Predictive Self-Assembly of Polyhedra into Complex Structures
By P. Damasceno, Michael Engel, Sharon C. Glotzer. Science, 2012
967 citations recorded by the source corpus.
Subfields: Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/c0224c5bd47a316db7cabe179388c87794f35363
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
In Mechanical Engineering
- Michael Lewis
- Hans Jürgen Herrmann
- Nilanjan Chakraborty
- Di Zhou
- Bo Li
- Hernán A. Makse
- Adrian Baule
- Andreas Kolling
Citations in the corpus
- Prospects of nanoscience with nanocrystals. (2015, neutral): “the case of most polyhedral shapes, researchers recently demonstrated the ability to make accurate computational predictions on their assembly behavior.(246,247) Predictions, however, turn out to be much more complicated for objects of more complex forms, such as branched NPs.”
- Assembly and phase transitions of colloidal crystals (2016, methodology): “Modern simulation techniques can be used for efficiently exploring the large parameter space of anisotropic building blocks and their packing structures [69, 71, 72, 96, 104], and, in turn, could reveal general rules governing their assembly and structure.”
- Human Interaction With Robot Swarms: A Survey (2016, background): “For example, work on predictive self-assembly [54] of polyhedra has been useful for determining how to generate self-assembled structures, i.”