2 citations · 2 across the 1 of their papers we have counts for
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Self-Supervised Learning and Prediction of Microstructure Evolution with Recurrent Neural Networks
Kaiqi Yang, Yifan Cao, Youtian Zhang +4
Microstructural evolution is a key aspect of understanding and exploiting the structure-property-performance relation of materials. Modeling microstructure evolution usually relies…
Luminescence quenching via deep defect states: A recombination pathway via oxygen vacancies in Ce-doped YAG
Christopher Linderälv, Daniel Åberg, Paul Erhart
Luminescence quenching via non-radiative recombination channels limits the efficiency of optical materials such as phosphors and scintillators and therefore has implications for co…
Compressive sensing lattice dynamics. II. Efficient phonon calculations and long-range interactions
Fei Zhou, Babak Sadigh, Daniel Aberg +2
We apply the compressive sensing lattice dynamics (CSLD) method to calculate phonon dispersion for crystalline solids. While existing methods such as frozen phonon, small displacem…
Anharmonicity-induced isostructural phase transition of Zirconium under pressure
Elissaios Stavrou, Lin H. Yang, Per Soderlind +8
We have performed a detailed x-ray diffraction structural study of Zr under pressure and unambiguously identify the existence of a first-order isostructural bcc-to-bcc phase transi…