An approach based on the average trajectory of moving particles allows for the quantification of the mechanics of living systems, namely, the non-equilibrium energy and viscoelastic properties of cells, in a non-invasive manner. Till M. Muenker ...
has garnered significant interest over centuries. This work explores a class of capillary waves traveling on the plastron of underwater superhydrophobic surfaces, hence the name “plastronic waves”, with extraordinary fast propagation speed and applications for monitoring microscale gas layer stability....
This school is the 62nd in the series organized at the Culham Campus in Oxfordshire, a leading site for research in plasma physics and controlled nuclear fusion carried out under the auspices of the UK Atomic Energy Authority. The aim of the Summer School is to provide an introduction to the...
This topic covers “Work, Energy & Power” of O Level Physics (Equivalent to American high school diploma). From the energy conversions in an oscillating ideal pendulum to the dynamics of a bouncing ball, discover the science behind these fascinating phenomena. The concise journey also touches ...
Physics 12 Lesson Notes on Work, Energy and Power. When a force acts upon an object to cause a displacement of the object, it is said that work was done upon the object. There are three key ingredients to work: force, displacement, and cause. In order for a force to qualify as havin...
Master Class 11 Physics And Be Successful in exams. Here find Notes, assignments, concept maps and lots of study material for easy learning and understanding.
and graviton amplitudes in position space at. We discuss the UV/IR behaviours of Carrollian amplitudes and investigate their collinear limit, which allows us to define a notion of Carrollian OPE. By smearing the OPE along the generators of null infinity, we obtain the action of the celestial ...
work convolution modules are constructed for given sets of distributions that generate distributional convolution algebras. Convolutional inversion of fractional equations leads to a broad class of multinomial Mittag-Leffler type distributions. A comprehensive asymptotic analysis of these is carried out. ...
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Diffusion methods are widely used for generating data in AI applications. Here, authors show that optimally trained diffusion models exhibit three dynamical regimes: starting from pure noise, they reach a regime where the main data class is sealed, and finally collapse onto one training point. ...