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Discovered: An easier way to create "flexible diamonds"

A team of scientists led by Samuel Dunning has developed an original technique to predict and guide the ordered creation of strong, yet flexible, diamond nanothreads. The innovation allows for easier synthesis of the material, which has potential applications in space elevators, ultra-strong fabrics, and other fields.

SourceCarnegie Institution for Science·JournalJournal of the American Chemical Society·TypeExperimental study·DateMar 2, 2022

Is your ML training set biased? How to develop new drugs based on merged datasets

Researchers at GlaxoSmithKline and CCDC combined proprietary and published datasets to train machine learning models for predicting stable polymorphs in new drug candidates. The approach leverages the large volume and variety of data in the Cambridge Structural Database, resulting in more confident predictions and improved model accuracy.

The Gwangju Institute of Science and Technology study examines thin film surface symmetries

Researchers at GIST develop a non-contact, nondestructive approach to characterize crystal structures in thin films, shedding light on surface symmetries in SrRuO3. The technique offers a platform for structural characterization of surfaces and interfaces using optical techniques.

SourceGIST (Gwangju Institute of Science and Technology)·JournalApplied Surface Science·TypeExperimental study·DateAug 11, 2021