SCOPUS 정보 검색 플랫폼

Soft Matter

Volumn 11, Issue 41, 2015, Pages 8141-8153

Machine learning assembly landscapes from particle tracking data

(4) Long, Andrew W a Zhang, Jie a Granick, Steve b Ferguson, Andrew L a

a United States of America (United States)

b Ulsan National Institute of Science and Technology (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; ARTIFICIAL INTELLIGENCE; DIGITAL STORAGE; ELECTRIC FIELDS; FUNCTIONAL MATERIALS; SELF ASSEMBLY; TERMINALS (ELECTRIC);

AGGREGATION STATE; EXPERIMENTAL CONDITIONS; METALLODIELECTRIC; ORDER PARAMETER; OSCILLATION FREQUENCY; PARTICLE TRACKING; SALT CONCENTRATION; STRUCTURAL ASSEMBLIES;

LEARNING SYSTEMS;

COLLOID; METAL NANOPARTICLE; TITANIUM;

CHEMISTRY; COLLOID; MACHINE LEARNING; PARTICLE SIZE; THERMODYNAMICS;

COLLOIDS; MACHINE LEARNING; METAL NANOPARTICLES; PARTICLE SIZE; THERMODYNAMICS; TITANIUM;

EID: 84944339306 PISSN: 1744683X EISSN: 17446848 Source Type: Journal
DOI: 10.1039/c5sm01981h Document Type: Article

Times cited : (63)

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