***ATTENTION Indico Users***

Important changes to user logins are coming to Indico at BNL.

Please see the News section for more information.

Particle Physics Seminars at BNL

Machine Learning Applicability to Ejecta Production

by Bryce Fore

US/Eastern
Description

Ejecta production in shocked systems is affected by surface geometry, impact parameters, and other material properties. These systems can be modeled well using simulations, but only with very high-fidelity simulations that require a large amount of computational time to complete. In this talk I will present work showing the utility of various machine learning techniques to ejecta physics, including unsupervised clustering of different types of ejecta particles, binary classification of which systems will and will not produce ejecta, and supervised learning of surface evolution after shock impact. The results from the use of each of these techniques provide motivation for further studies of ejecta physics with machine learning.

 

 

Topic: BNL Particle Physics Seminar Mar 15 Monday

Time: Mar 15, 2021 03:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://fnal.zoom.us/j/99847651969?pwd=aUlWWFBMWU4wREpiSU0vWHNhTzE1QT09

Meeting ID: 998 4765 1969
Passcode: 773324
One tap mobile
+16465588656,,99847651969#,,,,*773324# US (New York)
+13126266799,,99847651969#,,,,*773324# US (Chicago)

Dial by your location
        +1 646 558 8656 US (New York)
        +1 312 626 6799 US (Chicago)
        +1 301 715 8592 US (Washington DC)
        +1 669 900 6833 US (San Jose)
        +1 253 215 8782 US (Tacoma)
        +1 346 248 7799 US (Houston)
Meeting ID: 998 4765 1969
Passcode: 773324
Find your local number: https://fnal.zoom.us/u/aepN4Rq3h8

Join by SIP
99847651969@zoomcrc.com

Join by H.323
162.255.37.11 (US West)
162.255.36.11 (US East)
115.114.131.7 (India Mumbai)
115.114.115.7 (India Hyderabad)
213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
103.122.166.55 (Australia Sydney)
103.122.167.55 (Australia Melbourne)
209.9.211.110 (Hong Kong SAR)
64.211.144.160 (Brazil)
69.174.57.160 (Canada Toronto)
65.39.152.160 (Canada Vancouver)
207.226.132.110 (Japan Tokyo)
149.137.24.110 (Japan Osaka)
Meeting ID: 998 4765 1969
Passcode: 773324

 

Organized by

Brett Viren, Hanyu Wei