Unit for Mathematical and Computer Modeling of Complex Systems (UMMISCO) has the following research output in the current window (1 September 2024 - 31 August 2025) of the Nature Index. Click on Count ...

Kinetic theory and mathematical modeling have emerged as indispensable tools for elucidating the collective behaviour of complex systems. This discipline applies statistical mechanics to a diverse ...

A mystery novel, a history book, and a fantasy epic may have little in common in plot or style. But count the words inside ...

Ever better experimental techniques allow us to perform experiments under tightly controlled conditions and can deliver gigantic amounts of data reflecting the complexity of biology. This has vastly ...

Associate Professor in Social and Environmental Uncertainties, University of Birmingham A dominant view in science is that there is a mathematical truth structuring the universe. It is assumed that ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Complex systems such as metabolic pathways, ecosystems, the Internet, or human societies are comprised of large numbers of components that interact according to rules that change over time and that ...

Researchers demonstrate how mathematical modeling can be used to analyze the impact of different cancer treatments on tumor and immune cell dynamics and help predict outcomes to therapy and ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

OpenAI o1 is a new large language model trained with reinforcement learning to perform complex reasoning. o1 thinks before it answers—it can produce a long internal chain of thought before responding ...