SLayerGen generates crystals invariant to any space or layer group via autoregressive lattice and Wyckoff sampling plus equivariant diffusion, achieving gains over bulk models on diperiodic materials after correcting a prior loss inconsistency for hexagonal groups.
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10 Pith papers cite this work. Polarity classification is still indexing.
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Sub-Alfvénic MHD simulations with projection effects reproduce the range of observed polarization (μ, σ) values in Orion ISF, showing these statistics alone cannot constrain the 3D Alfvén Mach number.
ASKAP J174508.9-505149 is classified as an accreting cataclysmic variable white dwarf binary with a 1.3 h orbital period, modulated X-ray emission, and drifting polarized radio bursts.
A structure-preserving upwind DG scheme with convex splitting for the Cahn-Hilliard-Darcy tumor growth model that maintains mass conservation, pointwise bounds, and a discrete energy law.
Thermal-crystal plasticity simulations combined with dynamic mode decomposition show that thermal stress responses under cyclic loading can be compactly represented as superpositions of frequency-dependent temporal modes.
OPTICAM-ARG is a three-channel optical camera design for the Jorge Sahade Telescope that delivers simultaneous blue-green-red imaging over an 8.4 arcmin field of view per channel with aberration mitigation via dichroic wedges.
A novel linear upwind DG method for local and nonlocal chemotaxis models with nonlinear diffusion, attraction/repulsion, logistic growth and damping that preserves positivity and prevents numerical blow-up.
NeuXtalViz is a new Python-based interactive 3D visualization and analysis tool for single-crystal neutron diffraction built on the Mantid framework.
SKAO will enable detection of synchrotron emission from prestellar cores to probe their magnetic field properties in nearby star-forming regions.
pyforce-1.0.0 is a Python framework for data-driven reduced order modeling of multi-physics problems, rewritten with a pyvista backend for mesh handling and VTK compatibility.
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On a linear DG approximation of chemotaxis models with damping gradient nonlinearities
A novel linear upwind DG method for local and nonlocal chemotaxis models with nonlinear diffusion, attraction/repulsion, logistic growth and damping that preserves positivity and prevents numerical blow-up.