Formal methods represent a rigorous suite of mathematical techniques designed to specify, develop and verify system models with a high degree of reliability. In system modelling, these methods provide ...

Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...

This course gives an introduction to how to create genetic circuit models. These models leverage chemical reactions represented using the Systems Biology Markup Language (SBML). The second module ...

Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...

Physics simulations have a problem—engineers who need those simulations’ results often don’t have time to wait. Add in ...

With two NIH awards totaling more than $5 million, Ophelia Venturelli will explore how the human gut can respond to internal ...

While the concept of quantum computing has been discussed for more than 40 years, only recently have experiments indicated that a practical quantum computer may be possible. Recent developments in ...

Stanford researchers have developed a mathematical model to map the microscopic structure of materials to plan nuclear waste storage.

The Gulf of Mexico, a regional ocean, is hugged by the southeastern United States and a large stretch of the Mexican coast, ...

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...

Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...