Optimization and validation of a deep learning CuZr atomistic potential: Robust applications for crystalline and amorphous phases with near-DFT accuracy
Author:
Affiliation:
1. Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15216, USA
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0005347
Reference82 articles.
1. Thermal stability of B2 CuZr phase, microstructural evolution and martensitic transformation in Cu–Zr–Ti alloys
2. High tensile plasticity and strength of a CuZr-based bulk metallic glass composite
3. Microstructural Evolution and Mechanical Behaviour of Metastable Cu–Zr–Co Alloys
4. Correlation between the microstructures and the deformation mechanisms of CuZr-based bulk metallic glass composites
5. The Microstructural Evolution and Mechanical Properties of Zr-Based Metallic Glass under Different Strain Rate Compressions
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