BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250416T153000
DTEND;TZID=America/New_York:20250416T163000
DTSTAMP:20260602T085910
CREATED:20241223T152048Z
LAST-MODIFIED:20241223T152048Z
UID:12802-1744817400-1744821000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Computational Design and Simulations of Soft Matter: From Molecular Insights to Functional Materials" (Antonia Statt\, UIUC)
DESCRIPTION:Abstract: \nI will present the phase separation behavior of different sequences of a coarse-grained model for sequence defined macromolecules. They exhibit a surprisingly rich phase behavior\, and not only conventional liquid-liquid phase separation is observed\, but also reentrant phase behavior. Most sequences form open phases consisting of large\, interconnected aggregates (e.g. string-like or membrane-like clusters)\, rather than a conventional dense liquids. Minor alterations in the sequence may lead to large changes in the overall phase behavior\, a fact of significant potential relevance for biology and for designing self-assembled structures using block copolymers. I will also discuss recent results from unsupervised manifold learning (UMAP) to classify the different aggregate types and what we can learn from machine learning. Using a bidirectional Recurrent Neural Network (RNN)\, we can now predict which sequence will self-assemble into what aggregate structure. With this framework\, we can investigate the effects of dispersity and sequence errors\, which is of immediate importance for experimental investigations. \nAdditionally\, I will briefly discuss how block copolymers interact with biological lipid membranes to form hybrid membranes. Hybrid phospholipid block copolymer bilayers display many properties\, seen in biomembranes such as selective transport phenomena\, synergistic elastic properties\, and structural phase transformations. Just like in biomembranes\, these fundamental properties of hybrid bilayers are often regulated by lateral phase separation. Understanding the molecular and physical cues that determine the formation of rafts or domains in hybrid membranes\, their size\, and morphology is paramount to elucidating and programming their function. We find that at low polymer content\, a new structure develops in which the bilayer leaflets unzip (but remain continuous) to incorporate nanodomains of hydrophobic butadiene globules. Our findings offer new insights into the morphology of biomembranes upon the insertion of transmembrane proteins with bulky hydrophobic residues.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-computational-design-and-simulations-of-soft-matter-from-molecular-insights-to-functional-materials-antonia-statt-uiuc/
LOCATION:Wu & Chen Auditorium
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
END:VCALENDAR