Bayesian Approach to Assimilate High-speed Atomic Force Microscopy Data with Molecular Simulations
نویسندگان
چکیده
データ同化では，ベイズ統計学に基づいて観測データとシミュレーションを融合させることで，観測対象の詳細を推定することができる．このデータ同化手法の1つである粒子フィルタを高速原子間力顕微鏡データと分子シミュレーションに適用するためのプロトコルを開発し，観測不可能な特性が推定できるかどうかを検証した．
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ژورنال
عنوان ژورنال: Seibutsu Butsuri
سال: 2022
ISSN: ['0582-4052', '1347-4219']
DOI: https://doi.org/10.2142/biophys.62.235