Findings point to new crystal structures not commonly found during synthesis and unique electronic, optical and magnetic properties when materials are under hydrostatic pressure.
Computational fluid dynamics show coronavirus particle diffusion will vary within elevator cabins depending on respiratory events, passenger configuration and ventilation systems.
Machine-learning technique can infer long-term, stable behaviors from information about only one known attractor.
Findings in a mathematical model for cells in the pituitary gland highlight the role of certain potassium channels in electrical activity and hormone release.
Technique promises simple, accurate, affordable way to measure film thickness for industrial applications and fluid dynamics research.
A stepped, multilayer arrangement enhances the efficiency of photovoltaic panels compared to a single-layer arrangement.
Simulations show the role of uniform velocity in reducing shear stress along blood vessel walls, inducing cardiovascular disease.
Improvements in neuromorphic computers facilitated by 2D materials could contribute to further developments in artificial intelligence.
Systematic experiments demonstrate dynamics that differ from smooth surfaces and are driven by a layer of particles resisting spreading drops.
Manufacturing ammonia is a critical part of the global economy, requiring the development of renewable processes to replace current expensive and environmentally unfriendly ones.