In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Since the beginning of the industrial age, material performance and design have been in the
midst of innovation of many disruptive technologies. Today's electronics, space, medical …

Quantum many-body systems subjected to unitary evolution with the addition of interspersed
measurements exhibit a variety of dynamical phases that do not occur under pure unitary …

The issue of distribution shifts is emerging as a critical concern in graph representation
learning. From the perspective of invariant learning and stable learning, a recently well …

Existing multi-agent reinforcement learning methods are limited typically to a small number
of agents. When the agent number increases largely, the learning becomes intractable due …

The organization of the genome in the nucleus and the interactions of genes with their
regulatory elements are key features of transcriptional control and their disruption can cause …

Quantum and classical physics can be used for mathematical computations that are hard to
tackle by conventional electronics. Very recently, optical Ising machines have been …

Over the last two decades, computational methods have made tremendous advances, and
today many key properties of lithium-ion batteries can be accurately predicted by first …

Metal nanoparticles contain the active sites in heterogeneous catalysts, which are important
for many industrial applications including the production of clean fuels, chemicals and …

For a number of years, we have been exploring the underpinnings of algorithms for
simulating molecular dynamics from a mathematics perspective, ie as outsiders. We have …