Launching a materials informatics initiative for industrial applications in materials science, chemistry, and engineering

Review Materials Science, Multidisciplinary

Machine learning in polymer informatics

Wuxin Sha et al.

Summary: Polymer informatics, utilizing machine learning models based on reliable data, accelerates performance prediction and process optimization of new polymers, opening up new possibilities for the development of polymer science and engineering.

INFOMAT (2021)

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Article Biochemistry & Molecular Biology

PubChem in 2021: new data content and improved web interfaces

Sunghwan Kim et al.

Summary: PubChem, a popular chemical information resource, has made substantial improvements in the past two years by adding data from over 100 new sources, updating its homepage and record pages, introducing new services like the Periodic Table and Pathway pages, and creating a special data collection related to COVID-19 and SARS-CoV-2 in response to the pandemic.

NUCLEIC ACIDS RESEARCH (2021)

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Review Nanoscience & Nanotechnology

Emerging materials intelligence ecosystems propelled by machine learning

Rohit Batra et al.

Summary: The age of cognitive computing and artificial intelligence is emerging, with AI ecosystems flourishing in materials science and engineering. Machine learning algorithms are utilized to create surrogate models of materials properties, transforming the computational and physical laboratory infrastructural landscapes. Integration of various ML landscape parts may lead to materials-savvy digital assistants and human-machine partnerships for efficient materials screening and discovery.

NATURE REVIEWS MATERIALS (2021)

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Review Chemistry, Multidisciplinary