Materials Literature
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We investigate infrared line signatures from radiatively decaying sterile-neutrino dark matter using publicly available JWST/NIRSpec IFU blank-sky observations. The main signal considered is the sterile-to-sterile transition $N_1\to N_2γ$, induced by the transition magnetic dipole coefficient $d_{NNγ}$, with $m_1>m_2$…
Large twist angles in twisted bilayer graphene are widely expected to be electronically trivial, with negligible interlayer coupling and no electronic reconstruction, in contrast to the rich moiré-driven band reconstruction and correlated physics that emerge at small twist angles. Here, we show that this paradigm brea…
Spectral imaging provides chemically specific and spatially resolved analysis of microplastics, but its routine application is hindered by large data volumes, acquisition artefacts, spectral variability, and misidentification of polymers due to alike spectra. This study proposes a multi-level preprocessing and modelli…
Single-particle cryo-electron microscopy images a macromolecule as many noisy tomographic projections of its electrostatic potential. We reconstruct the protein backbone directly from such projections, as an atomic point cloud, without the intermediate step of reconstructing the 3D electrostatic potential map. We form…
Understanding how photogenerated carriers dissipate excess energy in operating perovskite solar cells is essential for connecting ultrafast photophysics with photovoltaic function and provides design principles for engineering next-generation cell architectures. Here we use photocurrent-detected two-dimensional electr…
Abstract Lacuna, an open-source Python tool for discovering cryptic binding pockets: sites that are absent or too small to detect in a protein’s unbound structure and open only during conformational fluctuation. Most binding-site predictors score a single static structure, which is precisely the structure in which a c…
Amorphous materials are disordered solids without long-range structural order, making them useful systems for studying electron transport beyond the crystalline picture. This review discusses how structural disorder changes the spatial character of electron wavefunctions and how these changes govern carrier transport…
ABSTRACT Cantilever‐structured magneto‐mechano‐electric energy harvesters (MME‐EHs) are considered as one of promising candidates for powering Internet of Things (IoT) devices by capturing ambient magnetic fields. However, conventional MME‐EHs with volumes comparable to button cell batteries (≤1 cm 3 ) face a critical…
Rubber modified asphalt (RMA) offers good mechanical performance and promotes waste tire recycling, but high-temperature production can release fumes, hazardous gases, and odorous compounds. Four fume suppression and deodorizing agents (FSDAs), including a flame retardant (ZK), activated carbon (HXT), WQ, and DLK, wer…
The Light-Heavy (LH) model involves two species of particles (light and heavy) coupled with a fluctuating surface (described by tilts). The dynamics include the inherent diffusion of the particles (or tilts) as well as the drive provided by the tilts (or particles). When the two are of similar magnitude, the system li…
The article addresses topical issues of instrumental diagnostics of diamonds’ origin in the context of the modern jewelry market characterized by the widespread appearance of synthetic and treated stones. The objective of the study is to define the key diagnostic optical features necessary for the reliable identificat…
The chiral-induced spin selectivity (CISS) effect is generally attributed to spin-selective transport through chiral molecules, while the role of the molecule-electrode interface remains largely unexplored. Here, we show that adsorption of chiral amino acid derived molecules on ferromagnetic Ni thin films generates a…
Uniaxial pressure is a powerful tuning parameter for quantum materials, but conventional thermodynamic probes such as specific heat are difficult to realize in the constrained geometries of strain apparatus. We develop a quantitative analysis framework for a.c. elastocaloric effect measurements that enable the reconst…
Neural Quantum States (NQS) provide a powerful neural network-based variational framework for representing many-body wave functions and solving for ground states. Recurrent Neural Networks (RNNs) are particularly promising owing to their relatively low computational cost and their autoregressive property, which enable…
Charge trapping memory (CTM) has garnered significant attention as a pivotal alternative for next-generation flash memory cells, with its merits rooted in core high-k dielectric materials. However, the limited charge trapping density and shallow trap depth of intrinsic high-k dielectric materials directly result in un…
ABSTRACT Triboelectric nanogenerators (TENG) have emerged as a promising candidate for sustainable energy harvesting; however, most materials used in TENG fabrication rely on petroleum‐sourced polymers. Notably, a few studies have used sustainable materials, such as natural rubber (NR). In a filler‐free system, the NR…
Abstract This work presents a promising method for synthesizing high-performance PtCo/C–N catalysts based on Pt/C material on an N-doped carbon carrier. The effect of treatment temperature of Pt/C–N materials with deposited cobalt precursors on the structure and catalytic activity of PtCo/C–N catalysts has been studie…
We demonstrate that the spin dynamics of the noncollinear antiferromagnet Mn\textsubscript{3}Sn possesses a special soft eigen mode, which starts as a small-angle oscillation and eventually develops into a large-angle, windmill-type precession, when the canting angle surpasses a threshold value determined by the bendi…
Microplastic (MP) ubiquity has led to their detection in many filter feeding organisms in aquatic environments. Interaction of MPs with filter feeding marine bivalves is known to vary with particle morphology, yet temporal dynamics, organ-specific retention and egestion patterns remain poorly characterized in freshwat…
Fast analysis of microscopic drift-wave instabilities based on linear gyrokinetic simulation is desirable for modeling anomalous transport in fusion device. In this work, we present an orbit-invariant decomposition method for solving collisionless gyrokinetic eigenvalue problems. By discretizing velocity space along o…