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SUMMARY:Radek Erban (University of Oxford)
DTSTART:20261123T144000Z
DTEND:20261123T161000Z
DTSTAMP:20261113T192939Z
UID:NSCM/219
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/NSCM/219/">M
 ultiresolution Modelling of Intracellular Processes</a>\nby Radek Erban (U
 niversity of Oxford) as part of Nečas Seminar on Continuum Mechanics\n\nI
 nteractive livestream: https://cesnet.zoom.us/j/94319936814?pwd=Y0pRL0FpWE
 hhQ1U4TzZGc2FDQVM4Zz09\nView-only livestream: https://www.youtube.com/chan
 nel/UCn9vmevniyXXLEr7VBp5cCQ\nLecture held in Room K3\,  Faculty of Mathem
 atics and Physics\, Charles University\, Sokolovská 83  Prague 8..\n\nAbs
 tract\nSpatio-temporal modelling of biological processes inside living cel
 ls relies on mathematical and computational methods that differ in the lev
 el of biological detail they capture. In my talk\, I will discuss modellin
 g approaches ranging from all-atom molecular dynamics simulations to macro
 scopic mean-field models described by partial differential equations (PDEs
 )\, with intermediate (mesoscopic) approaches including Brownian dynamics 
 and stochastic coarse-grained models. In some cases\, rigorous connections
  between these modelling frameworks can be established by deriving macrosc
 opic descriptions from more detailed models. I will discuss these connecti
 ons\, focusing on the development\, analysis\, and applications of multire
 solution methods that combine detailed (high-resolution) simulations in lo
 calized regions of particular interest\, where accuracy and microscopic de
 tail are crucial\, with coarser macroscopic models elsewhere\, where some 
 accuracy can be traded for computational efficiency. I will illustrate the
 se methodologies through applications to intracellular calcium dynamics\, 
 actin dynamics\, and DNA dynamics.\n
LOCATION:https://researchseminars.org/talk/NSCM/219/
URL:https://cesnet.zoom.us/j/94319936814?pwd=Y0pRL0FpWEhhQ1U4TzZGc2FDQVM4Z
 z09
URL:https://www.youtube.com/channel/UCn9vmevniyXXLEr7VBp5cCQ
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