246 citations · 882 across the 18 of their papers we have counts for
19 papers
Lattice dynamics of disordered phases of silicon and spatially resolved computations of thermal conductivity
A. Gautam, C. Ugwumadu, L. A. M. Rosset +3
The lattice dynamics of disordered systems (amorphous solids, polymers and glasses) are often distinct from crystalline analogues. Examples include the "two-level systems" and the…
Site-projected Thermal Conductivity: Application to defects, interfaces, and homogeneously disordered materials
A. Gautam, Y. G. Lee, C. Ugwumadu +3
With the rapid advance of high-performance computing and electronic technologies, understanding thermal conductivity in materials has become increasingly important. This study pres…
Identification of novel organic ferroelectrics: A study combining importance sampling with machine learning
Ayana Ghosh, Dennis P. Trujillo, Subhashis Hazarika +5
Recent advances in the synthesis of polar molecular materials have produced practical alternatives to ferroelectric ceramics, opening up exciting new avenues for their incorporatio…
Domain alignment within ferroelectric/dielectric PbTiO/SrTiO superlattice nanostructures
J. Park, J. Mangeri, Q. Zhang +7
The ferroelectric domain pattern within lithographically defined PbTiO3/SrTiO3 ferroelectric/dielectric heteroepitaxial superlattice nanostructures is strongly influenced by the ed…
Controllable skyrmion chirality in ferroelectrics
Yu. Tikhonov, S. Kondovych, J. Mangeri +9
Chirality, an intrinsic handedness, is one of the most intriguing fundamental phenomena in nature. Materials composed of chiral molecules find broad applications in areas ranging f…
Understanding Magnetic Properties of Actinide-Based Compounds from Machine Learning
Ayana Ghosh, Filip Ronning, Serge Nakhmanson +1
Actinide and lanthanide-based materials display exotic properties that originate from the presence of itinerant or localized f-electrons and include unconventional superconductivit…