Multiscale modeling is a computational approach that integrates information from different scales, such as atomic, molecular, and macroscopic levels. This technique allows scientists and engineers to understand complex systems by linking phenomena that occur at various scales, providing a more comprehensive view of materials and processes. By combining data from different levels, multiscale modeling can predict how changes at the microscopic level affect the overall behavior of a system. This is particularly useful in fields like materials science, biophysics, and chemical engineering, where understanding interactions across scales is crucial for innovation and development.