Machine Learning Becomes a Navigator for Designing Functional Materials
A new perspective article argues that machine learning serves functional materials research best as a practical navigator that prioritizes candidates ...
A new perspective article argues that machine learning serves functional materials research best as a practical navigator that prioritizes candidates ...
Researchers have demonstrated that the handedness of high-frequency chiral lattice vibrations in ferroelectric BaTiO3 membranes can be reversibly switched using ...
Kanazawa University researchers have developed a light-powered method that selectively breaks strong carbon–hydrogen bonds while leaving weaker carbon–silicon bonds intact—an ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine