Symmetry-aware recursive image similarity exploration for materials microscopy

a) Map of reflectivity change with time and probe energy; (b) Spectral

Symmetry-aware recursive image similarity exploration for materials microscopy

Novel Machine Learning Technique To Identify Structural Similarities and Trends in Materials

Machine learning-based prediction and inverse design of 2D metamaterial structures with tunable deformation-dependent Poisson's ratio - Nanoscale (RSC Publishing) DOI:10.1039/D2NR02509D

Novel Machine Learning Technique To Identify Structural Similarities and Trends in Materials

Scientists create artificial neural networks that detect symmetry and patterns

Revealing ferroelectric switching character using deep recurrent neural networks

Publications – M3-Learning

Manipulating Ferroelectrics through Changes in Surface and Interface Properties

Machine learning-based prediction and inverse design of 2D metamaterial structures with tunable deformation-dependent Poisson's ratio - Nanoscale (RSC Publishing) DOI:10.1039/D2NR02509D

Manipulating Ferroelectrics through Changes in Surface and Interface Properties

Chemical Phenomena of Atomic Force Microscopy Scanning