Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Manjunadh Kandavalli"'
Autor:
Manjunadh Kandavalli, Abhishek Agarwal, Ansh Poonia, Modalavalasa Kishor, Kameswari Prasada Rao Ayyagari
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract In this work, the authors have demonstrated the use of machine learning (ML) models in the prediction of bulk modulus for High Entropy Alloys (HEA). For the first time, ML has been used for optimizing the composition of HEA to achieve enhanc
Externí odkaz:
https://doaj.org/article/3dff5808c22e46f583c7ee8fef69b2af
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:610-626
Bulk metallic glass has been a fascinating class of metallic systems with remarkable corrosion resistance, elastic modulus, and wear resistance, while evaluating the glass forming ability has been a very interesting aspect for decades. Machine learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b39db15cb8f6061b08c1ef9b3375e54
https://doi.org/10.1007/s40192-021-00239-y
https://doi.org/10.1007/s40192-021-00239-y