Tootfinder

Accelerated Discovery of High-\k{appa} Oxides with Physics-Based Factorized Machine Learning
Atsushi Takigawa, Shin Kiyohara, Yu Kumagai
https://arxiv.org/abs/2509.26022 https:/…

Accelerated Discovery of High-\k{appa} Oxides with Physics-Based Factorized Machine Learning
Considerable effort continues to be devoted to the exploration of next-generation high-\k{appa} materials that combine a high dielectric constant with a wide band gap. However, machine learning (ML)-based virtual screening has remained challenging, primarily due to the low accuracy in predicting the ionic contribution to the dielectric tensor, which dominates the dielectric performance of high-\k{appa} materials. We here propose a joint ML model that predicts Born effective charges using an equ…

Self-organized adaptive branching in frangible matter
P. L. B. Fischer, J. Tauber, T. Koch, L. Mahadevan
https://arxiv.org/abs/2509.26101 https://arxiv.org…

Self-organized adaptive branching in frangible matter
Soft and frangible materials that remodel under flow can give rise to branched patterns shaped by material properties, boundary conditions, and the time scales of forcing. We present a general theoretical framework for emergent branching in these frangible (or threshold) materials that switch abruptly from resisting flow to permitting flow once local stresses exceed a threshold, relevant for ex- amples as varied as dielectric breakdown of insulators and the erosion of soft materials. Simulation…

Electro-mechanical wrinkling of soft dielectric films bonded to hyperelastic substrates
Bin Wu, Linghao Kong, Weiqiu Chen, Davide Riccobelli, Michel Destrade
https://arxiv.org/abs/2509.21488

Electro-mechanical wrinkling of soft dielectric films bonded to hyperelastic substrates
Active control of wrinkling in soft film-substrate composites using electric fields is a critical challenge in tunable material systems. Here, we investigate the electro-mechanical instability of a soft dielectric film bonded to a hyperelastic substrate, revealing the fundamental mechanisms that enable on-demand surface patterning. For the linearized stability analysis, we use the Stroh formalism and the surface impedance method to obtain exact and sixth-order approximate bifurcation equation…

Universality in fidelity-based quantum metrology
Luis Arag\'on-Mu\~noz, Chryssomalis Chryssomalakos, Ana Gabriela Flores-Delgado, John Martin, Eduardo Serrano-Ens\'astiga
https://arxiv.org/abs/2509.18533

Apparently conductive materials can have a dielectric constant. How do you polarize a material if it has a non negligible current flowing through it? Doesn't make sense to me.

Continuous coupling of electron beam to a thin dielectric slab waveguide yields monochromatic Cherenkov diffraction radiation
Andrzej Szczepkowicz, Po-Wei Kuo, Yen-Cheh Huang
https://arxiv.org/abs/2508.15605

Continuous coupling of electron beam to a thin dielectric slab waveguide yields monochromatic Cherenkov diffraction radiation
A scheme for generation of monochromatic Cherenkov radiation in a thin dielectric layer is proposed. The electrons travel in vacuum parallel to a dielectric, exciting a single synchronous electromagnetic waveguide mode. The proposed scheme is studied quantitatively for near-infrared radiation in silicon induced by a 100-keV electron beam, using time-domain and frequency-domain numerical simulations, with material absorption and dispersion taken into account. This method of radiation generation …

Optical properties of popular dielectric substrate materials in a wide spectral range from far-infrared to ultraviolet
Minjae Kim, Hong Gu Lee, Jungseek Hwang
https://arxiv.org/abs/2509.18556

Optical properties of popular dielectric substrate materials in a wide spectral range from far-infrared to ultraviolet
We investigated the optical properties of 13 different dielectric materials (slide glass, quartz, Al2O3 (c-cut), DyScO3 (110), KTaO3 (001), LaAlO3 (001), (LaAlO3)0.3-(Sr2AlTaO6)0.7 (001) (LSAT), MgF2 (100), MgO (100), SiC, SrTiO3 (001), TbScO3 (110), and TiO2). The single-bounce reflectance spectra of the bulk samples were measured using Fourier transform infrared (FTIR) and monochromatic spectrometers across a wide spectral range, from far infrared to ultraviolet (80-50,000 cm-1). Using the Kr…

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction
Martin Schwade, Shaoming Zhang, Frederik Vonhoff, Frederico P. Delgado, David A. Egger
https://arxiv.org/abs/2508.20536

Physics-informed Hamiltonian learning for large-scale optoelectronic property prediction
Predicting optoelectronic properties of large-scale atomistic systems under realistic conditions is crucial for rational materials design, yet computationally prohibitive with first-principles simulations. Recent neural network models have shown promise in overcoming these challenges, but typically require large datasets and lack physical interpretability. Physics-inspired approximate models offer greater data efficiency and intuitive understanding, but often sacrifice accuracy and transferabil…

General Learning of the Electric Response of Inorganic Materials
Bradley A. A. Martin, Alex M. Ganose, Venkat Kapil, Keith T. Butler
https://arxiv.org/abs/2508.17870 https://

General Learning of the Electric Response of Inorganic Materials
We present MACE-Field, a field-aware $O(3)$-equivariant interatomic potential that provides a compact, derivative-consistent route to dielectric properties (such as polarisation $\mathbf P$, Born effective charges $Z^*$ and polarisability $\boldsymbolα$) and finite-field simulations across chemistry for inorganic solids. A uniform electric field is injected within each message-passing layer via a Clebsch-Gordan tensor-product which couples the field to latent spherical-tensor features, and per…

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Direct synthesis of single-crystal bilayer graphene on dielectric substrate
Tan, Xing, Fang, Huang, Wu, Zhang, Wang, Chen, Chen