A practical approach to solution-based synthesis methods and mechanisms from a chemical engineering perspective allows engineers at every level to gain insights ranging from fundamental biomedical applications of nanoparticles to application tailored nanomaterials.
A practical approach to solution-based synthesis methods and mechanisms from a chemical engineering perspective allows engineers at every level to gain insights ranging from fundamental biomedical applications of nanoparticles to application tailored nanomaterials.
Sulalit Bandyopadhyay is an Associate Professor in Particle Engineering and Hydrometallurgy in the Department of Chemical Engineering, NTNU. He is Centre Manager for the Particle Engineering Centre and serves as the CTO of a diagnostic company Lybe Scientific A/S. Trained as a chemical engineer, he specializes in the field of colloids, polymers, and nanomaterials with an overall interest in tailoring particles towards specific applications in the field of nanomedicine.
Inhaltsangabe
SECTION I: Synthesis and Formation Mechanisms of NPs 1. Nucleation and Growth of NPs 2. Characterization of NPs 3. Spherical Magnetic NPs 4. Anisotropic Magnetic NPs 5. Spherical Plasmonic NPs 6. Anisotropic Plasmonic NPs 7. Polymeric NPs 8. Multifunctional NPs SECTION II: Modelling Approaches for Understanding Formation Mechanisms of NPs 9. Overview of Modelling Approaches 10. Density Functional Theory (DFT) 11. Molecular Dynamics (MD) 12. Monte Carlo Simulation (MC) 13. Population Balance Model (PB) SECTION III: Biomedical Applications of NPs 14. Biosensing 15. Diagnostics and Imaging 16. Drug Delivery
SECTION I: Synthesis and Formation Mechanisms of NPs 1. Nucleation and Growth of NPs 2. Characterization of NPs 3. Spherical Magnetic NPs 4. Anisotropic Magnetic NPs 5. Spherical Plasmonic NPs 6. Anisotropic Plasmonic NPs 7. Polymeric NPs 8. Multifunctional NPs SECTION II: Modelling Approaches for Understanding Formation Mechanisms of NPs 9. Overview of Modelling Approaches 10. Density Functional Theory (DFT) 11. Molecular Dynamics (MD) 12. Monte Carlo Simulation (MC) 13. Population Balance Model (PB) SECTION III: Biomedical Applications of NPs 14. Biosensing 15. Diagnostics and Imaging 16. Drug Delivery
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