Asst. Prof. Uratani received Best Presentation Award at the 24th annual meeting of theoretical chemistry.
2L09 Hiroki Uratani(Advanced Science and Engineering of Waseda University)
「非局在化した励起状態を扱えるスケーラブルなEhrenfest動力学手法の開発」
Asst. Prof. Uratani received Best Presentation Award at the 24th annual meeting of theoretical chemistry.
2L09 Hiroki Uratani(Advanced Science and Engineering of Waseda University)
「非局在化した励起状態を扱えるスケーラブルなEhrenfest動力学手法の開発」
Uika KOSHIMIZU (B4) received the Graduation Thesis Presentation Award for honoring one.
Tomoya TAKANASHI (M2) received the 2021 Sekine Yoshiro Award for honoring Master’s thesis.
Kazuki KOBAYASHI (B4) received the Toka Association Award.
Toshiki MORIOKA (B4) received the Graduation Thesis Presentation Award for honoring one.
Hiroki URATANI(D3)received PhD Degree Award in 2020.
<PhD Degree Award>
Hiroki URATANI 「Quantum Chemical Approaches to Nonadiabatic Dynamics in Complicated Systems: Nonradiative Relaxation of Excited Molecules and Carrier Behaviors in Halide Perovskites」
Chinami TAKASHIMA (M2) received the Sekine Yoshiro Award for honoring Master’s thesis.
Hiroki Uratani (D2) received the Poster Award at the ISTCP-X Conference.
Poster: P1-48
Author: Hiroki Uratani
Title: Divide-and-conquer DFTB-MD simulations of polaron formation process in a lead halide perovskite material
Paper on Machine Learning of Quantum Chemical Reaction Prediction was selected as BCSJ Selected Paper.
“Quantum chemical reaction prediction method based on machine learning”
Mikito Fujinami, Junji Seino, and Hiromi Nakai, Bull. Chem. Soc. Jpn., 93, 685-693 (2020). (Selected Paper)
“DCDFTBMD” and “RAQET” (Software News and Updates) papers has been recognized as 2018-2019 top download papers.
“RAQET: Large‐Scale Two‐Component Relativistic Quantum Chemistry Program Package”
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Congratulations — your work was one of the top downloaded in recent publication history!
Dear Author,
We are excited to share that your research, published in Journal of Computational Chemistry, is among the top 10% most downloaded papers!
Dcdftbmd: Divide‐and‐Conquer Density Functional Tight‐Binding Program for Huge‐System Quantum Mechanical Molecular Dynamics Simulations
RAQET: Large‐scale two‐component relativistic quantum chemistry program package
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Among work published between January 2018 and December 2019, yours received some of the most downloads in the 12 months following online publication.
Your research generated immediate impact and helped to raise the visibility of Journal of Computational Chemistry.
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Journal of Computational Chemistry