BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Gr-ResQ - ECPv5.3.1.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Gr-ResQ
X-ORIGINAL-URL:https://graphene.illinois.edu
X-WR-CALDESC:Events for Gr-ResQ
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20210314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20211107T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210120T173000
DTEND;TZID=America/Chicago:20210120T190000
DTSTAMP:20260916T013535
CREATED:20201205T180334Z
LAST-MODIFIED:20210116T221533Z
UID:135-1611163800-1611169200@graphene.illinois.edu
SUMMARY:Day 2 Gr-ResQ Training (all are welcome!)
DESCRIPTION:This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open\, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition\, (ii) a set of analysis tools that enable users to analyze the database\, and (iii) an online cyber-physical manufacturing network that provides access to distributed CVD reactors in the form of online transactions. The purpose of Gr-ResQ is to enable wide-scale sharing of data around CVD synthesis of graphene in order to advance community knowledge of the synthesis process. Gr-ResQ was developed in collaboration with the Materials Data Facility and with the Operating System for Cyberphysical Manufacturing. You may read more about Gr-ResQ here. \nIn this tutorial\, you will:\n• learn how to access Gr-ResQ database and analysis tools on nanohub.org\n• learn how to search for and contribute recipes to the Gr-ResQ database\n• be trained on the analysis tools available\, including raman spectrum analysis and machine learning/deep learning based analysis of SEM images\n• learn how to request remote experiments through the online network\, or participate in the network \nTo participate\, you will need a computer with an internet connection. Prior to joining the training\, if you do not already have an account on nanoHUB please create an account for yourself by clicking here. \nWe hope that after the tutorial you will join the Gr-ResQ community to help gather our collective knowledge about the synthesis process!
URL:https://graphene.illinois.edu/activity/day-x-gr-resq-training-all-are-welcome/
ATTACH;FMTTYPE=image/png:https://graphene.illinois.edu/wp-content/uploads/2020/12/training2.png
END:VEVENT
END:VCALENDAR