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      Experimental analysis and machine learning modeling of optical properties of lithium disilicate glass–ceramics comprising lithium tantalate as a secondary phase

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms

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              Scikit‐learn: Machine learning in python

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                Author and article information

                Contributors
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                Journal
                International Journal of Applied Glass Science
                Int J of Appl Glass Sci
                Wiley
                2041-1286
                2041-1294
                October 2022
                March 24 2022
                October 2022
                : 13
                : 4
                : 720-728
                Affiliations
                [1 ]Department of Materials Science and Engineering The Pennsylvania State University University Park Pennsylvania USA
                [2 ]Ivoclar Vivadent AG, Schaan, Principality of Liechtenstein
                Article
                10.1111/ijag.16569
                47146ed8-9a12-49cd-8aee-ca9f62839fa8
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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