IPM Positions

Post-Doctoral Research Fellow, Condensed Matter National Laboratory

Present Research Project at IPM

Employing machine learning techniques for the prediction of energy storage properties in low-dimensional materials.

Related Papers

1.	A. Sajedi-Moghaddam and E. Rahmanian Laser-Assisted Patterning of 2D/1D WS2/CNT Electrodes for All-Solid-State In-Plane Microsupercapacitors with Improved Rate Performance ACS Publications (2025),   [abstract]

2.	E. Rahmanian, R. Malekfar and A. Sajedi-Moghaddam Insights on the Rate Performance of Polyaniline Supercapacitors by Integrated Mathematical Modeling and Machine Learning J. Mater. Chem. A 12 (2024), 32318-32327  [abstract]