Volume 3, Issue 4 (2023) – 6 articles
Cover Picture: The figure presents a conceptual visualization of a method briefly reviewed in the accompanying paper, which employs machine learning in the global search for interface structure (ML-interface). The figure represents the complex atomic structures located at the solid-solid interfaces. These interfaces are crucial for understanding the physical properties of materials but are challenging to analyze through traditional experimental and theoretical methods. With the global optimization algorithms and machine learning potentials, researchers can now explore these complex interfacial structures effectively. The figure illustrates the integration of machine learning and science, which shed a light on the interface structures of materials.
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