首页|Harbin Institute of Technology Researcher Yields New Data on Machine Learning (A ccelerated First-Principles Calculations Based on Machine Learning for Interfaci al Modification Element Screening of SiCp/Al Composites)
Harbin Institute of Technology Researcher Yields New Data on Machine Learning (A ccelerated First-Principles Calculations Based on Machine Learning for Interfaci al Modification Element Screening of SiCp/Al Composites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting out of Harbin, People's Republic of China, by NewsRx editors, research stated, "SiCp/Al composites offer the advantages of lightweight construction, high strength, and corrosion resist ance, rendering them extensively applicable across various domains such as aeros pace and precision instrumentation." Funders for this research include National Key R&D Program of China . The news correspondents obtained a quote from the research from Harbin Institute of Technology: "Nonetheless, the interfacial reaction between SiC and Al under high temperatures leads to degradation in material properties. In this study, th e interface segregation energy and interface binding energy subsequent to the in clusion of alloying elements were computed through a first-principle methodology , serving as a dataset for machine learning. Feature descriptors for machine lea rning undergo refinement via feature engineering. Leveraging the theory of machi ne-learning-accelerated first-principle computation, six machine learning models -RBF, SVM, BPNN, ENS, ANN, and RF-were developed to train the dataset, with the ANN model selected based on R2 and MSE metrics. Through this model, the accelera ted computation of interface segregation energy and interface binding energy was achieved for 89 elements. The results indicate that elements including B, Si, F e, Co, Ni, Cu, Zn, Ga, and Ge exhibit dual functionality, inhibiting interfacial reactions while bolstering interfacial binding."
Harbin Institute of TechnologyHarbinPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng
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