Tootfinder

A Chebyshev--Ritz Spectral Framework for Nonlinear Vibration of CNT-Reinforced Composite Beams
Maryam Jalili, Samad Noeiaghdam
https://arxiv.org/abs/2509.11946 https://

A Chebyshev--Ritz Spectral Framework for Nonlinear Vibration of CNT-Reinforced Composite Beams
This study develops a spectral Ritz formulation for the nonlinear free vibration analysis of carbon nanotube-reinforced composite (CNTRC) beams. Boundary-adapted Chebyshev basis functions are constructed to exactly satisfy clamped and simply supported boundary conditions. The governing equations incorporate von~Kármán geometric nonlinearity, while the effective material properties for both uniform and functionally graded (FG) CNT distributions are evaluated using a modified rule of mixtures. …

ah yes, all workers should have the right to hurl racial slurs at black customers
-- Jamellebouie.net
https://bsky.app/profile/theatlantic.com/post/3m7sdbto26f2r

The Atlantic (@theatlantic.com)
“Those of us on the left should be fighting to improve protections for workers of all races, and thereby for the betterment of people’s material conditions regardless of their views,” Arash Azizi argues: https://bit.ly/48wTLxe

Unlocking High-Throughput Heterojunction Discovery
Thomas W. Gries, Davide Regaldo, Yanyan Duan, Florian Scheler, Maxim Simmonds, Valerio Stacchini, Annamaria Petrozza, Eva Unger, Antonio Abate, Jean-Paul Kleider, Artem Musiienko
https://arxiv.org/abs/2510.11548

Unlocking High-Throughput Heterojunction Discovery
Photoluminescence (PL) is a ubiquitous proxy for material quality in optoelectronic devices, widely used for high-throughput materials discovery. However, we demonstrate that in the presence of charge-selective contacts, PL loses its predictive reliability and can exhibit strong quenching even in highly efficient photovoltaic devices under open-circuit conditions. By combining steady-state and transient PL with contactless transient surface photovoltage measurements we disentangle the intertwin…

💧 Ultrasonic device dramatically speeds harvesting of water from the air
#water…

Ultrasonic device dramatically speeds harvesting of water from the air
Feeling thirsty? Why not tap into the air? Even in desert conditions, there exists some level of humidity that, with the right material, can be soaked up and squeezed out to produce clean drinking water. In recent years, scientists have developed a host of promising sponge-like materials for this "atmospheric water harvesting."

Strong interlayer coupling and chiral flat-band cascades in twisted bilayer gratings
Daegwang Choi, Soon-Jae Lee, Seung-Woon Cho, Chan Bin Bark, Seik Pak, Dong-Jin Shin, Moon Jip Park, Su-Hyun Gong
https://arxiv.org/abs/2510.07381

Strong interlayer coupling and chiral flat-band cascades in twisted bilayer gratings
From atomic crystals to macroscopic material structures, twisted bilayer systems have emerged as a promising route to control wave phenomena. In few-layer van der Waals (vdW) materials, however, the intrinsically weak interlayer coupling typically demands fine control of small twist angles to reach magic-angle conditions. Here, we show that one-dimensional photonic crystal bilayers can overcome this limitation by accessing a regime of strong interlayer coupling -- comparable to intralayer coupl…

Enhancing the Efficiency of Time-Dependent Density Functional Theory Calculations of Dynamic Response Properties
Zhandos A. Moldabekov, Sebastian Schwalbe, Uwe Hernandez Acosta, Thomas Gawne, Jan Vorberger, Michele Pavanello, Tobias Dornheim
https://arxiv.org/abs/2510.01875

Enhancing the Efficiency of Time-Dependent Density Functional Theory Calculations of Dynamic Response Properties
X-ray Thomson scattering (XRTS) constitutes an essential technique for diagnosing material properties under extreme conditions, such as high pressures and intense laser heating. Time-dependent density functional theory (TDDFT) is one of the most accurate available ab initio methods for modeling XRTS spectra, as well as a host of other dynamic material properties. However, strong thermal excitations, along with the need to account for variations in temperature and density as well as the finite s…

Electromagnetically driven, environmentally adaptive, and functionally switchable hydrodynamic devices
Chen-Long Wu, Bin Wang, Hao Wang, Neng-Zhi Yao, Liujun Xu, Xuesheng Wang, Jiping Huang
https://arxiv.org/abs/2509.26491

Electromagnetically driven, environmentally adaptive, and functionally switchable hydrodynamic devices
Metamaterials provide exceptional control over physical phenomena, enabling many disruptive technologies. However, researches in hydrodynamic meta-devices have mainly used intrusive methods to manipulate material structures, limited by material properties and specific environmental conditions. Each design serves a single function, reducing versatility. This study introduces a meta-hydrodynamics theory using applied force fields to avoid physical contact with the fluid and eliminate the need for…

Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Models
JuanaJuana Valeria Hurtado, Rohit Mohan, Abhinav Valada
https://arxiv.org/abs/2509.20107 https://…

Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Models
Hyperspectral imaging (HSI) captures spatial information along with dense spectral measurements across numerous narrow wavelength bands. This rich spectral content has the potential to facilitate robust robotic perception, particularly in environments with complex material compositions, varying illumination, or other visually challenging conditions. However, current HSI semantic segmentation methods underperform due to their reliance on architectures and learning frameworks optimized for RGB in…

