📖
Predicting the adsorption of organic pollutants on boron nitride nanosheets via in silico techniques: DFT computations and QSAR modeling
Ya Wang, Weihao Tang, Yue Peng, Zhongfang Chen, Jingwen Chen, Zijun Xiao, Xiaoguang Zhao, Yakun Qu, Junhua Li

Predicting the adsorption of organic pollutants on boron nitride nanosheets via in silico techniques: DFT computations and QSAR modeling

Aerospace & Aviation Published 2026 Verification Pending
Advertisement
SPONSOR CONTENT
Indexed from repository: NASA Technical Reports Server (ntrs.nasa.gov)

Document Information

Document Title Predicting the adsorption of organic pollutants on boron nitride nanosheets via in silico techniques: DFT computations and QSAR modeling
Author / Organization Ya Wang, Weihao Tang, Yue Peng, Zhongfang Chen, Jingwen Chen, Zijun Xiao, Xiaoguang Zhao, Yakun Qu, Junhua Li
Subject & Discipline ACCEPTED_MANUSCRIPT
Categories Aerospace & Aviation
Publication Year 2026
License / Rights Public Domain / NASA STI Open Access
Resource Verification Listed PDF (Verification Pending)
Original Host Website NASA Technical Reports Server (ntrs.nasa.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-40307
Original Source Link Visit Source Page on ntrs.nasa.gov »