18 citations · 40 across the 26 of their papers we have counts for
7 papers · 1 filter
Coordination-Sensitive Nanoscale Analysis of Defect-Driven Phase Transformation in Si-Doped (AlXGa1-X)2O3
Shaon Das, Jith Sarker, Christopher Chae +5
Defect-driven phase instability critically influences the structural reliability of ultrawide bandgap oxides, yet direct nanoscale metrics linking local chemistry to structural tra…
Physics-informed time-series forecasting of perovskite photoluminescence stability
Alexander Wieczorek, Manuel Kober-Czerny, Fábio Lopes +5
Accelerated ageing using elevated temperatures and illumination is one of the most common methods to rapidly study the stability of novel semiconductor materials. However, as the p…
High-Throughput Exploration of Refractory High-Entropy Alloys for Strength and Plasticity
Stephen A. Giles, Hugh Shortt, Peter K. Liaw +1
Refractory high-entropy alloys (RHEAs) are compositionally complex materials which have been demonstrated to have the potential for exceptional strength at high operating temperatu…
Observation of Anomalous Hall Effect in Bulk Single Crystals of n-type Cr-doped SbTe Magnetic Topological Insulator
Ali Sarikhani, Mathew Pollard, Jacob Cook +7
The exploration of topological Dirac surface states is significant in the realms of condensed matter physics and future technological innovations. Among the materials garnering att…
Understanding and Controlling V-Doping and S-Vacancy Behavior in Two-Dimensional Semiconductors- Toward Predictive Design
Shreya Mathela, Zhuohang Yu, Zachary D. Ward +11
Doping in transition metal dichalcogenide (TMD) monolayers provides a powerful method to precisely tailor their electronic, optical, and catalytic properties for advanced technolog…
Learning Atoms from Crystal Structure
Andrij Vasylenko, Dmytro Antypov, Sven Schewe +4
Computational modelling of materials using machine learning, ML, and historical data has become integral to materials research. The efficiency of computational modelling is strongl…