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29 Oct 2021 |
Steff Farley
Loughborough University Mathematical Sciences |
Quantitative Data Integration with Computational Models of Dewetting Processes.
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12 Nov 2021 |
Vitaly Kurlin
MIF |
Continuous metrics on isometry classes of 2-dimensional lattices.
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26 Nov 2021 |
Andreas Alpers
Mathematical Sciences |
Tomographic Imaging of Crystalline Structures: Mathematics & Materials Science.
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10 Dec 2021 |
Vitaly Kurlin
MIF |
Visual maps of the isometry space of 3-dimensional lattices.
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14 Jan 2022 |
Michael White
University of Manchester |
Digital Fingerprinting of Microstructures.
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28 Jan 2022 |
Vitaly Kurlin
MIF |
Geographic-style maps of crystal lattices from the Cambridge Structural Database.
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04 Mar 2022 |
James Darby
University of Cambridge |
Compressing local atomic neighbourhood descriptors.
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11 Mar 2022 |
Vitaly Kurlin
MIF |
Continuous metrics and chiral distances for 2-dimensional lattices.
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25 Mar 2022 |
[open table]
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A discussion of equivalences and invariants of periodic crystals.
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01 Apr 2022 |
[open table]
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A discussion of continuous invariants and metrics on crystals.
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08 Apr 2022 |
Larry Andrews
Ronon Institute, USA |
Comparing crystal lattices.
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26 Apr 2022 |
Vitaly Kurlin
MIF |
The Crystal Isometry Principle.
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29 Apr 2022 |
Gregory McColm
University of South Florida, US |
Using Symmetry-Based Equivalence Relations in Classifying Crystallographic Structures
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06 May 2022 |
Emre S. Tasci
Hacettepe University, Turkey |
Using Group Theory to Relate and Compare Structures.
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13 May 2022 |
James Cumby
University of Edinburgh |
Encoding chemical similarity using pairwise distances.
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20 May 2022 |
Cyril Cayron
EPFL, Switzerland |
A method to reduce N-dimensional lattices and solve N-dimensional B�zout's identities.
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26 May 2022 |
Ryoko Tomiyasu
Kyushu University, Japan |
Reduction theory for determining the Bravais type of unit-cell parameters containing observation errors.
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10 Jun 2022 |
Jan Rohlíček
Institute of Physics of the Czech Academy of Sciences |
CrystalCMP : automatic comparison of molecular structures.
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17 Jun 2022 |
Michele Ceriotti
EPFL, Switzerland |
A unified theory of atom cloud representations for machine learning.
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