Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Computable model theory investigates the algorithmic aspects of model theoretic structures, aiming to delineate the boundaries between the computable and non-computable within various algebraic and ...

Logical Systems and Model Theory constitute a foundational area bridging mathematics, computer science and philosophy through the formalisation of reasoning. By abstracting the essential components of ...

Research teams on both sides of the Atlantic have shown that precise modeling of the universe and its contents will change the detailed understanding of the evolution of the universe and the growth of ...

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

An obscure theory of elementary particles proved to be key to China’s re-emergence as a scientific nation after the Cultural ...