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

The Materials Computation and Informatics Group, led by Hoeganaes Endowed Assistant Professor of Powder Metallurgy Yong-Jie Hu, focuses on computational materials science, with emphasis on modeling ...

Many R&D leaders who embark on a digital transformation path confront a common dilemma: should they install an Electronic Lab Notebook (ELN), a Laboratory Information Management System (LIMS), or a ...

The development of new materials has been booming in recent years, driven by innovations in aerospace, medical, and 3D printing applications. According to TrendFeedr, the materials sector is leading ...

The battery industry is facing increasing pressure to develop new chemistries and materials to keep up with rising energy density and sustainability demands. The traditional materials discovery ...

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The ability to develop new materials and bring them to market ever faster is an obvious goal. There continues to be countless developments that improve chemistry and materials science R&D, but perhaps ...

TOKYO--(BUSINESS WIRE)--Enthought, a company powering digital transformation for science, today announced that Resonac, a Japanese functional chemical manufacturer, has expanded its adoption of ...

Materials informatics revealed new information on the structure-property relationship in OIPCs, enabling the discovery of new compounds with high ionic conductivities. The surge in the adoption of ...

The material informatics industry has seen a growing need for advanced AI technology to streamline research processes and achieve cost-savings. Polymerize’s proprietary AI models, have been proven to ...

Kyumatic is composed of functions such as machine learning, quantum chemistry calculation, generation of a large number of candidate molecules, and analysis of experimental data. Kyumatic can be used ...