6 papers
Machine Learning Guided Discovery of Corundum High Entropy Oxides
Abraham A. Mancilla, Oliver A. Dicks, Solveig S. Aamlid +5
Early thinking in the field of high entropy oxides (HEOs) emphasized their likely abundance, with combinatorial arguments hinting at a myriad of new materials. The experimental rea…
Mechanical loss in amorphous solids: spatial correlations, interacting transitions, and annealed thermodynamic pathways
Steven Blaber, Jörg Rottler
The disordered and defect-rich structure of amorphous solids forms heterogeneous, high-dimensional energy landscapes. Such an energy landscape can be described by a discrete-state…
Connected Network Model for the Mechanical Loss of Amorphous Materials
Steven Blaber, Daniel Bruns, Jörg Rottler
Dissipation in amorphous solids at low frequencies is commonly attributed to activated transitions of isolated two-level systems (TLS) that come in resonance with elastic or electr…
The influence of solute induced memory on interface migration
Chad W. Sinclair, Jörg Rottler
Interface migration governs microstructural evolution during phase transformations and grain growth thereby dictating those material properties that depend on microstructure. Recen…
Models for polymer dynamics from dimensionality reduction techniques
Phillip Bement, Joerg Rottler
Polymer dynamics is analyzed through the lens of linear dimensionality reduction methods, in particular principal (PCA) and time-lagged independent component analysis (tICA). For a…
The origin and scarcity of breathing pyrochlore lattices in spinel oxides
Valentina Mazzotti, Solveig S. Aamlid, Abraham A. Mancilla +5
Breathing pyrochlores are a unique class of materials characterized by a three-dimensional lattice of corner-sharing tetrahedra. However, unlike conventional pyrochlores where all…