معرفی
Amir Mahdian is a Doctoral Researcher at Aalto University's School of Chemistry and Materials, focusing on computational chemistry and electrochemical modeling. His work bridges theoretical approaches, such as density functional theory (DFT), with experimental data like cyclic voltammetry, particularly in the context of redox flow batteries (RFBs).
- Role: Doctoral Researcher
- University: Aalto University
- School: Chemistry and Materials
Research Interests
- Application of DFT and machine learning to electrochemical reactions
- Development of theoretical frameworks connecting squarescheme prediction with experimental data
- Modeling quinone-type molecules for energy storage solutions
Publications highlight his expertise in leveraging computational methods to advance electrochemical understanding, with a specific focus on scalable solutions for redox flow batteries. His work integrates quantum mechanical modeling and data-driven approaches to address challenges in energy storage technologies.
۰مقاله منتشرشده
