FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385607225> ?p ?o ?g. }

• W4385607225 endingPage "145216" @default.
• W4385607225 startingPage "145216" @default.
• W4385607225 abstract "The controllable synthesis of iron oxides particles is a critical issue for materials science, energy storage, biomedical applications, environmental science, and earth science. However, synthesis of iron oxides with desired phase and size are still a time-consuming and trial-and-error process. This study presents solutions for two fundamental challenges in materials synthesis: predicting the outcome of a synthesis from specified reaction parameters and correlating sets of parameters to obtain products with desired outcomes. Four machine learning algorithms, including random forest, logistic regression, support vector machine, and k-nearest neighbor, were trained to predict the phase and particle size of iron oxide based on experimental conditions. Among the models, random forest exhibited the best performance, achieving 96% and 81% accuracy when predicting the phase and size of iron oxides in the test dataset. Premutation feature importance analysis shows that most models (except logistic regression) rely on known features such as precursor concentration, pH, and temperature to predict the phases from synthesis conditions. The robustness of the random forest models was further verified by comparing prediction and experimental results based on 24 randomly generated methods in additive and non-additive systems not included in the datasets. The predictions of product phase and particle size from the models are in good agreement with the experimental results. Additionally, a searching and ranking algorithm was developed to recommend potential synthesis parameters for obtaining iron oxide products with desired phase and particle size from previous studies in the dataset." @default.
• W4385607225 created "2023-08-06" @default.
• W4385607225 creator A5003835027 @default.
• W4385607225 creator A5009435486 @default.
• W4385607225 creator A5013881064 @default.
• W4385607225 creator A5014910525 @default.
• W4385607225 creator A5017081824 @default.
• W4385607225 creator A5020605766 @default.
• W4385607225 creator A5034829219 @default.
• W4385607225 creator A5045850442 @default.
• W4385607225 creator A5046597133 @default.
• W4385607225 creator A5051480539 @default.
• W4385607225 creator A5055609161 @default.
• W4385607225 creator A5064306736 @default.
• W4385607225 creator A5077875084 @default.
• W4385607225 creator A5085583877 @default.
• W4385607225 creator A5088380075 @default.
• W4385607225 creator A5091912593 @default.
• W4385607225 date "2023-10-01" @default.
• W4385607225 modified "2023-10-14" @default.
• W4385607225 title "Machine learning assisted phase and size-controlled synthesis of iron oxide particles" @default.
• W4385607225 cites W1968566387 @default.
• W4385607225 cites W1970899956 @default.
• W4385607225 cites W1976555219 @default.
• W4385607225 cites W1999194691 @default.
• W4385607225 cites W2011301426 @default.
• W4385607225 cites W2013720177 @default.
• W4385607225 cites W2025606037 @default.
• W4385607225 cites W2029676994 @default.
• W4385607225 cites W2038468988 @default.
• W4385607225 cites W2051473676 @default.
• W4385607225 cites W2057697660 @default.
• W4385607225 cites W2083375473 @default.
• W4385607225 cites W2083462236 @default.
• W4385607225 cites W2087301986 @default.
• W4385607225 cites W2101995282 @default.
• W4385607225 cites W2160331326 @default.
• W4385607225 cites W2174088175 @default.
• W4385607225 cites W2343106452 @default.
• W4385607225 cites W2344592845 @default.
• W4385607225 cites W2513417361 @default.
• W4385607225 cites W2523871742 @default.
• W4385607225 cites W2604207034 @default.
• W4385607225 cites W2740600095 @default.
• W4385607225 cites W2745591971 @default.
• W4385607225 cites W2746371905 @default.
• W4385607225 cites W2771733300 @default.
• W4385607225 cites W2883275303 @default.
• W4385607225 cites W2884430236 @default.
• W4385607225 cites W2919115771 @default.
• W4385607225 cites W2925880907 @default.
• W4385607225 cites W2944906172 @default.
• W4385607225 cites W2950405956 @default.
• W4385607225 cites W2967385275 @default.
• W4385607225 cites W2968923792 @default.
• W4385607225 cites W2980932864 @default.
• W4385607225 cites W2991070426 @default.
• W4385607225 cites W2997208716 @default.
• W4385607225 cites W2997827367 @default.
• W4385607225 cites W3014898291 @default.
• W4385607225 cites W3082234867 @default.
• W4385607225 cites W3082712976 @default.
• W4385607225 cites W3089256683 @default.
• W4385607225 cites W3095968279 @default.
• W4385607225 cites W3099859964 @default.
• W4385607225 cites W3099878876 @default.
• W4385607225 cites W3114634042 @default.
• W4385607225 cites W3127425306 @default.
• W4385607225 cites W3150635270 @default.
• W4385607225 cites W3164879321 @default.
• W4385607225 cites W3180477523 @default.
• W4385607225 cites W3192992351 @default.
• W4385607225 cites W3205310664 @default.
• W4385607225 cites W4224243085 @default.
• W4385607225 cites W4239510810 @default.
• W4385607225 cites W4295009553 @default.
• W4385607225 cites W4312212133 @default.
• W4385607225 cites W4367678904 @default.
• W4385607225 doi "https://doi.org/10.1016/j.cej.2023.145216" @default.
• W4385607225 hasPublicationYear "2023" @default.
• W4385607225 type Work @default.
• W4385607225 citedByCount "0" @default.
• W4385607225 crossrefType "journal-article" @default.
• W4385607225 hasAuthorship W4385607225A5003835027 @default.
• W4385607225 hasAuthorship W4385607225A5009435486 @default.
• W4385607225 hasAuthorship W4385607225A5013881064 @default.
• W4385607225 hasAuthorship W4385607225A5014910525 @default.
• W4385607225 hasAuthorship W4385607225A5017081824 @default.
• W4385607225 hasAuthorship W4385607225A5020605766 @default.
• W4385607225 hasAuthorship W4385607225A5034829219 @default.
• W4385607225 hasAuthorship W4385607225A5045850442 @default.
• W4385607225 hasAuthorship W4385607225A5046597133 @default.
• W4385607225 hasAuthorship W4385607225A5051480539 @default.
• W4385607225 hasAuthorship W4385607225A5055609161 @default.
• W4385607225 hasAuthorship W4385607225A5064306736 @default.
• W4385607225 hasAuthorship W4385607225A5077875084 @default.
• W4385607225 hasAuthorship W4385607225A5085583877 @default.
• W4385607225 hasAuthorship W4385607225A5088380075 @default.

• next