The workshop’s third panel, moderated by planning committee member Teresa Clement, Raytheon, dealt with post-additive processes, with a specific focus on dimensional accuracy, part quality, and ...

The integration of data analytics into investment strategies and all the related processes has become more than just a trend. It's a necessity. The reliance on intuition and personal networks is being ...

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.

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

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

Demonstrating the applicability of αη across a diverse range of systems. These include a canonical dynamical system (Rössler attractor), simulation data for slow earthquakes (spring-slider system), a ...

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 ...

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 ...

All humans need clean water to live. However, purifying water can be energy-intensive, so there is great interest in improving this process. Researchers at Tohoku University have reported a strategy ...