95 citations · 762 across the 22 of their papers we have counts for
22 papers
Machine learning potentials with Iterative Boltzmann Inversion: training to experiment
Sakib Matin, Alice Allen, Justin S. Smith +7
Methodologies for training machine learning potentials (MLPs) to quantum-mechanical simulation data have recently seen tremendous progress. Experimental data has a very different c…
Treating random sequential addition via the replica method
Ryan B. Jadrich, Beth A. Lindquist, Thomas M. Truskett
While many physical processes are non-equilibrium in nature, the theory and modeling of such phenomena lag behind theoretical treatments of equilibrium systems. The diversity of po…
First principles reactive simulation for equation of state prediction
Ryan B. Jadrich, Christopher Ticknor, Jeffery A. Leiding
The high cost of density functional theory has hitherto limited the ab initio prediction of equation of state (EOS). In this article, we employ a combination of large scale computi…
Inverse methods for design of soft materials
Zachary M. Sherman, Michael P. Howard, Beth A. Lindquist +2
Functional soft materials, comprising colloidal and molecular building blocks that self-organize into complex structures as a result of their tunable interactions, enable a wide ar…
Structure and phase behavior of polymer-linked colloidal gels
Michael P. Howard, Ryan B. Jadrich, Beth A. Lindquist +4
Low-density "equilibrium" gels that consist of a percolated, kinetically arrested network of colloidal particles and are resilient to aging can be fabricated by restricting the num…
The Role of Pressure in Inverse Design for Assembly
Beth A. Lindquist, Ryan B. Jadrich, Michael P. Howard +1
Isotropic pairwise interactions that promote the self assembly of complex particle morphologies have been discovered by inverse design strategies derived from the molecular coarse-…