Periodical (Journal)

ISSN  :   2635-098X ( Online )   Active

Journal Digital Discovery

Aim & Scope

A quickly developing trend towards greater automation and sophistication of machine learning demonstrates that computational research is key to accelerating all areas of science. Digital Discovery publishes top research at the intersection of chemistry, materials science and biotechnology. Blurring the barriers between computation and experimentation, we focus on the integration of digital and automation tools with science, putting data first to ensure reproducibility and faster progress. [1]

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