FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308178041> ?p ?o ?g. }

• W4308178041 endingPage "2210374" @default.
• W4308178041 startingPage "2210374" @default.
• W4308178041 abstract "The present work is designed to discover new perovskite-based materials, which are expected to show high mechanical stability during their applications, using machine learning (ML) techniques, and based on the Pugh's criterion for distinguishing brittle and ductile behaviors. For this purpose, ML models to predict the moduli of materials, bulk (B) and shear (G), are built using their crystal structure and composition information. The ML process is initiated with the information of 5663 compounds, including composition, crystal structure and moduli, as listed in AFLOW database. Following a procedure of data characteristics, feature generation, feature processing, training, and testing, the ML models are constructed with acceptable accuracy (tenfold cross-validation R2 score of 0.90 and 0.89 for B and G, respectively). The validation process of the models, which is conducted using the corresponding density functional theory calculations, reveals that these models are reliable to be employed in a large-scale screening process. Indeed, the B- and G-based ML models are incorporated in a screening process, and this is also conjugated with other screening criterions, to find out thermodynamically stable and formable perovskite-based materials with improved mechanical performance." @default.
• W4308178041 created "2022-11-08" @default.
• W4308178041 creator A5017583868 @default.
• W4308178041 creator A5031495778 @default.
• W4308178041 creator A5054520248 @default.
• W4308178041 creator A5077426281 @default.
• W4308178041 creator A5081645104 @default.
• W4308178041 date "2022-11-04" @default.
• W4308178041 modified "2023-09-29" @default.
• W4308178041 title "A Machine Learning‐Assisted Approach to a Rapid and Reliable Screening for Mechanically Stable Perovskite‐Based Materials" @default.
• W4308178041 cites W1927627425 @default.
• W4308178041 cites W1964841621 @default.
• W4308178041 cites W1970127494 @default.
• W4308178041 cites W1979544533 @default.
• W4308178041 cites W1980990112 @default.
• W4308178041 cites W1981368803 @default.
• W4308178041 cites W1991278167 @default.
• W4308178041 cites W1992985800 @default.
• W4308178041 cites W2007395042 @default.
• W4308178041 cites W2024369059 @default.
• W4308178041 cites W2040828793 @default.
• W4308178041 cites W2063838626 @default.
• W4308178041 cites W2073531811 @default.
• W4308178041 cites W2078673322 @default.
• W4308178041 cites W2083222334 @default.
• W4308178041 cites W2088497856 @default.
• W4308178041 cites W2120145199 @default.
• W4308178041 cites W2134329894 @default.
• W4308178041 cites W2159357141 @default.
• W4308178041 cites W2161136893 @default.
• W4308178041 cites W2313966941 @default.
• W4308178041 cites W2318875703 @default.
• W4308178041 cites W2464725281 @default.
• W4308178041 cites W2504253333 @default.
• W4308178041 cites W2588404705 @default.
• W4308178041 cites W2727106016 @default.
• W4308178041 cites W2734520197 @default.
• W4308178041 cites W2735819160 @default.
• W4308178041 cites W2767101995 @default.
• W4308178041 cites W2785060548 @default.
• W4308178041 cites W2801443735 @default.
• W4308178041 cites W2808551223 @default.
• W4308178041 cites W2902556766 @default.
• W4308178041 cites W2911964244 @default.
• W4308178041 cites W2919043374 @default.
• W4308178041 cites W2936804385 @default.
• W4308178041 cites W2971782071 @default.
• W4308178041 cites W2976720228 @default.
• W4308178041 cites W2980994352 @default.
• W4308178041 cites W3020855884 @default.
• W4308178041 cites W3038025793 @default.
• W4308178041 cites W3093987488 @default.
• W4308178041 cites W3103566548 @default.
• W4308178041 cites W3129897134 @default.
• W4308178041 cites W3130174494 @default.
• W4308178041 cites W3176645943 @default.
• W4308178041 cites W3214871145 @default.
• W4308178041 cites W3215663900 @default.
• W4308178041 cites W4205553929 @default.
• W4308178041 cites W4224250834 @default.
• W4308178041 doi "https://doi.org/10.1002/adfm.202210374" @default.
• W4308178041 hasPublicationYear "2022" @default.
• W4308178041 type Work @default.
• W4308178041 citedByCount "3" @default.
• W4308178041 countsByYear W43081780412023 @default.
• W4308178041 crossrefType "journal-article" @default.
• W4308178041 hasAuthorship W4308178041A5017583868 @default.
• W4308178041 hasAuthorship W4308178041A5031495778 @default.
• W4308178041 hasAuthorship W4308178041A5054520248 @default.
• W4308178041 hasAuthorship W4308178041A5077426281 @default.
• W4308178041 hasAuthorship W4308178041A5081645104 @default.
• W4308178041 hasConcept C111919701 @default.
• W4308178041 hasConcept C112972136 @default.
• W4308178041 hasConcept C119857082 @default.
• W4308178041 hasConcept C121089165 @default.
• W4308178041 hasConcept C121332964 @default.
• W4308178041 hasConcept C127413603 @default.
• W4308178041 hasConcept C136478896 @default.
• W4308178041 hasConcept C138885662 @default.
• W4308178041 hasConcept C154945302 @default.
• W4308178041 hasConcept C155011858 @default.
• W4308178041 hasConcept C159985019 @default.
• W4308178041 hasConcept C192562407 @default.
• W4308178041 hasConcept C199360897 @default.
• W4308178041 hasConcept C2776401178 @default.
• W4308178041 hasConcept C2781285689 @default.
• W4308178041 hasConcept C41008148 @default.
• W4308178041 hasConcept C41895202 @default.
• W4308178041 hasConcept C42360764 @default.
• W4308178041 hasConcept C62520636 @default.
• W4308178041 hasConcept C96035792 @default.
• W4308178041 hasConcept C98045186 @default.
• W4308178041 hasConceptScore W4308178041C111919701 @default.
• W4308178041 hasConceptScore W4308178041C112972136 @default.
• W4308178041 hasConceptScore W4308178041C119857082 @default.
• W4308178041 hasConceptScore W4308178041C121089165 @default.
• W4308178041 hasConceptScore W4308178041C121332964 @default.
• W4308178041 hasConceptScore W4308178041C127413603 @default.

• next