Cargando…
Precise atom manipulation through deep reinforcement learning
Atomic-scale manipulation in scanning tunneling microscopy has enabled the creation of quantum states of matter based on artificial structures and extreme miniaturization of computational circuitry based on individual atoms. The ability to autonomously arrange atomic structures with precision will e...
Autores principales: | Chen, I-Ju, Aapro, Markus, Kipnis, Abraham, Ilin, Alexander, Liljeroth, Peter, Foster, Adam S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722711/ https://www.ncbi.nlm.nih.gov/pubmed/36470857 http://dx.doi.org/10.1038/s41467-022-35149-w |
Ejemplares similares
-
Learning Mobile Manipulation through Deep Reinforcement Learning
por: Wang, Cong, et al.
Publicado: (2020) -
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
por: Han, Dong, et al.
Publicado: (2023) -
Synthesis
and Properties of Monolayer MnSe with Unusual
Atomic Structure and Antiferromagnetic Ordering
por: Aapro, Markus, et al.
Publicado: (2021) -
Manipulation of free-floating objects using Faraday flows and deep reinforcement learning
por: Hardman, David, et al.
Publicado: (2022) -
Learn to Steer through Deep Reinforcement Learning
por: Wu, Keyu, et al.
Publicado: (2018)