Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Last revision Both sides next revision
list_of_the_dpd_club_meeting_topics [2017/04/04 22:42]
xl24 [02/23/17]
list_of_the_dpd_club_meeting_topics [2017/05/24 17:22]
xl24 [04/27/17]
Line 1: Line 1:
 ===== List of Past DPD Club Meeting Topics ===== ===== List of Past DPD Club Meeting Topics =====
 +
 +===== 05/25/17 =====
 +Speaker: Drs. [[https://​www.brown.edu/​research/​projects/​capture-and-conversion-of-co2/​yin-jia-zhang|Yin-Jia Zhang]] (Department of Chemistry, Brown University) & [[http://​www.dam.brown.edu/​people/​ytang/​|Yu-Hang Tang]] (Division of Applied Mathematics,​ Brown University)\\ Title: Accelerating DFT-based atomistic geometry calculations using Artificial Neural Networks and the AMP package. \\ Reference: \\
 +1. A. Khorshidi and A. Peterson (2016). [[http://​www.sciencedirect.com/​science/​article/​pii/​S0010465516301266|AMP:​ A modular approach to machine learning in atomistic simulations.]] Comput Phys Commun, 207: 310-324.
 +
 +===== 04/27/17 =====
 +*Speaker: Dr. [[Alireza Yazdani]] \\ Title: Multiscale Modeling of Blood Clotting in Flow using DPD. \\
 +*Speaker: Dr. [[https://​scholar.google.com/​citations?​user=jlI9vl0AAAAJ&​hl=en|Hung-Yu Chang]] \\ Title: Gene Therapy in a Patient with Sickle Cell Disease (Paper Review: N Engl J Med, 2017, 376, 848-855) \\ Reference: \\
 +1. J. Ribeil, et al. (2017). [[http://​www.nejm.org/​doi/​full/​10.1056/​NEJMoa1609677|Gene Therapy in a Patient with Sickle Cell Disease.]] N Engl J Med, 376: 848-855. \\
 +2. B. P. Frédéric, H. S. Martin, and D. C. Rees. (2017) [[http://​www.nejm.org/​doi/​full/​10.1056/​NEJMra1510865|Sickle Cell Disease]]. N Engl J Med, 376: 1561-1573.
 +
  
 ===== 04/06/17 ===== ===== 04/06/17 =====
-   * Speaker: Dr. Safa Jamali (Department of Mechanical Engineering,​ MIT) \\ Title: Connecting Microstructure to Macroscopic Properties in Complex Fluids: Towards Design of Soft Materials with Tunable Properties \\ Abstract: The field of complex fluids encompasses a wide class of materials, which exhibit unusual mechanical responses to an applied stress or strain. In virtually all complex fluids, this rich and unusual mechanical response originates from a microstructure that responds to different applied stress or strain in specific and varied ways. Thus understanding the microstructure – macroscopic behavior relationship is a crucial step for systematically designing complex fluid materials for novel applications. The complex fluid landscape can be subdivided based on the particle-level interactions that govern their underlying microstructure and the resulting macro rheology. For example, viscosity of a dense suspension of repulsive or neutral colloidal particles progressively increases with increasing the rate of deformation. This behavior is called Shear-Thickening behavior, and is best exemplified by someone’s ability to run on a pool of cornstarch and water, and sinking in while standing still. On the other hand, a distinct hallmark of attractive Brownian particles, even at small and intermediate concentrations,​ is their ability to self-assemble into percolated networks that span over the sample size. These structures show a rich time and rate dependent response to applied deformation/​forces such as yielding, shear banding, microphase separation and flow heterogeneities,​ etc. I will present a computational framework to bridge the gap between microstructure to macroscopic properties of complex fluids, using hydrodynamics and statistical mechanics: First I will discuss the role of hydrodynamics,​ friction and particle geometry/​deformability in shear-thickening fluids, and secondly, the role of microstructural evolutions of attractive systems in defining their mechanical response.+   * Speaker: Dr. [[https://​nnf.mit.edu/​people/​safa-jamali|Safa Jamali ​]](Department of Mechanical Engineering,​ MIT) \\ Title: Connecting Microstructure to Macroscopic Properties in Complex Fluids: Towards Design of Soft Materials with Tunable Properties \\ Abstract: The field of complex fluids encompasses a wide class of materials, which exhibit unusual mechanical responses to an applied stress or strain. In virtually all complex fluids, this rich and unusual mechanical response originates from a microstructure that responds to different applied stress or strain in specific and varied ways. Thus understanding the microstructure – macroscopic behavior relationship is a crucial step for systematically designing complex fluid materials for novel applications. The complex fluid landscape can be subdivided based on the particle-level interactions that govern their underlying microstructure and the resulting macro rheology. For example, viscosity of a dense suspension of repulsive or neutral colloidal particles progressively increases with increasing the rate of deformation. This behavior is called Shear-Thickening behavior, and is best exemplified by someone’s ability to run on a pool of cornstarch and water, and sinking in while standing still. On the other hand, a distinct hallmark of attractive Brownian particles, even at small and intermediate concentrations,​ is their ability to self-assemble into percolated networks that span over the sample size. These structures show a rich time and rate dependent response to applied deformation/​forces such as yielding, shear banding, microphase separation and flow heterogeneities,​ etc. I will present a computational framework to bridge the gap between microstructure to macroscopic properties of complex fluids, using hydrodynamics and statistical mechanics: First I will discuss the role of hydrodynamics,​ friction and particle geometry/​deformability in shear-thickening fluids, and secondly, the role of microstructural evolutions of attractive systems in defining their mechanical response.
  
  

Navigation
QR Code
QR Code List of Past DPD Club Meeting Topics (generated for current page)