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.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

Data from five Olympic seasons shows how February breaks affect NHL scoring, with Olympians and non-Olympians impacted differently late in the year. We did in-depth research to find out which teams ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...