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X-WR-CALNAME:Chimie ParisTech - PSL
X-ORIGINAL-URL:https://www.chimieparistech.psl.eu
X-WR-CALDESC:Évènements pour Chimie ParisTech - PSL
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DTSTART;TZID=Europe/Paris:20210701T080000
DTEND;TZID=Europe/Paris:20210716T170000
DTSTAMP:20210119T130915Z
CREATED:20210119T130915Z
LAST-MODIFIED:20210119T130915Z
UID:21198-1625126400-1626454800@www.chimieparistech.psl.eu
SUMMARY:ParisTech International Summer School
DESCRIPTION:Les écoles de ParisTech organisent du 1er au 16 juillet 2021 la première « ParisTech International Summer School ». Une belle opportunité pour les étudiants internationaux de découvrir comment on peut se former en France pour devenir un ingénieur de haut niveau au service de la société. \nPréservation du patrimoine culturel\, innovation et développement durable au programme. \nPlus d’informations ici
URL:https://www.chimieparistech.psl.eu/evenement-agenda/paristech-international-summer-school/
LOCATION:Chimie ParisTech – PSL\, 11\, rue Pierre et Marie Curie\, Paris\, 75005\, France
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DTSTART;TZID=Europe/Paris:20210705T113000
DTEND;TZID=Europe/Paris:20210705T123000
DTSTAMP:20210702T090119Z
CREATED:20210702T090119Z
LAST-MODIFIED:20210702T090119Z
UID:22003-1625484600-1625488200@www.chimieparistech.psl.eu
SUMMARY:Séminaire Programme Gradué Chimie PSL
DESCRIPTION:Teaching an old foam new tricks: material design\, memories and learning in aging solids\nDaniel Hexner \nDisordered solids are often out of equilibrium\, evolving slowly as they age. The small incremental changes inherent in the aging process reduce the internal stresses through microscopic plastic deformations within the material. While often considered as merely a nuisance and detrimental to reliable material design\, aging can\, in fact\, also be used as a tool to create novel functionality. Depending on the imposed deformation\, the system will evolve in different manners. By imposing various strain protocols\, we demonstrate that non-trivial elastic responses can be trained in a generic disordered solid. These include responses that are spatially dependent\, and highly nonlinear.  We argue that training can be considered a form of learning in materials\, and to that end we train a solid to classify high dimensional data that is inputted in form of imposed strains.\n\nOur approach for material design through training contrasts traditional approaches based on computer-aided optimization of the structure\, which is usually followed by careful fabrication. Functionality in our case is achieved from the self-organization of the large number of microscopic degrees of freedom\, rather than the difficult task of directly manipulating the microscopic structure.\n***********************\n\nhttps://us02web.zoom.us/j/83880710317?pwd=dVA5NHB6UXlTM3NsVWh2bzZTMHhEZz09\nID de réunion : 838 8071 0317\nCode secret : 692394
URL:https://www.chimieparistech.psl.eu/evenement-agenda/seminaire-programme-gradue-chimie-psl-36/
LOCATION:Visioconférence
CATEGORIES:Séminaire
ATTACH;FMTTYPE=image/png:https://www.chimieparistech.psl.eu/wp-content/uploads/2020/06/chimie1.png
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