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 ...

In today’s world where science and engineering depend on the simulation of new materials and their behavior is of critical importance. New materials are constantly being designed and brought into ...

In an effort to monitor biodiversity trends, greater efforts are being made worldwide to assess biodiversity patterns over ...

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 ...

Researchers have developed a free, user-friendly tool that makes use of multiple computational models to help solid waste systems achieve their environmental goals in the most cost-efficient way ...

May 22 (UPI) --An artificial intelligence model developed by NASA, IBM Research and the Oak Ridge National Laboratory will support improved local and regional weather and climate models. The ...

A machine learning tool developed by researchers at Carnegie Mellon University's Robotics Institute (RI) could potentially allow beginner and professional designers to create 3D virtual models of ...

2024 - Bristol-Meyers Squibb was awarded for “PMI Prediction and Bayesian Optimization: Two Tools with One Goal Towards the Development of ‘Greener-by-Design’ Synthesis of APIs” Read more about BMS’s ...