7 citations · 14 across the 4 of their papers we have counts for
4 papers
Predicting Ion Sequestration in Charged Polymers with the Steepest-Entropy-Ascent Quantum Thermodynamic Framework
Jared McDonald, Michael R. von Spakovsky, William T. Reynolds
The steepest-entropy-ascent quantum thermodynamic framework is used to investigate the effectiveness of multi-chain polyethyleneimine-methylenephosphonic acid in sequestering rare-…
Predicting Polymer Brush Behavior in Solvents using the Steepest-Entropy-Ascent Quantum Thermodynamic Framework
Jared McDonald, Michael R. von Spakovsky, William T. Reynolds
The steepest-entropy-ascent quantum thermodynamic (SEAQT) framework is utilized to study the effects of temperature on polymer brushes. The brushes are represented by a discrete en…
Predicting Non-Equilibrium Folding Behavior of Polymer Chains using the Steepest-Entropy-Ascent Quantum Thermodynamic Framework
Jared McDonald, Michael R. von Spakovsky, William T. Reynolds
The Replica Exchange Wang-Landau Method is used to estimate the energy landscape of a polymer composed of a simple hydrophobic and polar sequence using the HP protein model. Calcul…
Entropy-Driven Microstructure Evolution Predicted with the Steepest-Entropy-Ascent Quantum Thermodynamic Framework
Jared McDonald, Michael R. von Spakovsky, William T. Reynolds
A Potts model and the Replica Exchange Wang-Landau algorithm are used to construct an energy landscape for a crystalline solid containing surfaces and grain boundaries. The energy…