A. Furuhama

Reactions associated with ionization in water: A direct <i>ab initio</i> dynamics study of ionization in (H2O)17

A. Furuhama, Michel Dupuis, Kimihiko Hirao · The Journal of Chemical Physics · 2006 · 47 citations

Engineering, Proton-coupled Electron Transfer, Computational Chemistry +18

Development of an ecotoxicity QSAR model for the KAshinhou Tool for Ecotoxicity (KATE) system, March 2009 version

A. Furuhama, Takashi Toida, Nozomu Nishikawa et al. · SAR and QSAR in environmental research · 2010 · 40 citations · Full text

Interspecies quantitative structure–activity–activity relationships (QSAARs) for prediction of acute aquatic toxicity of aromatic amines and phenols

A. Furuhama, K. Hasunuma, Yasunobu Aoki · SAR and QSAR in environmental research · 2015 · 38 citations

Ecotoxicity, Acute Aquatic Toxicity, Engineering +20

Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective

Shraddha Thakkar, William Slikker, Frank Yiannas et al. · Regulatory Toxicology and Pharmacology · 2023 · 37 citations · Full text

Artificial Intelligence, New Technologies, Engineering +22

Generating accurate in silico predictions of acute aquatic toxicity for a range of organic chemicals: Towards similarity-based machine learning methods

Agnieszka Gajewicz, A. Furuhama, Hiroshi Yamamoto et al. · Chemosphere · 2021 · 31 citations · Full text

Acute Aquatic Toxicity, Engineering, Machine Learning +26