Breadth versus depth: Interactions that stabilize particle assemblies to changes in density or temperature
William D. Pi\~neros, Michael Baldea, Thomas M. Truskett

TL;DR
This study uses inverse statistical mechanics to design isotropic pair potentials that stabilize 2D square lattices over a range of densities and temperatures, revealing trade-offs between stability range and melting temperature.
Contribution
It introduces a non-linear programming approach to optimize pair potentials for stability against density and temperature changes, highlighting the balance between chemical potential advantage and stability range.
Findings
Larger chemical potential advantages lead to higher melting temperatures.
Optimized potentials have a smaller density stability range.
Design method efficiently finds interactions for various stability constraints.
Abstract
We use inverse methods of statistical mechanics to explore trade-offs associated with designing interactions to stabilize self-assembled structures against changes in density or temperature. Specifically, we find isotropic,convex-repulsive pair potentials that maximize the density range for which a two-dimensional square lattice is the stable ground state subject to a constraint on the chemical potential advantage it exhibits over competing structures (i.e., 'depth' of the associated minimum on the chemical potential hypersurface). We formulate the design problem as a non-linear program, which we solve numerically. This allows us to efficiently find optimized interactions for a wide range of possible chemical potential constraints. We find that assemblies designed to exhibit a large chemical potential advantage at a specified density have a smaller overall range of densities for which…
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