Making molecular machines work

By W. Browne, B. Feringa. Nature Nanotechnology, 2006

1,251 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Organic Chemistry

View Paper: https://www.semanticscholar.org/paper/a6aa31746a8a497d232f01ac9ae171c7dc55968c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Debashish Chowdhury
2. U. Seifert

In Electrical and Electronic Engineering

1. Debashish Chowdhury
2. Fabio Marchesoni
3. P. Hänggi
4. U. Seifert

In Organic Chemistry

1. Debashish Chowdhury
2. U. Seifert

Citations in the corpus

• Stochastic thermodynamics, fluctuation theorems and molecular machines (2012, background): “Building reliable artificial molecular motors in the lab still constitutes a major challenge as reviewed in [487, 488, 489, 490, 491, 492].”
• Artificial Brownian motors: Controlling transport on the nanoscale (2008, background): “Yet, this area of research is fascinating and we therefore encourage the interested reader to read some recent items and tutorials (Astumian, 2007; Balzani et al., 2006; Browne and Feringa, 2006; Porto et al., 2000) and to consult the timely and most comprehensive reviews by Kottas et al.”
• Optical tweezers and their applications (2018, methodology): “This miniaturization process is crucial for the development of nanotechnology [181] and, in this context, optical tweezers are a powerful tool to assemble micro- and nanodevices thanks to their ability of contactless manipulation [182, 183, 10].”
• A micrometre-sized heat engine operating between bacterial reservoirs (2016, background): “of-equilibrium [10], a scenario of particular importance to the functioning of synthetic [11, 12] and biological [13] micro engines and motors.”