Field dossier · from the corpus
Characterization (materials science)
1predicted collisions
Where this field is predicted to collide
Most cited work
Machine learning for molecular and materials science
Metal Catalysts for Heterogeneous Catalysis: From Single Atoms to Nanoclusters and Nanoparticles
Heterogeneous single-atom catalysis
Mechanical properties of graphene and graphene-based nanocomposites
Characterization techniques for nanoparticles: comparison and complementarity upon studying nanoparticle properties
Nanoparticle classification, physicochemical properties, characterization, and applications: a comprehensive review for biologists
Recent work · 2024 onward
Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances
Carbon dots meet artificial intelligence: applications in biomedical engineering
Deep learning-driven innovation in metallic materials: A comprehensive review on microstructure analysis, property prediction, and inverse design
Microstructure-aware Bayesian materials design
Multiscale modeling of graphene and carbon nanostructures: advances in atomistic, coarse-grained, and machine learning approaches
Materials Informatics Framework for Accelerated Discovery of High-Refractive-Index 2D Materials