Advancing electrocatalyst discovery through the lens of data science: State of the art and perspectives. Journal of Catalysis , 2025; 447: 116162 DOI: 10.1016/j.jcat.2025.116162 Cite This Page : ...

Their findings, published in the International Journal of Data Science and Analytics, conclude this short-term forecasting method significantly outperforms conventional models for projecting COVID ...

In large enterprises, data governance is evolving to address the complexities of integrating advanced AI models. And at the technological frontier, neuromorphic computing is advancing the ...

Data science models, although successful in a number of commercial domains, have had limited applicability in scientific problems involving complex physical phenomena. Theory-guided data science (TGDS ...

Crunch numbers to the nth degree — and see what happens. When you study computer science and mathematics, you’ll use algorithms and computational theory to create mathematical models or define ...

Purpose. The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the ...

Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...