Role of Artificial Intelligence and Machine Learning in Nanosafety von Winkler, David A.

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Discovery and Optimization of Materials Using Evolutionary Approaches von Le, Tu C, Winkler, David A

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Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery von Mai, Haoxin, Le, Tu C., Chen, Dehong, Winkler, David A., Caruso, Rachel A.

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Understanding the Roles of the “Two QSARs” von Fujita, Toshio, Winkler, David A

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Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials von Winkler, David A.

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Aquatic insects rich in omega‐3 fatty acids drive breeding success in a widespread bird von Twining, Cornelia Wingfield, Shipley, Jeremy Ryan, Winkler, David W., Jeyasingh, Punidan

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Ligand Entropy Is Hard but Should Not Be Ignored von Winkler, David A

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Predicting the Performance of Organic Corrosion Inhibitors von Winkler, David

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QSAR without borders von Muratov, Eugene N, Bajorath, Jürgen, Sheridan, Robert P, Tetko, Igor V, Filimonov, Dmitry, Poroikov, Vladimir, Oprea, Tudor I, Baskin, Igor I, Varnek, Alexandre, Roitberg, Adrian, Isayev, Olexandr, Curtalolo, Stefano, Fourches, Denis, Cohen, Yoram, Aspuru-Guzik, Alan, Winkler, David A, Agrafiotis, Dimitris, Cherkasov, Artem, Tropsha, Alexander

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In silico comparison of SARS-CoV-2 spike protein-ACE2 binding affinities across species and implications for virus origin von Piplani, Sakshi, Singh, Puneet Kumar, Winkler, David A., Petrovsky, Nikolai

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Beware of R(2): Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models von Alexander, D L J, Tropsha, A, Winkler, David A

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Beware of R 2: Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models von Alexander, D. L. J, Tropsha, A, Winkler, David A

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Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation von Yan, Xiliang, Yue, Tongtao, Winkler, David A., Yin, Yongguang, Zhu, Hao, Jiang, Guibin, Yan, Bing

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Computational Modeling and Simulation of CO2 Capture by Aqueous Amines von Yang, Xin, Rees, Robert J, Conway, William, Puxty, Graeme, Yang, Qi, Winkler, David A

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Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties von Le, Tu, Epa, V. Chandana, Burden, Frank R, Winkler, David A

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Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases von Winkler, David A

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Antifibrotic strategies for medical devices von Welch, Nicholas G., Winkler, David A., Thissen, Helmut

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Computational repurposing of drugs for viral diseases and current and future pandemics von Winkler, David A.

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Systematic Comparison of the Structural and Dynamic Properties of Commonly Used Water Models for Molecular Dynamics Simulations von Kadaoluwa Pathirannahalage, Sachini P, Meftahi, Nastaran, Elbourne, Aaron, Weiss, Alessia C. G, McConville, Chris F, Padua, Agilio, Winkler, David A, Costa Gomes, Margarida, Greaves, Tamar L, Le, Tu C, Besford, Quinn A, Christofferson, Andrew J

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Brain homogenates from human tauopathies induce tau inclusions in mouse brain von Clavaguera, Florence, Akatsu, Hiroyasu, Fraser, Graham, Crowther, R. Anthony, Frank, Stephan, Hench, Jürgen, Probst, Alphonse, Winkler, David T., Reichwald, Julia, Staufenbiel, Matthias, Ghetti, Bernardino, Goedert, Michel, Tolnay, Markus

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