- Can 3D printing bring droplet microfluidics to every lab? - A systematic reviewGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasMicromachines2021 / art. 339 https://doi.org/10.3390/mi12030339 https://www.scopus.com/sourceid/21100229176 https://www.scopus.com/record/display.uri?eid=2-s2.0-85103520813&origin=inward&txGid=da5b1d01d12e44859015a09b317ff4a3 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=MICROMACHINES-BASEL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000633887600001
- Closed-loop droplet size control in microfluidics = Suletud ahelaga tilkade suuruse juhtimine mikrofluidikasGyimah, Nafisat2024 https://digikogu.taltech.ee/et/Item/c4a0c9de-83e5-41ff-bdcf-24ba61182d1f https://www.ester.ee/record=b5698980*est https://doi.org/10.23658/taltech.47/2024
- CogniFlow: integrated modular system for automated droplet microfluidic bioanalysisJõemaa, Rauno; Afrin, Fariha; Gyimah, Nafisat; Ashraf, Kanwal; Pärnamets, Kaiser; Giese, Lucas; Rocancourt, Mathieu; Pardy, TamasEUROSENSORS XXXVI : Abstract book2024 / PT6.188, p. 453-454 https://doi.org/10.5162/EUROSENSORSXXXVI/PT6.188
- Cogniflow-drop : integrated modular system for automated generation of droplets in microfluidic applicationsJõemaa, Rauno; Gyimah, Nafisat; Ashraf, Kanwal; Pärnamets, Kaiser; Zaft, Alexander; Scheler, Ott; Rang, Toomas; Pardy, TamasIEEE Access2023 / p. 104905-104929 https://doi.org/10.1109/ACCESS.2023.3316726 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85172992660&origin=inward&txGid=5462987a2fdd2c1eff2d1050f3b57946 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001081580400001
- Compact empirical model for droplet generation in a Lab-on-Chip cytometry systemPärnamets, Kaiser; Udal, Andres; Koel, Ants; Pardy, Tamas; Gyimah, Nafisat; Rang, ToomasIEEE Access2022 / p. 127708-127717 https://doi.org/10.1109/ACCESS.2022.3226623 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144080334&origin=inward&txGid=a3d93af970c326751a52a46a65fd921f https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000899157300001
- Deep reinforcement learning-based digital twin for droplet microfluidics controlGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasPhysics of Fluids2023 / art. 082020 https://doi.org/10.1063/5.0159981 https://www.scopus.com/sourceid/29210 https://www.scopus.com/record/display.uri?eid=2-s2.0-85169800005&origin=resultslist&sort=plf-f&src=s&sid=443787aa9b1ca10ee6304e8733795725&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Deep+reinforcement+learning-based+digital+twin+for+droplet+microfluidics+control%22%29&sl=266&sessionSearchId=443787aa9b1ca10ee6304e8733795725&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=PHYS%20FLUIDS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001053895200005
- Digital twin for controlled generation of water-in-oil microdroplets with required sizeGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, Tamas2022 23rd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 25-27 April 2022, St Julian, Malta : proceedings2022 / p. 85-91 https://doi.org/10.1109/EuroSimE54907.2022.9758876
- PID controller tuning optimization using genetic algorithm for droplet size control in microfluidicsGyimah, Nafisat; Jõemaa, Rauno; Pärnamets, Kaiser; Scheler, Ott; Rang, Toomas; Pardy, Tamas2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p https://doi.org/10.1109/BEC56180.2022.9935596
- 3D finite element modelling of mixing phenomena in droplet-based microfluidic systems
Szomor, Zsombo; Gyimah, Nafisat; Fürjes, Peter; Pardy, Tamas2024 19th Biennial Baltic Electronics Conference (BEC)2024 / 4 p https://doi.org/10.1109/BEC61458.2024.10737975