarra-Pérez, Davor, Simón Faba, Valentina Hernández-Muñoz, Charlene Smith, María José Galotto, and Alysia Garmulewicz. 2023. "Predicting the Composition and Mechanical Properties of Seaweed Bioplastics from the Scientific Literature: A Machine Learning Approach for Modeling Sparse Data" Applied Sciences 13, no. 21: 11841. https://doi.org/10.3390/app132111841

Ibarra-Pérez, D., Faba, S., Hernández-Muñoz, V., Smith, C., Galotto, M. J., & Garmulewicz, A. (2023). Predicting the Composition and Mechanical Properties of Seaweed Bioplastics from the Scientific Literature: A Machine Learning Approach for Modeling Sparse Data. Applied Sciences, 13(21), 11841. https://doi.org/10.3390/app132111841