In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

FSU College of Engineering and Florida State University’s Resilient Infrastructure and Disaster Response Center examined several types of flood models to highlight their strengths and weaknesses and ...

Many organizations are building generative AI applications driven by large language models (LLMs), but few are transitioning successfully from prototypes to production. According to an October 2023 ...

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 ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

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

In the digital world, companies often have data stored across multiple platforms and systems. They must then be able to successfully integrate and analyze this data if they want to make informed ...