Simulation-based engineering has been a major protagonist of the technology of the last
century. However, models based on well established physics fail sometimes to describe the …

Complex system simulation has been playing an irreplaceable role in understanding,
predicting, and controlling diverse complex systems. In the past few decades, the multi-scale …

Over recent years, the use of statistical learning techniques applied to chemical problems
has gained substantial momentum. This is particularly apparent in the realm of physical …

To derive the hidden dynamics from observed data is one of the fundamental but also
challenging problems in many different fields. In this study, we propose a new type of …

Recently developed neural network-based\emph {ab-initio} solutions (Pfau et. al arxiv:
1909.02487 v2) for finding ground states of fermionic systems can generate state-of-the-art …

Spark is a widely studied plasma source for active species production; however, it
experiences unstable transitions (eg to a thermal arc) at high frequencies or long pulse …

Some genes can promote or repress their own expressions, which is called autoregulation.
Although gene regulation is a central topic in biology, autoregulation is much less studied. In …

Autocatalysis and its relevance to various polymeric systems are discussed by taking
inspiration from biology. A number of research directions related to synthesis …

The rise of modern computer science enabled physical chemistry to make enormous
progresses in understanding and harnessing natural and artificial phenomena …

The expression of one gene might be regulated by its corresponding protein, which is called
autoregulation. Although gene regulation is a central topic in biology, autoregulation is much …