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From the 1 of 11 papers with an AI index.

most citedPhonon collapse and anharmonic melting of the 3D charge-density wave in kagome metals

14 citations

11 papers

cond-mat.mes-hall2026

Reduced vortex descriptors linking polycrystallinity in magnetic nanoparticles with polarized magnetic small-angle neutron scattering

M. P. Adams, J. Leliaert, A. Michels +1

Analytical vortex models reduce polarized magnetic small-angle neutron scattering (SANS) from nanoparticle ensembles to a small set of texture descriptors. In this work, we apply t…

cond-mat.str-el2026

Many-body correlations in Floquet steady-states: Frequency-resolved renormalization group of the driven Anderson impurity

Jan-Niklas Herre, Christoph Karrasch, Dante M. Kennes

The paper develops a functional renormalization group method for Floquet steady-states that keeps frequency-dependent interactions, and applies it to a periodically driven Anderson…

cond-mat.mtrl-sci2026

Circular dichroism in the photoelectron angular distribution of achiral molecules

Christian S. Kern, Xiaosheng Yang, Giovanni Zamborlini +9

Circular dichroism in the angular distribution (CDAD) is the effect that the angular intensity distribution of photoemitted electrons depends on the handedness of the incident circ…

cond-mat.mtrl-sci2026

Dynamically suppressed lattice rotations in SrTiO as a basis for photo-induced ferroelectricity

Huaiyu Hugo Wang, Michael Fechner, Giovanni De Vecchi +22

Photo-induced ferroelectricity in the quantum paraelectric SrTiO involves the dynamical interplay between a coherently driven Ti-O stretching vibration and multiple structural…

quant-ph2026

Resource-Efficient Quantum Optimization via Higher-Order Encoding

Frederik Koch, Shahram Panahiyan, Rick Mukherjee +2

Quantum approaches to combinatorial optimization problems (COPs) are often limited by the resource demands of Quadratic Unconstrained Binary Optimization (QUBO) encodings, which en…

cond-mat.mtrl-sci20263 cited

Accurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems

Burak Gurlek, Shubham Sharma, Paolo Lazzaroni +2

Emerging machine learning interatomic potentials (MLIPs) offer a promising solution for large-scale accurate material simulations, but stringent tests related to the description of…