A general formula with high generalization and accurate prediction power is highly desirable for science, technology and engineering. In addition to human beings, artificial intelligence algorithms show great promise for the discovery of formulas. In this study, we propose a domain knowledge-guided interpretive machine learning strategy and demonstrate it by studying the oxidation behavior of ferritic-martensitic steels in supercritical water. The oxidation Cr equivalent is, for the first time, proposed in the present work to represent all contributions of alloying elements to oxidation, derived by our domain knowledge and interpretive machine learning algorithms. An open-source tree classifier for linear regression algorithm is also, for t...
A novel approach has been developed for quantitative evaluation of the susceptibility of steels and ...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
The reliability of turbine engines depends significantly on the environment experienced during fligh...
A general formula with high generalization and accurate prediction power is highly desirable for sci...
Abstract Parabolic rate constants, k p , were collected from published reports and calculated from c...
The parabolic growth rate constant (kp) of high-temperature oxidation of steels is predicted via a d...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
As an irreplaceable structural and functional material in strategic equipment, uranium and uranium a...
The study presents a Machine Learning (ML)-based framework designed to forecast the stress-strain re...
With the development of the materials genome philosophy and data mining methodologies, machine learn...
Climate change due to human activities has caused a global desire to lower CO2 emissions in the hope...
The empirical modeling methods are widely used in corrosion behavior analysis. But due to the limite...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
A novel approach has been developed for quantitative evaluation of the susceptibility of steels and ...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
The reliability of turbine engines depends significantly on the environment experienced during fligh...
A general formula with high generalization and accurate prediction power is highly desirable for sci...
Abstract Parabolic rate constants, k p , were collected from published reports and calculated from c...
The parabolic growth rate constant (kp) of high-temperature oxidation of steels is predicted via a d...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
The dependencies of weight gain of 9-12 Cr ferritic-martensitic steels in supercritical water on eac...
As an irreplaceable structural and functional material in strategic equipment, uranium and uranium a...
The study presents a Machine Learning (ML)-based framework designed to forecast the stress-strain re...
With the development of the materials genome philosophy and data mining methodologies, machine learn...
Climate change due to human activities has caused a global desire to lower CO2 emissions in the hope...
The empirical modeling methods are widely used in corrosion behavior analysis. But due to the limite...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
A novel approach has been developed for quantitative evaluation of the susceptibility of steels and ...
The possibility to estimate the Jominy profile of steel based on its chemical composition is of utmo...
The reliability of turbine engines depends significantly on the environment experienced during fligh...