Yu Liu

Yu Liu
Beijing Normal University at Zhuhai · International Academic Center of Complex Systems

Ph.D.
Building our team & lab.

About

17
Publications
2,021
Reads
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54
Citations
Introduction
My current two topics are: 1. How to describe and measure the complexity of life (including chemical molecules, gene sequences, etc.)? How does this type of complexity emerge /evolve from simplicity? 2. Apply the new theory that we have invented to describe complexity to the investigations of the modularity of gene sequences, and the evolution of neural networks, and also to the design of new drugs, etc.
Additional affiliations
August 2021 - present
Beijing Normal University at Zhuhai
Position
  • Professor (Associate)
July 2019 - July 2021
University of Glasgow
Position
  • Research Associate
September 2018 - December 2018
Institut Mittag-Leffler
Position
  • PostDoc Position
Education
August 2013 - March 2018
Uppsala University
Field of study
  • Applied Mathematics and Statistics
September 2010 - July 2013
Sichuan University
Field of study
  • Physics

Publications

Publications (17)
Preprint
p> The mathematical search of chemical space can generate an almost infinite number of molecules and it is hard to know which molecules are relevant experimentally. A way to explore the chemical space of known molecules as a function of their relative complexity might help us understand biological processes and find new relationships. Assembly the...
Article
Full-text available
The notion of information and complexity are important concepts in many scientific fields such as molecular biology, evolutionary theory and exobiology. Many measures of these quantities are either difficult to compute, rely on the statistical notion of information, or can only be applied to strings. Based on assembly theory, we propose the notion...
Preprint
The notion of information and complexity are important concepts in many scientific fields such as molecular biology, evolutionary theory, and exobiology. Many measures of these quantities, either rely on a statistical notion of information, are difficult to compute, or can only be applied to strings. Based on assembly theory, we propose the notion...
Article
The rule-based search of chemical space can generate an almost infinite number of molecules, but exploration of known molecules as a function of the minimum number of steps needed to build up the target graphs promises to uncover new motifs and transformations. Assembly theory is an approach to compare the intrinsic complexity and properties of mol...
Article
Full-text available
Background: The ability to self-sustain is one of the essential properties of life. However, a consistent and satisfying definition of self-sustainability is still missing. Currently, self-sustainability refers to either "no-intervention by a higher entity" or "regeneration of all the system's components". How to connect self-sustainability with he...
Article
A crucial question within the fields of origins of life and metabolic networks is whether or not a self-replicating chemical reaction system is able to persist in the presence of side reactions. Due to the strong nonlinear effects involved in such systems, they are often difficult to study analytically. There are however certain conditions that all...
Research
It presents an intuitive and novel algorithm for the shortest path problem, with an animation & detailed description & comparison with the classic Dijkstra's algorithm.
Article
Full-text available
Explaining the origin of life requires us to elucidate how self-replication arises. To be specific, how can a self-replicating entity develop spontaneously from a chemical reaction system in which no reaction is self-replicating? Previously proposed mathematical models either supply an explicit framework for a minimal living system or consider only...
Article
Full-text available
The golden ratio, ϕ = 1.61803…, has often been found in connection with biological phenomena, ranging from spirals in sunflowers to gene frequency. One example where the golden ratio often arises is in self-replication, having its mathematical origins in Fibonacci’s sequence for “rabbit reproduction”. Recently, it has been claimed that ϕ determines...
Data
Characteristic polynomial of a matrix. (PDF)
Preprint
Full-text available
Explaining origins of life requires us to explain how self-replication arises. Specifically, how can self-replicating entities develop spontaneously from chemical reaction systems in which no reaction is self-replicating? Previous models either supply a framework for minimal living systems or only consider catalyzed reactions, and thus fail to prov...
Preprint
Full-text available
Explaining the origin of life requires us to explain how self-replication arises. To be specific, how can a self-replicating entity develop spontaneously from a chemical reaction system in which no reaction is self-replicating? Previously proposed mathematical models either supply an explicit framework for a minimal living system or only consider c...
Data
Short video to explain the number soup model
Article
Full-text available
Explaining the origin of life requires us to explain how self-replication arises. To be specific, how can a self-replicating entity develop spontaneously from a chemical reaction system in which no reaction is self-replicating? Previously proposed mathematical models either supply an explicit framework for a minimal living system or only consider c...
Article
Full-text available
This paper is a follow-up work about the artificial ecosystem model: number soup (Liu and Sumpter, J. Royal Soc. Interface, 2017). It elaborates more details about this model and points out future directions.
Article
Full-text available
Community ecosystems at very different levels of biological organization often have similar properties. Coexistence of multiple species, cross-feeding, biodiversity and fluctuating population dynamics are just a few of the properties that arise in a range of ecological settings. Here we develop a bottom-up model of consumer-resource interactions, i...

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Projects

Projects (2)
Project
Investigate general properties of ecosystems.