Characterization (materials science)

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

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

Data-Driven Exploration of Critical Factors for Single-Phase High-Entropy Oxide Anode Materials