6 papers
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…
Local probing of superconductivity at oxide interfaces with atomic force microscopy
Dilek Yildiz, Sungmin Kim, Dengyu Yang +10
Superconductivity in strontium titanate has remained enigmatic for more than 50 years. The LaAlO/SrTiO (LAO/STO) heterointerface enables systematic dimensional confinement,…
AutoREC: A software platform for developing reinforcement learning agents for equivalent circuit model generation from electrochemical impedance spectroscopy data
Ali Jaberi, Yonatan Kurniawan, Robert Black +5
This paper introduces AutoREC, an open-source Python package for developing reinforcement learning (RL) agents to automatically generate equivalent circuit models (ECMs) from elect…
Comparative study of room temperature and quench condensed bismuth films: morphology and electronic characteristics
Yulia Kirina, Prakash Sharma, Wyatt Thomas +4
A comparison between properties of bismuth thin films deposited at substrate temperatures of 296 K (room temperature) and 77 K (quench condensed) is studied across epitaxial, amorp…
Black-Box Uncertainty Estimation for Deep Learning Models in Atomistic Simulations
Idan Fonea, Amir Peles, Sivan Niv +2
We analyze an ensemble-based approach for uncertainty quantification (UQ) in atomistic neural networks. This method generates an epistemic uncertainty signal without requiring chan…
Competition on Dynamic Optimization Problems Generated by Generalized Moving Peaks Benchmark (GMPB)
Danial Yazdani, Michalis Mavrovouniotis, Changhe Li +6
The Generalized Moving Peaks Benchmark (GMPB) is a tool for generating continuous dynamic optimization problem instances with controllable dynamic and morphological characteristics…