17 citations · 35 across the 6 of their papers we have counts for
6 papers
Practical Insights to Thin Film Dewetting
Karim Gadelrab, Stefan Reimann-Zitz
Thin liquid films exhibit rich instability and rupture dynamics that critically impact coating performance across many applications. In this work, we use the lattice Boltzmann meth…
Mixture of Experts Framework in Machine Learning Interatomic Potentials for Atomistic Simulations
Gabriel de Miranda Nascimento, Marc L. Descoteaux, Laura Zichi +9
First-principles atomistic simulations are essential for understanding complex material phenomena but are fundamentally limited by their computational cost. While Machine Learning…
Atomistic modeling of the hygromechanical properties of amorphous Polyamide 6,6
Karim Gadelrab, Armin Kech, Camilo Cruz
Polyamide 6,6 (PA66) is a key engineering polymer, whose unique mechanical properties arise from strong interchain hydrogen bonding. However, its hygroscopic nature makes it highly…
Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions
Huan Tran, Chiho Kim, Rishi Gurnani +8
Polymer composite performance depends significantly on the polymer matrix, additives, processing conditions, and measurement setups. Traditional physics-based optimization methods…
Advances in dynamic AFM: from nanoscale energy dissipation to material properties in the nanoscale
Sergio Santos, Karim Gadelrab, Chia-Yun Lai +5
Since the inception of the atomic force microscope AFM, dynamic methods have been very fruitful by establishing methods to quantify dissipative and conservative forces in the nanos…
Self-assembly of cylinder forming diblock copolymers on modulated substrates: a simulation study
Karim Gadelrab, Alfredo Alexander-Katz
Self-consistent field theory (SCFT) and strong segregation theory (SST) are used to explore the parameter space governing the self-assembly of cylinder forming block copolymers (BC…