Meetings

Past News & Announcements 

2020

GDS Virtual March Meeting Session #11

Dear GDS Members,

Topical Group on Data Science is hosting its 11th webinar on Friday, May 29, 2020. Please register and join us for another exciting session at the intersection of machine learning and physics. Session 11 Registration

Thermodynamics and Learning

Schedule:

  • 1:00 - 1:05pm ET | Welcome!
    1:05 - 1:41pm ET | Alex Alemi - Thermodynamics of Machine Learning
    1:41 - 2:17pm ET | Nicole Yunger Halpern - Learning about learning by many-body systems
    2:17 - 2:53pm ET | Pratyush Tiwary - From atoms to emergent dynamics: with help from statistical physics and artificial intelligence

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You can check out our past webinars here.


GDS Virtual March Meeting Session #10

Dear GDS members,

Topical Group on Data Science is hosting its 10th webinar on Friday, May 15, 2020. This is a special invited session featuring Victor Bapst from Google DeepMind. Victor will discuss his most recent publication on Nature Physics, in which he and colleagues predicted the long-time dynamics of supercooled liquids solely from their initial static structures using graph neural networks. Please register and join us for another exciting session at the intersection of machine learning and physics. Session 10 Registration

Schedule:

  • 1:00 - 1:05pm ET | Welcome!
  • 1:05 - 1:50pm ET | Victor Bapst - Unveiling the Predictive Power of Static Structure in Glassy Systems
  • 1:50 – 2:00pm ET | Q & A

Nature Physics Article

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You can check out our past webinars here.


GDS Virtual March Meeting Session #9

Topical Group on Data Science is hosting its 9th webinar on Friday, May 8, 2020. Please register and join us for another exciting webinar at the intersection of machine learning and physics: Session 9 Registration

Deep Learning in Physics - Short Talks

Schedule:

  • 1:00 - 1:05pm ET | Welcome!
  • 1:05 - 1:25pm ET | Leopoldo Sarra - Unsupervised feature extraction in simple physical models through mutual information maximization
  • 1:25 - 1:45pm ET | Samuel Kim - Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
  • 1:45 - 2:05pm ET | William Mitchell - SignalTrain: Modeling Time-Dependent Nonlinear Signal Processing Effects Using Deep Neural Networks

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist.


GDS Virtual March Meeting Session #8

Dear GDS Members,

Topical Group on Data Science is hosting its 8th webinar on Friday, May 1, 2020. Please register and join us for another exciting webinar at the intersection of machine learning and physics: Session 8 Registration

Schedule:

  • 4:00 - 4:05 pm ET | Welcome!
  • 4:05 - 5:05 pm ET | Sergei V. Kalinin - Machine Learning Beyond Correlative Models: Bayesianity, Parsimony, Causality, and Automated Experiment

About Sergei V. Kalinin: Sergei Kalinin is a distinguished staff member at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. He received his MS degree from Moscow State University in 1998 and Ph.D. from the University of Pennsylvania (with Dawn Bonnell) in 2002. His research presently focuses on the applications of big data and artificial intelligence methods in atomically resolved imaging by scanning transmission electron microscopy and scanning probes for applications including physics discovery and atomic fabrication, as well as mesoscopic studies of electrochemical, ferroelectric, and transport phenomena via scanning probe microscopy. Sergei has co-authored >650 publications, with a total citation of >32,000 and an h-index of >88. He is a fellow of MRS, APS, IoP, IEEE, Foresight Institute, and AVS; a recipient of the Blavatnik Award for Physical Sciences (2018), RMS medal for Scanning Probe Microscopy (2015), Presidential Early Career Award for Scientists and Engineers (PECASE) (2009); Burton medal of Microscopy Society of America (2010); 4 R&D100 Awards (2008, 2010, 2016, and 2018); and a number of other distinctions.

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist.  


GDS Virtual March Meeting Session #7

Dear GDS Members,

Topical Group on Data Science is hosting its 7th webinar on Friday, April 24, 2020. Please register and join us for another series of exciting talks at the intersection of machine learning and physics:

GDS Virtual Session - Molecular Dynamics Ex Machina - April 24: Session 7 Registration

Schedule:

  • 1:00 - 1:05 pm ET | Welcome!
  • 1:05 - 1:41 pm ET | Milica Todorovic - Smart Sampling for Chemical Property Landscapes with BOSS
  • 1:41 - 2:17 pm ET | Albert Bartok - Embedding physics in machine learning potentials
  • 2:17 - 2:53 pm ET | Jonathan Vandermause - Automated training of machine learned potentials with Bayesian active learningWe understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session.
You may find the recording to our past webinars on this playlist.

