# Monte Carlo tree search for materials design and discovery

https://mdr.nims.go.jp/datasets/090e7531-770a-4683-b4da-54adb4795944

## File

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## Id

090e7531-770a-4683-b4da-54adb4795944

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2021-08-05T16:24:08.758662Z

## Updated at

2024-01-05T13:11:17.631902Z

## Published at

2021-08-13T18:55:56.654087Z

## Doi



## First published url

https://doi.org/10.1557/mrc.2019.40

## Date published

2019-06-20

## Recorded date published

2019-6

## Resource type

journal_article

## Manuscript type

authors_original

## Collection



## Title

- title: Monte Carlo tree search for materials design and discovery
  title_type: original
  lang: en

## Description

- description: Materials design and discovery can be represented as selecting the
    optimal structure from a space of candidates that optimizes a target property.
    Since the number of candidates can be exponentially proportional to the structure
    determination variables, the optimal structure must be obtained efficiently. Recently,
    inspired by its success in the Go computer game, several approaches have applied
    Monte Carlo tree search (MCTS) to solve optimization problems in natural sciences
    including materials science. In this paper, we briefly reviewed applications of
    MCTS in materials design and
  description_type: abstract
  lang: en

## Creator

- name: Ju, Shenghong
  role: author
- name: Tsuda, Koji
  role: author
  orcid: https://orcid.org/0000-0002-4288-1606
- name: Shiomi, Junichiro
  role: author
- name: Dieb, Thaer M.
  role: author
  orcid: https://orcid.org/0000-0002-8111-2009

## Contact agent



## Publisher

organization: Cambridge University Press

## Managing organization



## Keyword

- subject: Materials design and discovery
  schema: not_defined

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## Fileset

- id: a5d316cf-6a5e-4805-93ab-4cc287198450
  filename: monte_carlo_tree_search_for_materials_design_and_discovery.pdf
  content_type: application/pdf
  size: 1266404
  md5: f099a627441953046397d11ae5779c48

## Thumbnail

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filename: monte_carlo_tree_search_for_materials_design_and_discovery.pdf