Understand the distinctions between ELN, LIMS, and Materials Informatics to optimize your R&D digital transformation strategy with Citrine Informatics.

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 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 ...

Materials informatics represents the data revolution's impact on materials R&D. Data-centric approaches, including AI and machine learning, are transforming the way materials scientists and engineers ...

According to Towards ICT, the global materials informatics market size is calculated at USD 183.51 million in 2026 and is ...

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 ...

The MarketWatch News Department was not involved in the creation of this content. DELRAY BEACH, Fla., March 3, 2025 /PRNewswire/ -- The global material informatics market size is projected to grow ...

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 ...

SAN FRANCISCO, Sept. 19, 2024 (GLOBE NEWSWIRE) -- NobleAI, a pioneer in Science-Based AI solutions for Materials Informatics, has been named in Gartner’s recently released guide to the emerging ...

AMES, Iowa – Krishna Rajan of Iowa State University and the Ames Laboratory thinks there’s more to materials informatics than plotting a thick cloud of colorful data points. As he sees it, managing ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Citrine Informatics, the leading provider of artificial intelligence software for materials, chemicals, and manufactured product development, announced the ...

In this interview, Markus Buehler discusses MIT's Machine Learning for Materials Informatics course, its curriculum, and its impact on the broader materials science community, emphasizing the exciting ...