Publications associées (77)

Accelerated Workflow for Antiperovskite-based Solid State Electrolytes

Andrea Fedrigucci, Ivano Eligio Castelli

We developed and implemented a multi-target multi-fidelity workflow to explore the chemical space of antiperovskite materials with general formula X(3)BA (X=Li, Na, Mg) and Pm-3m space group, searching for stable high-performance solid state electrolytes f ...
WILEY-V C H VERLAG GMBH2023

Outer automorphism anomalies

Brian Quinn Henning

We discuss anomalies associated with outer automorphisms in gauge theories based on classical groups, namely charge conjugations for SU(N) and parities for SO(2r). We emphasize the inequivalence (yet related by a flavor transformation) between two versions ...
SPRINGER2022

Induced giant piezoelectricity in centrosymmetric oxides

Paul Muralt, Dragan Damjanovic, Vasiliki Tileli, Mahmoud Hadad, Lukas Riemer, Daesung Park

Piezoelectrics are materials that linearly deform in response to an applied electric field. As a fundamental prerequisite, piezoelectric materials must have a noncentrosymmetric crystal structure. For more than a century, this has remained a major obstacle ...
2022

A stability theory beyond the co-rotational setting for critical wave maps blow up

Joachim Krieger, Shuang Miao

We exhibit non-equivariant perturbations of the blowup solutions constructed in [18] for energy critical wave maps into S2\mathbb{S}^2. Our admissible class of perturbations is an open set in some sufficiently smooth topology and vanishes near the light co ...
2020

Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs

Frédérick Matthieu Gusset

Convolutional neural networks (CNNs) are powerful tools in Deep Learning mainly due to their ability to exploit the translational symmetry present in images, as they are equivariant to translations. Other datasets present different types of symmetries (e.g ...
2019

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