The Problem with Determining Atomic Structure at the Nanoscale

By Simon J. L. Billinge, I. Levin. Science, 2007

641 citations recorded by the source corpus.

Subfields: Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/e2399af9687865a198da9a2c3eefe913f11d0d79

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

1. Keith T. Butler
2. Aron Walsh
3. Olexandr Isayev
4. Hugh M. Cartwright
5. D. Davies
6. Nicholas J. Schork

Citations in the corpus

• Machine learning for molecular and materials science (2018, background): “Analyses of individual streams often result in conflicting descriptions of the same compound.(47) A solution would be to incorporate real-time data into the modelling with results that are then returned to the experiment, forming a feedback loop.”