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Updated: Feb 28, 2026

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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
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Medium-Range Structural Order in Amorphous Arsenic
Yuanbin Liu1, Yuxing Zhou1, Richard Ademuwagun1
1Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, U.K.
Journal of the American Chemical Society
|February 26, 2026
Summary
Researchers revealed medium-range order (MRO) in amorphous arsenic (a-As) using machine-learned atomistic simulations. The study clarifies MRO
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Chemistry
Background:
- Medium-range order (MRO) is crucial in amorphous materials but poorly understood.
- Understanding MRO in amorphous elemental systems like arsenic (a-As) is essential.
Purpose of the Study:
- To elucidate the origin and nature of MRO in amorphous arsenic (a-As).
- To compare the structural characteristics of a-As with amorphous phosphorus (a-P).
- To investigate the pressure-dependent structural behavior of a-As and a-P.
Main Methods:
- Advanced atomistic simulations utilizing machine-learned potentials.
- Automated workflows for deriving machine-learned potentials.
- Comparison of simulated structure factor with experimental data for a-As.
Main Results:
- Simulations accurately reproduce the experimental structure factor of a-As, including the first sharp diffraction peak (FSDP).
- Amorphous arsenic exhibits a more uniform dihedral-angle distribution than amorphous phosphorus, consistent with a continuous random network.
- The FSDP in a-As is linked to void size and distribution within the amorphous network.
Conclusions:
- The study provides fundamental insights into MRO in amorphous arsenic.
- The findings highlight the utility of automated machine-learning for atomistic simulations.
- Amorphous arsenic's structure is best described as a 3-fold coordinated continuous random network.
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