Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of training data and demonstrated its effectiveness in materials research. The ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery and ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

At Northwestern University, our first-of-its-kind materials science department collaborates extensively with our leading mechanical engineering department, resulting in a strong history of ...

Below is a summary assembled by the Research & Innovation Office (RIO). Please see the full solicitation for complete information about the funding opportunity. Materials Innovation Platforms (MIP) is ...

The graduate programs in materials science and engineering from Drexel Engineering engage you in learning and research at the forefront of materials science. Students graduate prepared for careers in ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

The graduate program in materials science and engineering from Drexel Engineering deepens skillsets and knowledge to enhance your academic qualifications and skills to advance careers in this ...