dc.contributor.advisor |
Ranganathan, Raghavan |
|
dc.contributor.author |
Longakshi, Bhumika |
|
dc.date.accessioned |
2021-10-27T14:12:44Z |
|
dc.date.available |
2021-10-27T14:12:44Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Longakshi, Bhumika (2021). Development of high throughput machine learning interatomic potential for high entropy alloys. Gandhinagar: Indian Institute of Technology Gandhinagar, 101p. (Acc. No.: T00925). |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/7216 |
|
dc.description.statementofresponsibility |
by Bhumika Longakshi |
|
dc.format.extent |
xvii, 101p.: ill.; hbk.; 30 cm. |
|
dc.language.iso |
en_US |
|
dc.publisher |
Indian Institute of Technology Gandhinagar |
|
dc.subject |
19210122 |
|
dc.subject |
HEA |
|
dc.subject |
Moment Tensor Potential |
|
dc.subject |
Active Learning |
|
dc.subject |
LAMMPS |
|
dc.subject |
Quantum Espresso |
|
dc.subject |
Property Prediction |
|
dc.title |
Development of high throughput machine learning interatomic potential for high entropy alloys |
|
dc.type |
Thesis |
|
dc.contributor.department |
Material Science and Engineering |
|
dc.description.degree |
M.Tech |
|