Advanced Institute of Materials Science

Coulomb Blockade in Graphene Nano-islands Formed by Direct CVD Growth on Si/SiO 2 Substrate

Graphene nano-islands (GNIs) are promising building blocks for quantum devices owing to their unique potential. However, direct electrical measurements of GNIs have been challenging due to the requirement of metal catalysts in typical synthesis methods. In this study, we demonstr...

Multi‐Biomimetic Structural Colors Inspired by Pearls and Bird Feathers

ABSTRACT One‐dimensional photonic crystals (1D PCs) enable precise control of light–matter interactions and display stable structural colors. However, their optical performance critically depends on strict periodicity and nanometer‐scale control of thickness, necessitating comple...

Progress in deformation mechanisms and emerging functionalities of metastable β titanium alloys: Insights from advanced characterizations

Metastable β titanium alloys, characterized by diverse microstructural evolution due to a high content of β stabilizers, offer great potential for achieving high multifunctionality, such as excellent strength and ductility combination, biocompatibility, superelasticity, shape mem...

Redefining Carbon Electrodes as Hierarchically Designable Reaction Fields for Electrochemical Biosensing

Electrochemical biosensors based on carbon materials have achieved remarkable sensitivity, yet carbon electrodes are still often treated as black-box conductive supports. In this perspective, we redefine carbon materials as hierarchically designable reaction fields in which defec...

Digital hydrogen platform (DigHyd): a rigorously curated database for hydrogen storage materials empowered by AI-assisted literature mining

Solid-state hydrogen storage materials are promising candidates for safe and compact hydrogen storage; however, data-driven discovery in this field remains limited by the availability of large-scale, well-curated datasets. Here, we present the Digital Hydrogen Platform (DigHyd: w...

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

ABSTRACT Artificial intelligence (AI) is transforming materials discovery, yet conventional data‐driven approaches often suffer from limited interpretability, poor extrapolation, and inconsistency with physical laws. Since materials behavior is fundamentally governed by thermodyn...

An orbifold framework for classifying layer groups with an application to knitted fabrics

Abstract Entangled structures, such as textiles and architected materials, are often doubly periodic. Owing to this property and their finite transverse thickness, the symmetries of these materials are described by the crystallographic layer groups. While orbifold notation provid...

Role of interfacial contact topology in reduction-dependent molten iron–slag dripping through coke-packed beds

Hydrogen-enriched blast furnace operations change the reduction state and composition of dripping slag; however, its effects on coupled iron–slag flow through coke-packed beds remain insufficiently quantified. Therefore, dynamic multiphase simulations were performed for molten ir...