Special Seminar: Vitaliy Kurlin, University of Liverpool

Schedule

Fri Oct 11 2024 at 11:00 am to 12:30 pm

UTC-04:00

Location

Mudd Building | New York, NY

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Hosted by: Materials Science, Applied Physics and Applied Mathematics (APAM), and DSI
About this Event

Speaker: Vitaliy Kurlin, Professor of Computer Science, University of Liverpool

Location: Mudd Building - Room 214

Address: 500 W 120th St, New York, NY 10027

Hosted By:

  • Yuan Yang, Associate Professor of Materials Science and Engineering, Applied Physics and Applied Mathematics, Columbia University
  • Simon Billinge, Professor of Materials Science and Applied Physics and Applied Mathematics, Columbia University
  • Qiang Du, Fu Foundation Professor of Applied Mathematics, Columbia University


The Crystal Isometry Principle

The Crystal Isometry Principle, developed by Vitaliy Kurlin and his team, revolutionizes how we classify the millions of known crystal structures beyond their traditional groups. By using a novel method called the Pointwise Distance Distribution, this principle uniquely identifies crystals based on their ability to be rigidly matched in 3-dimensional space, offering a much finer classification. This breakthrough in crystallography allows for a more precise understanding of periodic structures, opening new avenues for study. This talk will detail the current work in development by Kurlin and his team at the Materials Innovation Factory, University of Liverpool, UK.


Bio: Prof Vitaliy Kurlin is a universal scientist, mathematician by training, now leading the Data Science Theory and Applications group in the Materials Innovation Factory, Liverpool, UK. He completed a PhD at Moscow State University (2003) and won a Marie Curie International Incoming Fellowship (2005-2007), Royal Academy of Engineering Industry Fellowship (2021-2023), and Royal Society APEX fellowship (2023-2025). His group is developing a new area of Geometric Data Science whose key results include the Crystal Isometry Principle (NeurIPS 2022) and a polynomial-time extension of the SSS theorem classifying triangles under congruence to any clouds of unordered points (CVPR 2023), see details at http://kurlin.org.

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Where is it happening?

Mudd Building, 500 West 120th Street, New York, United States

Event Location & Nearby Stays:

Tickets

USD 0.00

Data Science Institute, Columbia University

Host or Publisher Data Science Institute, Columbia University

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