We present a new approach to exoplanet characterization using techniques from complexity
science, with potential applications to biosignature detection. This agnostic method makes …

Stochastic processes are as ubiquitous throughout the quantitative sciences as they are
notorious for being difficult to simulate and predict. In this Letter, we propose a unitary …

Accurately determining dependency structure is critical to understanding a complex system's
organization. We recently showed that the transfer entropy fails in a key aspect of this …

The principle goal of computational mechanics is to define pattern and structure so that the
organization of complex systems can be detected and quantified. Computational mechanics …

Erwin Schrödinger famously and presciently ascribed the vehicle transmitting the hereditary
information underlying life to an 'aperiodic crystal'. We compare and contrast this, only later …

This chapter is dedicated to explore among different post-GOFS systemic properties of
different nature like ones considered above and based on the concepts of quasi already …

The application of the Shannon entropy to study the relationship between information and
structures has yielded insights into molecular and material systems. However, the difficulty in …

Loosely speaking, the Shannon entropy rate is used to gauge a stochastic process' intrinsic
randomness; the statistical complexity gives the cost of predicting the process. We calculate …

Details of the validation of disorder modelling with Hirshfeld atom refinement (HAR) for a
previously investigated organo-gold (I) compound are presented here. The impact of refining …

Programmable active matter (PAM) combines information processing and energy
transduction. The physical embodiment of information could be the direction of magnetic …