List of all invited speakers will be announced on March 15, 2022.
Session 1 Mathematics and Statistics (MST)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Maximizing Capture Efficiency of Coated Magnetic Nanoparticles in Arterial Flow: a Computational Model for Magnetic Drug Targeting
In magnetic drug targeting, magnetic nanoparticles (NPs) coated by biocompatible materials and therapeutic agents are injected into the blood vessel and are then specified to target organ or abnormal tissue in the body by applied magnetic fields. There are still several limitations of magnetic drug delivery. The main limitation relates to the strength of an external magnetic field that can be applied to vector the NPs to the deeper region. Another limitation relates to the small size of NPs that implies a magnetic respond of reduced strength, making it difficult to direct particles and keep them in the proximity of the target while withstanding the drag of blood flow. The objective of this research is to computationally model and study the parameters that play a significant role on the performance of magnetic drug targeting including: (i) realistic blood velocity profile, (ii) blood vessel sizes, (iii) magnetic properties including the sizes and choices (Fe, Fe3O4, Fe2O3) of magnetic materials, (iv) magnetic field strength and (v) the choices of coated materials (SiO2, PEG, Au). According to our calculated results, it was found that the size and the thickness of coated materials are the most important factors maximizing capture efficicency at the target site. This study is beneficial for guiding experimentalists to develop and synthesis magnetic naoparticles that leads to the maximum capture efficiency of magnetic drug delivery.
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Maximizing Capture Efficiency of Coated Magnetic Nanoparticles in Arterial Flow: a Computational Model for Magnetic Drug Targeting
agnetic drug targeting, magnetic nanoparticles (NPs) coated by biocompatible materials and therapeutic agents are injected into the blood vessel and are then specified to target organ or abnormal tissue in the body by applied magnetic fields. There are still several limitations of magnetic drug delivery. The main limitation relates to the strength of an external magnetic field that can be applied to vector the NPs to the deeper region. Another limitation relates to the small size of NPs that implies a magnetic respond of reduced strength, making it difficult to direct particles and keep them in the proximity of the target while withstanding the drag of blood flow. The objective of this research is to computationally model and study the parameters that play a significant role on the performance of magnetic drug targeting including: (i) realistic blood velocity profile, (ii) blood vessel sizes, (iii) magnetic properties including the sizes and choices (Fe, Fe3O4, Fe2O3) of magnetic materials, (iv) magnetic field strength and (v) the choices of coated materials (SiO2, PEG, Au). According to our calculated results, it was found that the size and the thickness of coated materials are the most important factors maximizing capture efficicency at the target site. This study is beneficial for guiding experimentalists to develop and synthesis magnetic naoparticles that leads to the maximum capture efficiency of magnetic drug delivery.
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Assoc. Prof. Sally Smith
University of XX
Peptide-Driven Exfoliation and Dispersion Mechanisms of Graphene in Aqueous Media
Peptide-mediated exfoliation and suspension of graphene in aqueous media is a promising strategy for bioapplications such as drug delivery, tissue engineering, and biosensors. A few peptide sequences are known as graphene exfoliators/dispersants in water, but the mechanisms underpinning this process remain underexplored. Here, molecular simulations investigate two key steps: sheet exfoliation and subsequent sheet reunification, in aqueous media. Umbrella sampling simulations predict the energy required to separate a graphene sheet from a graphite stack in both the presence/absence of the graphene-exfoliant peptide, P1. The free-energy barrier for reunification of two P1-coated graphene sheets is similarly calculated. Under sonication, the benefit from the relatively lower free-energy barrier associated with exfoliation in the absence of the peptide is negated by its facile reunification postsonication. In contrast, although P1 slightly increases the energy barrier to exfoliation under sonication, the peptides confer high-energy barriers to sheet reunification, thus ensuring stable aqueous graphene dispersions.
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Session 2 Computational Physics, Computational Fluid Dynamics, and Solid Mechanics (PFD)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Title of the talk here
Abstract here!!
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Title of the talk here!!
A short bio with personal history, key achievements, or an interesting fact.
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Assoc. Prof. Sally Smith
University of XX
Title of the talk here!!!
Abstract here
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Session 3 Computational Chemistry (CHE)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Title of the talk here
Abstract here!!
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Title of the talk here!!
A short bio with personal history, key achievements, or an interesting fact.
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Assoc. Prof. Sally Smith
University of XX
Title of the talk here!!!
Abstract here
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Session 4 Computational Biology, Bioinformatics, Biochemistry, and Biophysics (BIO)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Title of the talk here
Abstract here!!
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Title of the talk here!!
A short bio with personal history, key achievements, or an interesting fact.
Email me: mail@example.com
Assoc. Prof. Sally Smith
University of XX
Title of the talk here!!!
Abstract here
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Session 5 High Performance Computing, Computer Science, and Engineering (HPC)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Title of the talk here
Abstract here!!
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Title of the talk here!!
A short bio with personal history, key achievements, or an interesting fact.
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Assoc. Prof. Sally Smith
University of XX
Title of the talk here!!!
Abstract here
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Session 6 Artificial Intelligence for Science and Engineering (AIS)
Assoc. Prof. Sally Smith
Chiang Mai University, Thailand
Title of the talk here
Abstract here!!
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Assoc. Prof. Juan Pérez
Khon Kaen University, Thailand
Title of the talk here!!
A short bio with personal history, key achievements, or an interesting fact.
Email me: mail@example.com
Assoc. Prof. Sally Smith
University of XX
Title of the talk here!!!
Abstract here
Email me: mail@example.com
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