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 execution ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

The changes in phase viscosity at the oil-brine interface due to surfactant addition are critical under practical reservoir conditions. This study develops a computational, data-driven model to ...

In the last decades, High Performance Computing (HPC) systems have accelerated scientific discoveries and innovations across different domains, from epidemic studies to climate science. For ...

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...

Therefore, the predictive accuracy of statistical models has so far only been demonstrated in a few data sets of limited size. In the current work, the scientists are investigating the potential of AI ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends a warning about unusual activity on an account, or a weather app predicts ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...

Overview: Data analysts focus on understanding past business performance through reporting, dashboards, and insights, while ...

A surge of AI and data science tools is set to transform clinical trial design, patient recruitment, and drug development efficiency, according to industry leaders ahead of the Biomed Israel ...

Through the integration of AI and elite data science, USAISEC will ensure the joint force remains ahead of transnational ...