Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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2017 nî lūn-bûn

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2017年学术文章

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Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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Multi-atom pattern analysis for binary superlattices.

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P1476

Multi-atom pattern analysis for binary superlattices

@en

P2093

Wesley F Reinhart

http://www.w3.org/2001/XMLSchema#string

P2860

Structural diversity in binary nanoparticle superlattices

Systematic determination of order parameters for chain dynamics using diffusion maps.

Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps.

Machine learning assembly landscapes from particle tracking data.

A new graph-based method for pairwise global network alignment.

Assembly of multi-flavored two-dimensional colloidal crystals.

Machine learning for autonomous crystal structure identification.

Nonlinear machine learning and design of reconfigurable digital colloids.

Nonlinear machine learning of patchy colloid self-assembly pathways and mechanisms.

Non-additive simple potentials for pre-programmed self-assembly.

P304

6803-6809

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P31

scholarly article

P356

10.1039/C7SM01642E

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Athanassios Z. Panagiotopoulos

P577

2017-10-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28949366

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