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 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 ...

TOKYO--(BUSINESS WIRE)--Enthought, a company that specializes in digital transformation of science-driven companies, today announced that integrated energy company Idemitsu Kosan Co., Ltd. (Idemitsu) ...

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 ...

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 ...

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 is transforming how materials companies approach R&D, bringing data-centric approaches, including AI and machine learning, to materials science to reduce costs and develop new ...

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 ...

Innovation has been the key to many challenging problems over the years, especially in the age of evolving industry landscapes. As companies in materials science and technology are moving data from ...

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 ...

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