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Microbubble flows in superwettable fluidic channels
Materials metadata: as a custom schema, as directories, or in a data package
Machine Learning-Based Experimental Design in Materials Science
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
SuperMat: Construction of a linked annotated dataset from superconductors-related publ...
Structure prediction of boron-doped graphene by machine learning
MDTS: automatic complex materials design using Monte Carlo tree search
Prediction and optimization of epoxy adhesive strength from a small dataset through ac...
Automatic Experimental Data Collection System Using a Wireless LAN Capable SD Card as ...
Free Analysis and Visualization Programs for Electrochemical Impedance Spectroscopy Co...
Monte Carlo tree search for materials design and discovery
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
Liquid electrolyte informatics using an exhaustive search with linear regression
Examples of SQS (special quasirandom structure) models for arbitrary binary bcc (body ...
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The history of DICE and NIMS Digital Library
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Dieb, Thaer M.
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