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Article
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AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Remediation
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In Silico Models for Predicting Adsorption of Organic Pollutants on Microplastics by Combining Grand Canonical Monte Carlo/Density Functional Theory and Quantitative Structure Activity Relationship Approach
SSRN Electronic Journal
2025
Score: 38
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ya Wang,
Peng Zhao,
Ya Wang,
Ya Wang,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Peng Zhao,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Honghong Yi,
Chao Li
Chao Li
Chao Li
Chao Li
Honghong Yi,
Honghong Yi,
Chao Li
Chao Li
Xiaolong Tang,
Xiaolong Tang,
Xiaolong Tang,
Peng Zhao,
Xiaolong Tang,
Xiaolong Tang,
Chao Li
Peng Zhao,
Peng Zhao,
Peng Zhao,
Xiaolong Tang,
Peng Zhao,
Peng Zhao,
Chao Li
Peng Zhao,
Zhongfang Chen,
Chao Li
Peng Zhao,
Peng Zhao,
Peng Zhao,
Peng Zhao,
Zhongfang Chen,
Zhongfang Chen,
Zhongfang Chen,
Peng Zhao,
Peng Zhao,
Chao Li
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