Convergence of the backward Euler method for nonlinear Maxwell equations
Durand, Stephane, Slodicka, Marian
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Using Drones for Large Mammal Monitoring
Drones were used to obtain video data on animals and locations and distance from the midline was automatically determined by our pipeline so that the input for Distance sampling is generated. ABSTRACT Introduction The emergence of drones has profoundly transformed the field of large mammal monitoring, offering unprecedented capabilities for data ...
Chaim Chai Elchik +4 more
wiley +1 more source
Numerical analysis of dispersion and elastic wave propagation in spatiotemporally modulated spring-mass metamaterials. [PDF]
Liao SC, Ko CC, Chang IL.
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Transient thermal modelling of green anode cooling in the aluminium industry
Summary of the methodology. Abstract Anodes, which are used in electrolytic aluminium production, are made by mixing dry aggregate (petroleum coke, rejected anodes, and butts) with coal tar pitch, compacting the resulting paste (green anode), and baking (baked anode). After compaction, the anodes are cooled to maintain their structural integrity before
Mohammadhossein Dabaghi +2 more
wiley +1 more source
A review of aeroelastic instabilities and resonance effects in wind turbine blade dynamics. [PDF]
Saram MU, Yang J.
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Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
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Nonlinear vibration behavior of self-sustaining CNT nanobeams under thermo-magnetic fields: surface energy insights for advanced sports applications. [PDF]
Hadj Lajimi R +7 more
europepmc +1 more source
CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
Training stiff neural ordinary differential equations with implicit single-step methods. [PDF]
Fronk C, Petzold L.
europepmc +1 more source
Back‐Propagating Earthquake Rupture Controlled by Fluid‐Modulated Effective Normal Stress
Abstract Back‐propagating earthquake rupture (BPR), where slip migrates opposite to the main rupture direction, is observed in several earthquakes but its origin remains poorly understood, particularly the role of fluids. We use dynamic simulations of frictional sliding coupled with fluids to explore the mechanisms of BPR. Our simulations show that BPR
Jiayi Ye +2 more
wiley +1 more source

