papers

Publications (8)

physics.chem-ph2022

Using hyper-optimized tensor networks and first-principles electronic structure to simulate experimental properties of the giant {Mn84} torus

Dian-Teng Chen, Phillip Helms, Ashlyn R. Hale +7

The single-molecule magnet {Mn84} is a challenge to theory due to its high nuclearity. Building on our prior work which characterized the structure of the spectrum of this magnet,…

cond-mat.stat-mech2020

Dynamical Phase Transitions in a 2D Classical Nonequilibrium Model via 2D Tensor Networks

Phillip Helms, Garnet Kin-Lic Chan

We demonstrate the power of 2D tensor networks for obtaining large deviation functions of dynamical observables in a classical nonequilibrium setting. Using these methods, we analy…

physics.comp-ph2022

Automatic transformation of irreducible representations for efficient contraction of tensors with cyclic group symmetry

Yang Gao, Phillip Helms, Garnet Kin-Lic Chan +1

Tensor contractions are ubiquitous in computational chemistry and physics, where tensors generally represent states or operators and contractions express the algebra of these quant…

cond-mat.str-el2020

Ground-state properties of the hydrogen chain: insulator-to-metal transition, dimerization, and magnetic phases

Mario Motta, Claudio Genovese, Fengjie Ma +14

Accurate and predictive computations of the quantum-mechanical behavior of many interacting electrons in realistic atomic environments are critical for the theoretical design of ma…

cond-mat.stat-mech2019

Dynamical phase behavior of the single- and multi-lane asymmetric simple exclusion process via matrix product states

Phillip Helms, Ushnish Ray, Garnet Kin-Lic Chan

We analyze the dynamical phases of the current-biased 1D and multi-lane open asymmetric simple exclusion processes (ASEP), using matrix product states and the density matrix renorm…

cond-mat.mes-hall2023

Intrinsic interface adsorption drives selectivity in atomically smooth nanofluidic channels

Phillip Helms, Anthony R. Poggioli, David T. Limmer

Specific molecular interactions underlie unexpected and useful phenomena in nanofluidic systems, but require descriptions that go beyond traditional macroscopic hydrodynamics. In t…