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Research Organization for Information Science and Technology

Japan

29 papers here1.8k citations across 29
fields
  • nucl-th12
  • cond-mat.mtrl-sci5
  • astro-ph.HE3
  • cond-mat.supr-con3
  • cond-mat.mes-hall1
  • cond-mat.stat-mech1
  • cond-mat.str-el1
  • physics.chem-ph1
ROR 00az65y50OpenAlex

affiliations via OpenAlex

output
19952023
most citedAnalysis of the (N,xN') reactions by quantum molecular dynamics plus statistical decay model

372 citations

researchers with a paper here
  • T. Maruyama3 profiles16 · h 38
  • A. Iwamoto2 profiles7 · h 21
  • Koji Niita7 · h 6
  • S. Chiba2 profiles7 · h 37
  • K. Niita5 · h 35
  • H. Sawai3 · h 10
  • S. Yamada3 · h 47
  • Y. Nagai3 · h 19
  • A. Ohnishi2 · h 34
  • D. Physics2 · h 101
  • H. Matsuo2 · h 5
  • H. Takada2 · h 17
collaborating institutions
  • Advanced Science Research CenterJP11 papers
  • Japan Atomic Energy AgencyJP7 papers
  • The University of TokyoJP5 papers
  • Kyoto UniversityJP4 papers
  • Waseda UniversityJP3 papers
  • Brookhaven National LaboratoryUS2 papers
  • Fudan UniversityCN2 papers
  • Hokkaido UniversityJP2 papers
  • Massachusetts Institute of TechnologyUS2 papers
  • Tohoku UniversityJP2 papers
  • University of HyogoJP2 papers
  • University of SaskatchewanCA2 papers
Showing 2019Show all

1 paper · 1 filter

cond-mat.mtrl-sci2019★ 40 cited

Self-learning Hybrid Monte Carlo: A First-principles Approach

Yuki Nagai, Masahiro Okumura, Keita Kobayashi +1

We propose a novel approach called Self-Learning Hybrid Monte Carlo (SLHMC) which is a general method to make use of machine learning potentials to accelerate the statistical sampl…

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