Machine-Learning Studies of Hydrogen Effects on Stacking Fault Energies in an Fe_0.70Ni_0.11Cr_0.19 Austenitic Stainless Steels

May 11, 2022
11:00am - 11:15am

Hawai'i Convention Center, Level 3, Lili'U Theater, 310

Chris Nowak

Ryan Sills

Xiaowang Zhou¹,Chris Nowak¹,Michael Foster¹,Ryan Sills²,Joseph Allen Ronevich¹,Chris San Marchi¹

Sandia National Laboratories¹,Rutgers University²

defects | embrittlement | metal

Mathieu Bauchy, University of California, Los Angeles

Mathew Cherukara, Argonne National Laboratory

Grace Gu, University of California, Berkeley

Badri Narayanan, University of Louisville

Mathieu Bauchy

Valeria Molinero

Machine-Learning Studies of Hydrogen Effects on Stacking Fault Energies in an Fe0.70Ni0.11Cr0.19 Austenitic Stainless Steels