A5047602739- Innovative Microfluidic and Catalytic Techniques Innovation
- Model Reduction and Neural Networks
- Gold and Silver Nanoparticles Synthesis and Applications
- Data Stream Mining Techniques
- Electrohydrodynamics and Fluid Dynamics
- Nanomaterials for catalytic reactions
- Statistical and Computational Modeling
- Lattice Boltzmann Simulation Studies
- Electrowetting and Microfluidic Technologies
- Computational Physics and Python Applications
- Advanced Data Processing Techniques
- Reservoir Engineering and Simulation Methods
- Nuclear Engineering Thermal-Hydraulics
- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
University of Birmingham
2022-2025
Cyprus University of Technology
2025
The properties of silver nanoparticles (AgNPs) are affected by various parameters, making optimisation their synthesis a laborious task. This is facilitated in this work concurrent use T-junction microfluidic system and machine learning approach. AgNPs synthesized reducing nitrate with tannic acid the presence trisodium citrate, which has dual role reaction as stabilizing agent. study uses decision tree-guided design experiment method for size AgNPs. developed approach kinetic nucleation...
This study evaluates the performance of continuous flow and drop-based microfluidic devices for synthesis silver nanoparticles (AgNPs) under identical hydrodynamic chemical conditions. Flows at low values Dean number (De < 1) were investigated, where contribution vortices forming inside drop to additional mixing reactor should be most noticeable. In device, discrete aqueous drops serving as reactors generated by focusing using silicone oil phase. Aqueous solutions reagents supplied...
We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive Modelling with QuantIfication UncERtainty for MultiphasE Systems), which is at intersection multi-physics and machine learning, aiming to enhance predictive capabilities in complex multiphase flow systems across diverse length time scales. Our contributions encompass variety approaches, including Design Experiments nanoparticle synthesis optimisation, Generalised Latent Assimilation models drop...
We investigate the production of silver nanoparticles (AgNPs) under different operating conditions pH, inlet flow rates, and reactants concentration via a combination population balance modelling computational fluid dynamics (PBM-CFD) to elucidate our experimental observations in well-mixed batch reactor T-junction microfluidic device. The synthesis process considered herein is based on reduction protocol involving nitrate as precursor mixture tannic acid/trisodium citrate...
Optimisation of the parameters governing synthesis silver nanoparticles (AgNPs) is a critical step in controlling particle size, which facilitates their application diverse range industrial and consumer related products. A T-junction microfluidic system was used together with design experiments, regression-analysis response surface methodology to build predictive numerical model for size (AgNPs). Aqueous solutions silver-precursor reducing/stabilizing agent were supplied by two separate...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
The properties of silver nanoparticles (AgNPs) are affected by various parameters, making optimisation their synthesis a laborious task. This is facilitated in this work concurrent use T-junction microfluidic system and machine learning approach. AgNPs synthesized reducing nitrate with tannic acid the presence trisodium citrate, which has dual role reaction as stabilizing agent. study uses decision tree-guided design experiment method for size AgNPs. developed approach kinetic nucleation...
We investigate the production of silver nanoparticles (AgNPs) under different operating conditions pH, inlet flow rates, and reactants concentration via a combination population balance modelling computational fluid dynamics (PBM-CFD) to elucidate our experimental observations in well-mixed batch reactor T-junction microfluidic device. The synthesis process considered herein is based on reduction protocol involving nitrate as precursor mixture tannic acid/trisodium citrate...