activity
20182023
most citedKinetic Pathways of Phase Decomposition Using Steepest-Entropy-Ascent Quantum Thermodynamics Modeling. Part I: Continuous and Discontinuous Transformations

14 citations · 64 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.soft2023★ 2 cited

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…

cond-mat.soft2022★ 7 cited

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…

cond-mat.mtrl-sci2022★ 2 cited

Predicting Defect Stability and Annealing Kinetics in Two-Dimensional PtSe Using Steepest Entropy Ascent Quantum Thermodynamics

Aimen Younis, Fazel Baniasadi, Michael R. von Spakovsky +1

The steepest-entropy-ascent quantum thermodynamic (SEAQT) framework was used to calculate the stability of a collection of point defects in 2D PtSe and predict the kinetics wit…

cond-mat.mtrl-sci2021★ 5 cited

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…

cond-mat.mtrl-sci2018★ 12 cited

Steepest-Entropy-Ascent Quantum Thermodynamics Models in Materials Science

Ryo Yamada, Michael R. von Spakovsky, William T. Reynolds

Steepest-entropy-ascent quantum thermodynamics, or SEAQT, is a unified approach of quantum mechanics and thermodynamics that avoids many of the inconsistencies that can arise betwe…

cond-mat.mtrl-sci2018

Kinetic Pathways of Phase Decomposition Using Steepest-Entropy-Ascent Quantum Thermodynamics Modeling. Part II: Phase Separation and Ordering

Ryo Yamada, Michael R. von Spakovsky, William T. Reynolds

The kinetics of ordering and concurrent ordering and clustering is analyzed with an equation of motion initially developed to account for dissipative processes in quantum systems.…

cond-mat.stat-mech2018★ 14 cited

Kinetic Pathways of Phase Decomposition Using Steepest-Entropy-Ascent Quantum Thermodynamics Modeling. Part I: Continuous and Discontinuous Transformations

Ryo Yamada, Michael R. von Spakovsky, William T. Reynolds

The decomposition kinetics of a solid-solution into separate phases are analyzed with an equation of motion initially developed to account for dissipative processes in quantum syst…

cond-mat.mtrl-sci2018★ 10 cited

Low-temperature Atomistic Spin Relaxation and Non-equilibrium Intensive Properties Using Steepest-Entropy-Ascent Quantum-Inspired Thermodynamics Modeling

Ryo Yamada, Michael R. von Spakovsky, William T. Reynolds

The magnetization of body-centered cubic iron at low temperatures is calculated with the steepest-entropy-ascent quantum thermodynamics (SEAQT) framework. This framework assumes th…

cond-mat.mtrl-sci2018★ 12 cited

A Method for Predicting Nonequilibrium Thermal Expansion Using Steepest-Entropy-Ascent Quantum Thermodynamics

Ryo Yamada, Michael R. von Spakovsky, William T. Reynolds

Steepest-entropy-ascent quantum thermodynamics (SEAQT) is an intriguing approach that describes equilibrium and dynamic processes in a self-consistent way. The applicability is lim…