This workshop will explore opportunities to use statistical and data-driven methods for additive manufacturing qualification, including approaches that enhance dimensional accuracy and recent advances ...

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 ...

As the demand for faster and more affordable mobile connectivity grows, so does the challenge of ensuring that networks can keep up – both in performance and profitability. A new technical paper ...

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

Researchers tested a strategy for developing single-atom catalysts that may help us develop more efficient methods for water purification. All humans need clean water to live. However, purifying water ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Through his data-driven approach, Samuel delivered $2 million in incremental annual revenue — a remarkable 15% boost to the ...

A recent study published in Advanced Sustainable Systems introduced a data-driven method for designing better electrolytes for lithium metal batteries (LMBs). The framework combines computer ...

Many organizations today are overwhelmed by vast amounts of data from diverse sources, such as consumer interactions, market trends and operational processes. Mastering data management and analysis is ...