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 ...

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Predictive modeling compound prioritization has become a central strategy in modern drug discovery, enabling researchers to triage large chemical libraries with increased precision. As compound ...

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...

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 ...

Two-dimensional (2D) perovskites are increasingly recognized as promising candidate materials for the next generation of ...

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 ...

ALSO CANCELED OR SCHEDULED AN EARLY RELEASE. MANY STATES ACROSS THE COUNTRY WILL SEE THE ECLIPSE, BUT IT WILL NOT LOOK EXACTLY THE SAME EVERY WHERE. THE APPEARANCE OF THE ECLIPSE WILL BE ROTATED, ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...