Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Triboelectric sensors, derived from triboelectric nanogenerators, generate electrical signals
in response to mechanical stimuli. Its remarkable advantages of inherent self-powering, and …

Ising machines, which are hardware implementations of the Ising model of coupled spins,
have been influential in the development of unsupervised learning algorithms at the origins …

Ising machines based on analog systems have the potential to accelerate the solution of
ubiquitous combinatorial optimization problems. Although some artificial spins to support …

The exponential growth of the power of modern digital computers is based upon the
miniaturization of vast nanoscale arrays of electronic switches, but this will be eventually …

Gain-dissipative systems of various physical origin have recently shown the ability to act as
analogue minimisers of hard combinatorial optimisation problems. Whether or not these …

Chemical and molecular-based computers may be promising alternatives to modern silicon-
based computers. In particular, hybrid systems, where tasks are split between a chemical …

Tackling the increasing energy demand of our society is one of the key challenges today.
With the rise of artificial intelligence, information and communication technologies started to …

Ising machines based on analog systems have the potential of acceleration in solving
ubiquitous combinatorial optimization problems. Although some artificial spins to support …

The development of top-down active control over bottom-up colloidal assembly processes
has the potential to produce materials, surfaces, and objects with applications in a wide …