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Meeting 2026 TMS Annual Meeting & Exhibition
Symposium Energy Technology 2026: Advancement in Energy Materials - Theory, Simulation, Characterization, Application
Presentation Title Atomistic Insight into Planar Condensates of Mg atoms in GaN Films from Empirical Molecular Dynamics Simulations.
Author(s) Priyanshu Asthana, Peng Geng, Jamie Marian
On-Site Speaker (Planned) Priyanshu Asthana
Abstract Scope Mg-doped gallium nitride (Mg:GaN) is essential for blue light-emitting diodes. At high Mg concentrations, Pyramidal Inversion Domain (PID) boundaries form within the GaN lattice, which increase electrical conductivity. However, the mechanism by which PIDs develop is not well understood, limiting further improvements in GaN-based electronics. This project uses molecular dynamics (MD) simulations to investigate the transformation of Mg-induced PIDs from initial intercalated structures to trapezoidal defects. A new Modified Embedded Atom Method (MEAM) potential for the Ga-Mg-N system was developed to enable accurate MD modeling. The study notes similarity in the structural features of PIDs to stacking fault tetrahedra (SFTs) in FCC metals. Based on this similarity, it we hypothesize that Mg PID formation in GaN follows a mechanism analogous to SFT formation. The insights from our work will allow for better control over PID formation in GaN, contributing to higher-performance GaN-based electronic and photonic devices.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Modeling and Simulation, Electronic Materials

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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Application of DFT simulation to the investigation of hydrogen-material interaction and design of high strength low alloy steel
Atomistic Insight into Planar Condensates of Mg atoms in GaN Films from Empirical Molecular Dynamics Simulations.
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Effect of laser power on the microstructural evolution and tribological properties of laser cladding Co-based self-lubricating coating
Effects of TiO2 andMnO2 on the Hydrogen Desorption of Mechanically milled MgH2
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Explainable Inverse Design of Battery Materials via Multi-Model Learning and Conditional Filtering
Functionalized Magnesium Nanoparticles for Controlled Energy Release
Investigation of high-purity Li2S production from Li2SO4 and LiOH using H2S gas
Machine learning-enhanced tomographic analysis of L12-type chemical short-range ordering in compositionally-complex alloys
Magnesium-Air Battery for Maritime Energy Storage
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Mechanically Reinforced Ion-Regulating Nanofibril Binder Accelerating Ion Transport in Thick LiFePO₄ Electrodes
Phase equilibria and thermodynamic properties of functional chalcogenides in the Ag–Pd–Ge–S system
Phonon Dynamics and Thermal Transport in Tl3VSe4
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Ultra-conductors: A new paradigm in energy transmission
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