Novel Machine Learning-Based Method for Estimation of the Surface Area of Porous Silica Particles
Author:
Affiliation:
1. Multiphase Reactors and Process Intensification Group, Bernal Institute, University of Limerick, Limerick V94T9PX, Ireland
Funder
Engineering and Physical Sciences Research Council
Science Foundation Ireland
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c02785
Reference35 articles.
1. Critical review on porous material manufacturing techniques, properties & their applications
2. Synthesis and Application of Mesoporous Materials: Process Status, Technical Problems, and Development Prospects: A Mini-Review
3. Potentials of porous materials for energy management in heat exchangers – A comprehensive review
4. Recent Advances in Enabling Green Manufacture of Functional Nanomaterials: A Case Study of Bioinspired Silica
5. Effect of Zeta Potential on the Properties of Nano-Drug Delivery Systems - A Review (Part 1)
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