Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

Within the Aerospace Mechanics Research Center in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, the UQ and Data-driven lab is led by Professor Alireza Doostan ...

This is a preview. Log in through your library . Abstract Future climate projections require Earth system models to simulate conditions outside their calibration range. It is therefore crucial to ...

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

Businesses have relied on experiences and intuition-based decisions from senior leaders for growth for decades. These methods, while still being highly valuable, have been augmented by data-driven ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Although artificial intelligence (AI) and machine learning (ML) are hot buzz words in science today, much more work could be done in applying these techniques to bioprocessing. Harini Narayanan, PhD, ...