A5087500110- Advanced Memory and Neural Computing
- MXene and MAX Phase Materials
- Advanced Polymer Synthesis and Characterization
- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Battery Materials and Technologies
- Advancements in Photolithography Techniques
- 2D Materials and Applications
- Machine Learning in Materials Science
- Covalent Organic Framework Applications
- Advancements in Battery Materials
University of Nebraska–Lincoln
2024
University of Tehran
2018
MXenes have rapidly ascended as a prominent class of two-dimensional (2D) materials, renowned for their distinctive optical and electrical properties. Despite extensive exploration MXenes' properties, existing studies predominantly focus on the near-infrared (NIR) to ultraviolet spectral range, leaving mid-infrared (mid-IR) range relatively uncharted. In this study, we conducted comprehensive characterization intrinsic properties Ti3C2Tx MXene across an ultrabroadband spanning from mid-IR...
A research has been carried out to simulate an atom transfer radical copolymerization (ATRcP) system of styrene and n-butyl acrylate using the stochastic Monte Carlo method investigate variation reactant concentration, average molecular weight distribution, sequence length different dyad fractions copolymer composition as a function feed fraction. To this end, finely tuned program was written in C++ language implement simulation algorithm. It observed that although fraction alteration...