Metaphors, generalizations and unifications are natural and desirable ingredients of the
evolution of scientific theories and concepts. Physics, in particular, obviously walks along …

Representing robotic manipulation tasks as constraints that associate the robot and the
environment is a promising way to encode desired robot behaviors. However, it remains …

Earth's water, intrinsic oxidation state and metal core density are fundamental chemical
features of our planet. Studies of exoplanets provide a useful context for elucidating the …

The domain of validity of standard thermodynamics and Boltzmann-Gibbs statistical
mechanics is discussed and then formally enlarged in order to hopefully cover a variety of …

Many problems in statistics, finance, biology, pharmacology, physics, mathematics,
economics, and chemistry involve determination of the global minimum of multidimensional …

Nonextensive statistical mechanics is now a rapidly growing field and a new stream in the
research of the foundations of statistical mechanics. This generalization of the well-known …

The medial prefrontal cortex (mPFC) mediates a variety of complex cognitive functions via its
vast and diverse connections with cortical and subcortical structures. Understanding the …

Adiabatic protocols are employed across a variety of quantum technologies, from
implementing state preparation and individual operations that are building blocks of larger …

We developed DELPHI, a novel epidemiological model for predicting detected cases and
deaths in the prevaccination era of the COVID-19 pandemic. The model allows for …

We present hierarchical machine learning (hML) of highly accurate potential energy
surfaces (PESs). Our scheme is based on adding predictions of multiple Δ-machine learning …