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The Journal of Chemical Physics
|
June 27, 2025
Specific heat anomalies and local symmetry breaking in (anti-)fluorite materials: A machine learning molecular dynamics study
Keita Kobayashi, Hiroki Nakamura, Masahiko Okumura, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
December 5, 2012
Observation of a pressure-induced As-As hybridization associated with a change in the electronic state of Fe in the tetragonal phase of EuFe2As2
Hisao Kobayashi, Shugo Ikeda, Yui Sakaguchi, et al.
The Journal of Physical Chemistry. B
|
January 25, 2019
Understanding Competition of Polyalcohol Dehydration Reactions in Hot Water
Yong Lik Chang, Takehiko Sasaki, Jordi Ribas-Ariño, et al.
The Science of the Total Environment
|
November 3, 2021
A modeling approach to estimate <sup>3</sup>H discharge from rivers: Comparison of discharge from the Fukushima Dai-ichi and inventory in seawater in the Fukushima coastal region
Kazuyuki Sakuma, Masahiko Machida, Hiroshi Kurikami, et al.
Radiation Protection Dosimetry
|
July 24, 2025
Development of a prediction model for ambient dose equivalent rate distribution based on ecological half-life profiles using LASSO regression and KURAMA data
Yoshiaki Shikaze, Kimiaki Saito, Naoki Tanimura, et al.
Journal of Colloid and Interface Science
|
December 9, 2016
Molecular dynamics simulations of cesium adsorption on illite nanoparticles
Laura N Lammers, Ian C Bourg, Masahiko Okumura, et al.
Journal of Environmental Radioactivity
|
September 27, 2015
Evaluation of ambient dose equivalent rates influenced by vertical and horizontal distribution of radioactive cesium in soil in Fukushima Prefecture
Alex Malins, Hiroshi Kurikami, Shigeo Nakama, et al.
Marine Pollution Bulletin
|
June 7, 2023
Simulation study on
Kazuyuki Sakuma, Susumu Yamada, Masahiko Machida, et al.
Scientific Reports
|
June 13, 2022
Machine learning molecular dynamics simulations toward exploration of high-temperature properties of nuclear fuel materials: case study of thorium dioxide
Keita Kobayashi, Masahiko Okumura, Hiroki Nakamura, et al.
Scientific Reports
|
November 17, 2023
Machine learning molecular dynamics reveals the structural origin of the first sharp diffraction peak in high-density silica glasses
Keita Kobayashi, Masahiko Okumura, Hiroki Nakamura, et al.
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of 3
Search research articles
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Showing results (11-20 of 29) with videos related to
Sort By:
Page
of 3
The Journal of Chemical Physics
|
June 27, 2025
Specific heat anomalies and local symmetry breaking in (anti-)fluorite materials: A machine learning molecular dynamics study
Keita Kobayashi, Hiroki Nakamura, Masahiko Okumura, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
December 5, 2012
Observation of a pressure-induced As-As hybridization associated with a change in the electronic state of Fe in the tetragonal phase of EuFe2As2
Hisao Kobayashi, Shugo Ikeda, Yui Sakaguchi, et al.
The Journal of Physical Chemistry. B
|
January 25, 2019
Understanding Competition of Polyalcohol Dehydration Reactions in Hot Water
Yong Lik Chang, Takehiko Sasaki, Jordi Ribas-Ariño, et al.
The Science of the Total Environment
|
November 3, 2021
A modeling approach to estimate <sup>3</sup>H discharge from rivers: Comparison of discharge from the Fukushima Dai-ichi and inventory in seawater in the Fukushima coastal region
Kazuyuki Sakuma, Masahiko Machida, Hiroshi Kurikami, et al.
Radiation Protection Dosimetry
|
July 24, 2025
Development of a prediction model for ambient dose equivalent rate distribution based on ecological half-life profiles using LASSO regression and KURAMA data
Yoshiaki Shikaze, Kimiaki Saito, Naoki Tanimura, et al.
Journal of Colloid and Interface Science
|
December 9, 2016
Molecular dynamics simulations of cesium adsorption on illite nanoparticles
Laura N Lammers, Ian C Bourg, Masahiko Okumura, et al.
Journal of Environmental Radioactivity
|
September 27, 2015
Evaluation of ambient dose equivalent rates influenced by vertical and horizontal distribution of radioactive cesium in soil in Fukushima Prefecture
Alex Malins, Hiroshi Kurikami, Shigeo Nakama, et al.
Marine Pollution Bulletin
|
June 7, 2023
Simulation study on
Kazuyuki Sakuma, Susumu Yamada, Masahiko Machida, et al.
Scientific Reports
|
June 13, 2022
Machine learning molecular dynamics simulations toward exploration of high-temperature properties of nuclear fuel materials: case study of thorium dioxide
Keita Kobayashi, Masahiko Okumura, Hiroki Nakamura, et al.
Scientific Reports
|
November 17, 2023
Machine learning molecular dynamics reveals the structural origin of the first sharp diffraction peak in high-density silica glasses
Keita Kobayashi, Masahiko Okumura, Hiroki Nakamura, et al.
Page
of 3