TY - JOUR
T1 - Computational analysis and design of high-entropy nanoparticles: Integrating atomistic simulations with scientific pedagogy in materials research
AU - Luhar, Priyanshu
AU - Ramirez, Ricardo
AU - Hwang, Jiwon Lexi
AU - Hong, Sungwook Leo
PY - 2025/4/16
Y1 - 2025/4/16
N2 - This study leverages reactive molecular dynamics simulations to enhance undergraduate education and research in materials science. Focusing on the oxidation processes of a variety of energetic metal nanoparticles, including Al, Cu, Mg, and Ti, two undergraduate students led the scientific inquiry. They conducted literature reviews, ran simulations, validated assumptions, and analyzed results, deepening their understanding of material behaviors and strengthening their STEM identity. Through these hands-on experiences, the students successfully investigated the energetic properties of these nanoparticles, demonstrating the effectiveness of this approach in promoting inquiry-based learning. This work underscores the transformative potential of computational simulations in advancing computational materials research, fostering diversity, and preparing undergraduates for future contributions to computational modeling-driven science.
AB - This study leverages reactive molecular dynamics simulations to enhance undergraduate education and research in materials science. Focusing on the oxidation processes of a variety of energetic metal nanoparticles, including Al, Cu, Mg, and Ti, two undergraduate students led the scientific inquiry. They conducted literature reviews, ran simulations, validated assumptions, and analyzed results, deepening their understanding of material behaviors and strengthening their STEM identity. Through these hands-on experiences, the students successfully investigated the energetic properties of these nanoparticles, demonstrating the effectiveness of this approach in promoting inquiry-based learning. This work underscores the transformative potential of computational simulations in advancing computational materials research, fostering diversity, and preparing undergraduates for future contributions to computational modeling-driven science.
KW - Department: Mechanical Engineering
KW - Email: [email protected]
UR - https://www.scopus.com/pages/publications/105002655538
UR - https://www.scopus.com/pages/publications/105002655538#tab=citedBy
U2 - 10.1557/s43580-025-01261-4
DO - 10.1557/s43580-025-01261-4
M3 - Article
SN - 2059-8521
VL - 10
SP - 1735
EP - 1740
JO - MRS Advances
JF - MRS Advances
IS - 14
ER -