activity
20012015
most citedMicroscopic theory of network glasses

43 citations · 101 across the 8 of their papers we have counts for

collaborators

8 papers

physics.comp-ph2015

Sign learning kink-based (SiLK) quantum Monte Carlo for molecular systems

Xiaoyao Ma, Randall W. Hall, Frank Loffler +4

The Sign Learning Kink (SiLK) based Quantum Monte Carlo (QMC) method is used to calculate the ab initio ground state energies for multiple geometries of the HO, N, and F$…

cond-mat.soft2008★ 40 cited

Constructing explicit magnetic analogies for the dynamics of glass forming liquids

Jacob D. Stevenson, Aleksandra M. Walczak, Randall W. Hall +1

By defining a spatially varying replica overlap parameter for a supercooled liquid referenced to an ensemble of fiducial liquid state configurations we explicitly construct a const…

cond-mat.soft2007

Intermolecular Forces and the Glass Transition

Randall W. Hall, Peter G. Wolynes

Random first order transition theory is used to determine the role of attractive and repulsive interactions in the dynamics of supercooled liquids. Self-consistent phonon theory, a…

physics.chem-ph2005★ 4 cited

Simulation of geometric and electronic degrees of freedom using a kink-based path integral formulation: application to molecular systems

Randall W. Hall

A kink-based path integral method, previously applied to atomic systems, is modified and used to study molecular systems. The method allows the simultaneous evolution of atomic and…

cond-mat.mtrl-sci2003

Reply to Comment on "Microscopic theory of network glasses"

Randall W. Hall, Peter G. Wolynes

In a Comment (cond-mat/0310030) on our recent paper on network glasses (Phys. Rev. Lett., 2003, 90, 085505), Micoulaut and Boolchand (MB) compare our predictions on glass transitio…

cond-mat2002★ 43 cited

Microscopic theory of network glasses

Randall W. Hall, Peter G. Wolynes

A molecular theory of the glass transition of network forming liquids is developed using a combination of self-consistent phonon and liquid state approaches. Both the dynamical tra…