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Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques
The ultimate goal of the Texas A&M Superfund program is to develop comprehensive tools and models for addressing exposure to chemical mixtures during environmental emergency-related contamination events. With that goal, we aim to design a framework for optimal grouping of chemical mixtures based...
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| Pubblicato in: | ESCAPE |
|---|---|
| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6284807/ https://ncbi.nlm.nih.gov/pubmed/30534632 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/B978-0-444-64235-6.50076-0 |
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