Atomfair Brainwave Hub: Nanomaterial Science and Research Primer / Computational and Theoretical Nanoscience / Computational design of nanoscale catalysts

Computational design of nanoscale catalysts

Showing 13-20 of 20 articles

Finite element analysis of strain effects in heteroepitaxy

Machine learning potentials for nanoparticle growth

Reaction-diffusion modeling of electrochemical deposition

Monte Carlo simulations of nanoparticle coalescence

First-principles thermodynamics of 2D material growth

Cellular automaton modeling of polycrystalline films

Hybrid MD-continuum modeling of electrospinning

Quantum-classical modeling of plasma-enhanced growth