How to Accelerate R&D and Optimize Experiment Planning with Machine Learning and Data Science

Accelerating R&D is essential to address some of the challenges humanity is currently facing, such as achieving the global sustainability goals. Today’s Edisonian approach of trial-and-error still prevalent in R&D labs takes up to two decades of fundamental and applied research for new mate...

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Bibliographic Details
Main Authors: Daniel Pacheco Gutierrez, Linnea M. Folkmann, Hermann Tribukait, Loïc M. Roch
Format: Article
Language:deu
Published: Swiss Chemical Society 2023-02-01
Series:CHIMIA
Subjects:
Online Access:https://www.chimia.ch/chimia/article/view/6267