GDS Virtual March Meeting Sessions #5 and #6

Topical Group on Data Science is hosting its next webinars on Friday, April 3, 2020 and Friday, April 10, 2020.

Please register and join us for another series of exciting talks at the intersection of machine learning and physics:

GDS Virtual Session - Autonomous Experimentation Tutorial - April 3: Autonomous Experimentation Registration

Schedule:

  • 1:00 - 1:05 ET | Welcome!
  • 1:05 - 2:05 ET | Daniel Samarov & Valentin Stanev - Gaussian Processes
  • 2:05 - 3:05 ET | Gilad Kusne - Active Learning in Experimental Systems
  • 3:05 - 4:05 ET | Boris Kozinsky - Active Learning of Molecular Dynamics Force Fields

GDS Virtual Session - Data Science Education - April 10: Data Science Education Registration

Schedule:

  • 4:00 - 4:05 ET | Welcome!
  • 4:05 - 4:41 ET | Amir Shahmoradi - Deep Learning Data Science Competencies to Promote Workplace Readiness
  • 4:41 - 5:17 ET | Mohammad Soltanieh-ha - Data Science Tools in the Classroom

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist: YouTube Channel


GDS Virtual March Meeting Session #4

Topical Group on Data Science is hosting its 4th webinar on Tuesday, March 24, 2020.

Please register and join us for another series of exciting talks at the intersection of machine learning and physics:

GDS Virtual Session - Imaging Short Course (2nd session) - Tuesday, March 24. Session 4 Registration

Schedule:

  • 3:00 - 3:05 EST | Welcome! GDS Executive Committee
  • 3:05 - 4:05 EST | Alexander Tropsha - Big data and machine learning in theory
  • 4:05 - 5:05 EST | Jason Hattrick-Simpers - ML in materials discovery

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. You may find the recording to our past webinars on this playlist.


GDS Virtual March Meeting Session #2 and #3

Check out the schedule of our 2nd and 3rd webinars on Friday, March 20, 2020:

GDS Virtual Session - Data Science Education: Data Science Education Registration

Agenda:

  • 1:00 - 1:04 EST | Welcome!
  • 1:04 - 1:40 EST | Devin Silvia - Designing curricula for data science based on fundamental skills and competencies informed by expert interviews
  • 1:40 - 2:16 EST | Trevor David Rhone - A beginner’s guide to using data science for physicists

GDS Virtual Session - Imaging Short Course: Imaging Short Course Registration

Agenda:

  • 3:00 - 3:05 EST | Welcome!
  • 3:04 - 4:20 EST | Maxim Ziatdinov - Applications of deep learning for active imaging: denoising, drift correction, and deep learning-based feature extraction
  • 4:20 - 5:20 EST | Rama Vasudevan - Learning physics from imaging data: mesoscopic and stochastic systems

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. March 13 Webinar


GDS Virtual March Meeting Sessions #1

Dear APS Members,

In light of the canceled March Meeting 2020, Topical Group on Data Science (GDS) is hosting a series of virtual sessions. Check out the schedule of our first webinar below and join us on Friday, March 13, 2020, 2:00 p.m. - 4:00 p.m. EST. Session 1 Registration

Schedule:

  • 2:00 p.m. - 2:10 p.m. EST | Welcome!
  • 2:10 p.m. - 2:46 p.m. EST | Patrick F Riley, Google Accelerated Science, Google - Machine learning for seeing and hearing more
  • 2:46 p.m. - 3:22 p.m. EST | Rama Vasudevan, Oak Ridge National Lab - Machine Learning in Scanning probe microscopy: accelerating imaging, enhancing resolution and Bayesian methodologies for theory-experiment matching
  • 3:22 p.m. - 3:58 p.m. EST | Sarah Stone, University of Washington - A university-wide approach to integrative data science education and career paths

We understand this time may not work for all time zones, but please register even if you are not able to attend. We will record the talks (when possible) and send you a link after the session. GDS Executive Committee


Google Cloud Hero @ APS

Join us for a fun learning experience! Get familiar with key Google Cloud Platform solutions in relevant Data and ML, and gain cloud skills through a hands-on lab experience.

During this 3-hour session, you’ll hear from Google Cloud experts on solutions pertinent to your work, enjoy physics-themed food and refreshments, learn and compete using Google's own labs and platform, and receive swag, and prizes for the APS Cloud Hero winners!

Tuesday, March 3, 6 PM-9 PM (MT), Colorado Convention Center

Stay Connected With GDS

#APSDataScience #gdsvirtual


GDS at the APS March Meeting 2020