MagDM Figure Code
These Mathematica notebooks contain the code used to generate all non-diagrammatic figures in "Dynamical metastability and transient topological magnons in interacting driven-dissipative magnetic systems."
Materials Literature
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These Mathematica notebooks contain the code used to generate all non-diagrammatic figures in "Dynamical metastability and transient topological magnons in interacting driven-dissipative magnetic systems."
ABSTRACT We report the design and fabrication of guiding patterns for topography‐based searching of two‐dimensional (2D) devices for scanning tunneling microscopy (STM) measurements. Sub‐micron geometric coordinate markers were etched into SiO 2 /Si wafers, serving as both substrates for 2D device integration and guid…
The exponential growth of Hilbert space dimensions presents a fundamental barrier to the classical simulation of quantum systems, necessitating a paradigm shift from algorithmic simulation to physical instantiation. This study validates the “Inverted Church-Turing-Deutsch” (CTD) framework, which posits that physical H…
The charge-to-spin conversion provides an efficient way to manipulate the magnetization by electrical means. In this work, we report on a study on the anisotropic nonrelativistic charge-to-spin conversion response to the current direction in altermagnets. We prove that the spin conductivity dictating the charge-to-spi…
Granular materials subjected to impact loading exhibit heterogeneous spatiotemporal dynamics governed by stress-wave propagation, pore collapse, and grain-scale rearrangement. Mesoscale hydrocodes can resolve these mechanisms, but the computational cost of repeated simulations limits parametric studies, uncertainty qu…
Natural bacterial habitats are often complex fluids with viscoelastic and anisotropic responses to stress; for example, they can take the form of liquid crystals (LCs), with elongated microscopic constituents that collectively align while still retaining the ability to flow. However, laboratory studies typically focus…
Abstract Metal corrosion is a major challenge in the manufacturing sector. Pulse electrodeposition (PED) is a promising effective technique for metal corrosion protection; however, the coating quality depends on the PED parameters. This study involved metal corrosion protection research and aimed to improve the qualit…
The structural, optical, and optoelectronic properties of germanium nanoparticles (Ge-NPs) in a silicon nitride (Si3N4) are studied for applications across the visible to short-wave infrared range (VIS-SWIR). Ge-NPs:Si3N4 films with a 70:30 volume ratio have been fabricated by magnetron sputtering on c-Si substrate an…
Abstract Allosteric regulation enables fine-tuned control of enzyme activity in response to cellular signals, yet its molecular basis often remains unclear. Phosphofructokinase-1 (PFK), the highly conserved, rate-limiting glycolytic enzyme, is a paradigm for Monod–Wyman–Changeux allosteric kinetics. However, X-ray cry…
Natural water-repellent surfaces use hierarchical texture and low surface energy to minimize liquid adhesion, and this principle has inspired engineered superhydrophobic surfaces for passive anti-icing. However, whether such bioinspired water-repellent architectures remain beneficial during freezing and ice detachment…
Hydrogen detection is becoming increasingly important as its use grows across energy and industrial systems. Optical sensing platforms based on palladium (Pd) nanoparticles are attractive for this task because hydrogen uptake directly alters their plasmonic response. Organizing such nanoparticles into periodic two-dim…
Coupled-cluster theory defines the accuracy standard for molecular electronic-structure properties but scales too steeply for routine application, whereas density-functional theory is affordable yet systematically biased. We resolve this trade-off with a single equivariant network, MEHnet-MG, that predicts an effectiv…
AgCrP2S6 combines a low-symmetry thiophosphate framework with an antiferromagnetic Cr sublattice and nonmagnetic Ag sites, providing a setting in which covalency and magnetic localization compete in the low-energy optical response. We combine single-crystal x-ray diffraction, Raman spectroscopy, lattice-dynamical calc…
Metasurfaces have revolutionized the development of photonic devices by enabling unprecedented precision in light manipulation. However, their design processes are often constrained by computationally expensive simulations and complex high-dimensional design spaces. Although deep learning has accelerated the design pr…
We introduce a graphite-gated architecture for bilayer graphene devices in which the active device is completely isolated from the natural graphene edges. Using a single patterned graphite-gate layer, we realize a fully electrostatically defined Hall-bar. Longitudinal and Hall measurements reveal mesoscopic transport…
Systematic coverage of thermal, electrocatalytic, and photocatalytic PET recycling pathways Mechanical recycling of PET often yields lower-quality materials, driving demand for chemical approaches that recover monomers or upcycle waste into high-value products. Chemical Recycling of Polyethylene Terephthalate: Methods…
High contact resistances in atomically thin semiconductors often mask intrinsic electrical transport properties, particularly at low carrier densities where exotic correlated states emerge. We introduce optical voltage profiling, a noninvasive wide-field technique that replaces local voltage probes with a proximal mon…
Spin defects in silicon carbide (SiC) are promising candidates for integrated quantum photonics, offering long-lived spin states and near-infrared emission suitable for low-loss photonic integration and fibre-based quantum communication. However, light extraction from these defects remains challenging due the relative…
This work presents an analysis of how the learning rate in a modular Artificial Neural Network (ANN) influences the development of the Goodman Diagram for the DD5 composite material. Experimental data involving multiple S-N curves were collected, and a mathematical approach based on the Generalized Power Law was emplo…
Antimony sulfide (Sb$_2$S$_3$) is a semiconductor composed of quasi-one-dimensional ribbon-like structural units, which give rise to pronounced structural anisotropy in the bulk crystal. Despite growing interest in Sb$_2$S$_3$, in particular Sb$_2$S$_3$ thin films, a detailed understanding of its symmetry-based lattic…