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1
Introduction
2
What is assembly
3
Selfassembly
4
Crystallization
5
Examples of crystals
6
Complex crystal structures
7
Soft matter
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Example
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Title
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Clathrate colloidal crystals
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Nanoparticle shapes
12
Computer simulations
13
Molecular dynamics
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Open Source
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Best Practices
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Signiac Framework
17
Signiac Research
18
File Naming
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Sadiak
20
Data Visualization
21
Machine Learning on Data
22
Machine Learning Website
23
Machine Learning Example
24
Structural Describing
25
Continuous Topology
26
MNIST
27
Selfassembly pathway
28
Crystal structures
29
Summary
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Conclusion
31
Questions
Description:
Explore data science applications in assembly engineering through this 56-minute conference talk by Sharon C Glotzer at KDD. Delve into key concepts such as self-assembly, crystallization, and complex crystal structures in soft matter. Discover the role of computer simulations, molecular dynamics, and open-source practices in studying nanoparticle shapes and clathrate colloidal crystals. Learn about the Signiac Framework for research, best practices in file naming, and data visualization techniques. Gain insights into machine learning applications for structural description, continuous topology, and self-assembly pathways. Enhance your understanding of how data science tools can be leveraged to advance assembly engineering and crystal structure analysis.

Data Science for Assembly Engineering - Sharon C Glotzer

Association for Computing Machinery (ACM)
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