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Abstract: In this talk, we discuss the construction of admissible, physics-consistent and identifiable stochastic models for uncertainty quantification. We first consider a continuum mechanics setting ...
In quantum mechanics, the Heisenberg uncertainty principle dictates that the position and speed of an object cannot both be known fully precisely at the same time. Researchers now show that two ...
When a guitar string is plucked or a playground swing is set in motion, the movement gradually fades away. Physicists call these “damped harmonic oscillators,” and Newton’s laws do a fine job of ...
An international research team led by Robert Ott and Hannes Pichler has developed a novel architecture for quantum processors that is specifically designed for simulating fermions—particles such as ...
Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems.
A new study suggests a potential common cause: we have misunderstood the physics on other objects of the Solar System, and the complexity of their surfaces.