Demonstrating the Transferability and the Descriptive Power of Sketch-Map

Increasingly, it is recognized that new automated forms of analysis are required to understand the high-dimensional output obtained from atomistic simulations. Recently, we introduced a new dimensionality reduction algorithm, sketch-map, that was designed specifically to work with data from molecula...

Full description

Bibliographic Details
Main Authors: Ceriotti, M, Tribello, G, Parrinello, M
Format: Journal article
Language:English
Published: 2013
_version_ 1797069237598027776
author Ceriotti, M
Tribello, G
Parrinello, M
author_facet Ceriotti, M
Tribello, G
Parrinello, M
author_sort Ceriotti, M
collection OXFORD
description Increasingly, it is recognized that new automated forms of analysis are required to understand the high-dimensional output obtained from atomistic simulations. Recently, we introduced a new dimensionality reduction algorithm, sketch-map, that was designed specifically to work with data from molecular dynamics trajectories. In what follows, we provide more details on how this algorithm works and on how to set its parameters. We also test it on two well-studied Lennard-Jones clusters and show that the coordinates we extract using this algorithm are extremely robust. In particular, we demonstrate that the coordinates constructed for one particular Lennard-Jones cluster can be used to describe the configurations adopted by a second, different cluster and even to tell apart different phases of bulk Lennard-Jonesium. © 2013 American Chemical Society.
first_indexed 2024-03-06T22:21:30Z
format Journal article
id oxford-uuid:5534c685-5f1a-407e-a553-5f428968edd2
institution University of Oxford
language English
last_indexed 2024-03-06T22:21:30Z
publishDate 2013
record_format dspace
spelling oxford-uuid:5534c685-5f1a-407e-a553-5f428968edd22022-03-26T16:42:32ZDemonstrating the Transferability and the Descriptive Power of Sketch-MapJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5534c685-5f1a-407e-a553-5f428968edd2EnglishSymplectic Elements at Oxford2013Ceriotti, MTribello, GParrinello, MIncreasingly, it is recognized that new automated forms of analysis are required to understand the high-dimensional output obtained from atomistic simulations. Recently, we introduced a new dimensionality reduction algorithm, sketch-map, that was designed specifically to work with data from molecular dynamics trajectories. In what follows, we provide more details on how this algorithm works and on how to set its parameters. We also test it on two well-studied Lennard-Jones clusters and show that the coordinates we extract using this algorithm are extremely robust. In particular, we demonstrate that the coordinates constructed for one particular Lennard-Jones cluster can be used to describe the configurations adopted by a second, different cluster and even to tell apart different phases of bulk Lennard-Jonesium. © 2013 American Chemical Society.
spellingShingle Ceriotti, M
Tribello, G
Parrinello, M
Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title_full Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title_fullStr Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title_full_unstemmed Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title_short Demonstrating the Transferability and the Descriptive Power of Sketch-Map
title_sort demonstrating the transferability and the descriptive power of sketch map
work_keys_str_mv AT ceriottim demonstratingthetransferabilityandthedescriptivepowerofsketchmap
AT tribellog demonstratingthetransferabilityandthedescriptivepowerofsketchmap
AT parrinellom demonstratingthetransferabilityandthedescriptivepowerofsketchmap