Cheminformatic Modeling Data Gap (8 results)

Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2026
- Softcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Softcover
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Presents multiple algorithms for QSPR models and machine learning methods for modeling environmental endpointsDiscusses crucial emerging topics in sustainable chemistry, such as mixture property modeling, microplastic toxicity modeling, and.

Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2026
- Softcover
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Paperback. Condition: new. Paperback. Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Cheminformatic Modeling and Data Gap Filling for a Green and Sustainable Environment (Advances in Green and Sustainable Chemistry)
Roy PhD FRSC, Kunal (Editor)/ Banerjee MRSC, Arkaprava (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 350 pages. 5.81x2.11x9.01 inches. In Stock.

- Softcover
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment covers the theory and practices of chemical informatics, focusing on modeling various properties and endpoints related to chemicals for improved chemical management and the design of safer chemicals to promote environmental sustainability. Across four sections, the book outlines modeling techniques such as quantitative structure-property relationship (QSPR), read-across, and machine learning for modeling environmental endpoints of chemicals. OECD guidelines are discussed and considered for model development and validation, documentation using the QSAR modeling reporting format (QMRF), and regulatory requirements for result presentation.The book offers full datasets, algorithm information, and real-world case studies for all models, along with worked examples. It will serve as an essential resource for chemists and environmental scientists working in green and sustainable chemistry, but will be a great resource for students and academics at graduate level and above studying cheminformatics. This book will also be of interest to researchers developing new and sustainable chemicals and for decision-makers looking to make industrial processes more sustainable.…

Language: English
Published by Elsevier - Health Sciences Division, Philadelphia, 2026
- Softcover
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Paperback. Condition: new. Paperback. Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.