High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

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 ...

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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 ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

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 ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

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 ...

The pursuit of a lower input, higher outcome, flock led Tom Basnett to cull 50 per cent of his ewes and rams in 2025 at Woodbine, Gunning. The Bogo-blood ewes were given the highest quality pastures, ...