New technique uses a modified aperture and clever diffraction pattern analysis to measure deformations below the nanometer level with an electron microscope.
Model-free and machine learning based technique generates and compares libraries of “force fingerprints” to probe specific questions with high volumes of atomic force microscopy data.
Particle simulations of a dust-infused plasma show how friction affects the motion of dust particles in the plasma and highlight regimes that are most affected by dissipation.
A quadrupole magnet arrangement with an inherent asymmetry traps two charged silica microspheres, creating a model of a diatomic molecule.
Researchers demonstrate the first wavelength-tunable photoluminescence from N-polar InN quantum dots from 1.00 µm to longer than 1.55 µm.
A new paper provides a comprehensive mathematical framework for quasi-locality in quantum lattice systems.
Researchers used high-speed cameras to study how falling droplets deform liquid surfaces and developed new numerical model describing the process.
New types of on-chip integrated photonic circuits using heterostructures involving hexagonal boron nitride could have large impact in communications technology.
Authors summarize mathematical modeling strategies used to design and analyze multi-organ microphysiological systems.
Researchers have developed a new computational method for minimizing the number of observers necessary for determining the source of diffusion processes in cyber-physical systems.
Nonlinear dynamics shows hysteresis in first-order transitions in both Gaussian and uniform disorder.
Researchers gain insights on global climate phenomena by studying the effects of sea-surface temperature on precipitation patterns at varying timescales.
A diaphragmless, automated shock tube could advance the study of high-temperature, gas-phase chemical reaction kinetics.