Results
eNauka >
Results >
Advancing microfluidic design with machine learning: a Bayesian optimization approach
| Title: | Advancing microfluidic design with machine learning: a Bayesian optimization approach | Authors: | Kundačina, Ivana |
Issue Date: | 2025 | Publication: | Lab on a Chip | ISSN: | 1473-0197 Lab on A Chip Search Idenfier |
Publisher: | Royal Society of Chemistry | Type: | Article | Collation: | vol. 25 br. 4 str. 657-672 | DOI: | 10.1039/d4lc00872c | WoS-ID: | 001409970200001 | Scopus-ID: | 2-s2.0-85216657032 | URI: | https://enauka.gov.rs/handle/123456789/966953 | URL: | https://pubs.rsc.org/en/content/articlepdf/2025/lc/d4lc00872c | Project: | Science Fund of the Republic of Serbia [7750276] Science Fund of the Republic of Serbia VR [451-03-66/2024-03/ 200358, 451-03-66/2024-03/ 200025] Ministry of Science, Technological Development, and Innovations of the Republic of Serbia GA |
Metadata source: | (Preuzeto iz CrossRef-a) Mišković, Dragiša | M-category: | 21aM21a |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.