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…

Non-isentropic cavity flow for the multi-d compressible Euler system
Helge Kristian Jenssen, Charis Tsikkou
https://arxiv.org/abs/2509.16435 https://arxiv.…

Non-isentropic cavity flow for the multi-d compressible Euler system
We rigorously construct non-isentropic and self-similar multi-d Euler flows in which a central cavity (vacuum region) collapses. While isentropic flows of this type have been analyzed earlier by Hunter \cite{hun_60} and others, the non-isentropic setting introduces additional complications, in particular with respect to the behavior along the fluid-vacuum interface. The flows we construct satisfy the physical boundary conditions: the interface is a material surface along which the pressure vani…

Detection of CH3 in the O-rich planetary nebula NGC 6302
Charmi Bhatt (Department of Physics and Astronomy, University of Western Ontario, Institute for Earth and Space Exploration, University of Western Ontario), Jan Cami (Department of Physics and Astronomy, University of Western Ontario, SETI Institute), Els Peeters (Department of Physics and Astronomy, University of Western Ontario, SETI Institute), Nicholas Clark (Department of Physics and Astronomy, University of Western Ontario…

Detection of CH3+ in the O-rich planetary nebula NGC 6302
Planetary nebulae are sites where ejected stellar material evolves into complex molecules, but the precise physical conditions and chemical routes that govern these processes are unclear. The presence of abundant carbon-rich molecules in O-rich environments poses particular challenges. Here we report the first detection of methyl cation (CH3+) in any planetary nebula, observed in the O-rich nebula NGC 6302 using JWST MIRI/MRS observations. CH3+ is a key driver of organic chemistry in UV-irradia…

A rigorous coupled-wave analysis of birefringent holographic gratings with periodically-modulated dielectric tensor along an in-plane direction and tensor variations in the thickness direction
Masud Mansuripur, Per Kristen Jakobsen
https://arxiv.org/abs/2510.01214

A rigorous coupled-wave analysis of birefringent holographic gratings with periodically-modulated dielectric tensor along an in-plane direction and tensor variations in the thickness direction
Diffraction of light upon interaction with thick slabs of a dielectric material having a periodic modulation of its refractive index (or dielectric tensor) is typically studied with the aid of the method known as the rigorous coupled-wave analysis (RCWA). The method involves solving Maxwell's equations for a large number of coupled electromagnetic plane-waves inside the dielectric slab, then matching the boundary conditions at the interface between the incidence medium and the slab, as well as …

Mapping Microstructure: Manifold Construction for Accelerated Materials Exploration
Simon A. Mason, Megna N. Shah, Jeffrey P. Simmons, Dennis M. Dimiduk, Stephen R. Niezgoda
https://arxiv.org/abs/2509.15022

Mapping Microstructure: Manifold Construction for Accelerated Materials Exploration
Accelerating materials development requires quantitative linkages between processing, microstructure, and properties. In this work, we introduce a framework for mapping microstructure onto a low-dimensional material manifold that is parametrized by processing conditions. A key innovation is treating microstructure as a stochastic process, defined as a distribution of microstructural instances rather than a single image, enabling the extraction of material state descriptors that capture the esse…

Particle-scale studies elucidating visco-collisional rheology in granular-fluid flows
Teng Man, Herbert Huppert, Qingfeng Feng, Kimberly Hill
https://arxiv.org/abs/2509.20700 ht…

Particle-scale studies elucidating visco-collisional rheology in granular-fluid flows
We study the particle-scale dynamics that give rise to bulk flow behaviours of highly concentrated particle-fluid mixtures using discrete element method (DEM) simulations. We utilize boundary conditions of a stress-controlled shear cell and vary material properties and applied stresses systematically. We find the bulk rheology transitions smoothly among what might be called viscous, collisional, and visco-collisional behaviours based on average shear rate dependence as well as dominance of loca…

Avalanche-like lithium intercalation and intraparticle correlations in graphite
Jiho Han, George S. Phillips, Alice J. Merryweather, Juhwan Lim, Christoph Schnedermann, Robert L. Jack, Clare P. Grey, Akshay Rao
https://arxiv.org/abs/2509.21047

Avalanche-like lithium intercalation and intraparticle correlations in graphite
Graphite is the most widely used anode material in lithium-ion batteries with over 98% market share. However, despite its first application over 30 years ago, the lithium insertion processes and associated dynamics in graphite remain poorly understood, especially for the dilute stages. A fundamental understanding of how the symmetry-breaking phase transitions occur pseudo-continuously under operating conditions is still lacking. Here, we provide a unified picture of ion intercalation dynamics d…

Data-driven discovery of governing equation for sheared granular materials in steady and transient states
Xu Han, Lu Jing, Chung-Yee Kwok, Gengchao Yang, Yuri Dumaresq Sobral
https://arxiv.org/abs/2509.14518

Data-driven discovery of governing equation for sheared granular materials in steady and transient states
Granular material has significant implications for industrial and geophysical processes. A long-lasting challenge, however, is seeking a unified rheology for its solid- and liquid-like behaviors under quasi-static, inertial, and even unsteady shear conditions. Here, we present a data-driven framework to discover the hidden governing equation of sheared granular materials. The framework, PINNSR-DA, addresses noisy discrete particle data via physics-informed neural networks with sparse regression…