Listen to the podcast of this paper: Abstract: Molecular dynamics simulations of the tensile ultimate properties of polymer crystals require the use of empirical potentials
Year: 2023
Listen to the podcast of this paper: Machine learning-based predictive models allow rapid and reliable prediction of material properties and facilitate innovative materials design. Base
In this study, we developed a Python package, PyL3dMD, for calculating 3D descriptors from MD simulations. PyL3dMD is compatible with the popular simulation package LAMMPS
A new paper titled “Methanol-Assisted ADMET Polymerization of Semiaromatic Amides” published on ACS Macro Letters. This is the 7th paper from my PhD, also the
I am so excited to receive this approval letter for my green card application today! I submitted my application in september in 2022 and got
Exciting news in the world of MXenes! Our team (Quanpeng Yang and Ashlie Martini (both Martini Research Group / University of California, Merced), Philipp Grützmacher (he-him) (Technische Universität Wien) and me (Technische Universität