Using of Machine Learning Capabilities to Predict Double Phosphate Structures for Biomedical Applications

In the rapidly developing field of biomedical research, the search for new materials with improved properties is crucial to moving the entire field forward. Double phosphates have generated significant interest in a wide range of applications, ranging from drug delivery systems to catalysts for biom...

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Veröffentlicht in:	Surface investigation, x-ray, synchrotron and neutron techniques x-ray, synchrotron and neutron techniques, 2024-06, Vol.18 (3), p.633-640
Hauptverfasser:	Kolomenskaya, E. R., Butova, V. V., Rusalev, Yu. V., Protsenko, B. O., Soldatov, A. V., Butakova, M. A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical engineering Biomedical materials Chemistry and Materials Science Drug delivery systems Machine learning Materials Science Phosphates Physical properties Solid phase synthesis Surfaces and Interfaces Thin Films Tissue engineering
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