March 09, 2023 dissertation Membrane Separation Processes Using Machine Learning Based Mathematical Programming Models DOI: 10.70675/37b5e277z691fz4d37zb5a4zcfd4ceeaa517 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning in Chemical Engineering: A Perspective 2021 Chemie Ingenieur Technik article Materials Science Machine Learning in Materials Science Open access 290 citations Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning 2020 Journal of Membrane Science article Environmental Science Membrane Separation Technologies Open access 73 citations Simultaneous rational design of ion separation membranes and processes 2020 Journal of Membrane Science article Environmental Science Membrane Separation Technologies Open access 45 citations 3 results