The organic electrochemical transistor (OECT) has emerged as the core component of
specialized bioelectronic technologies, such as neural interfaces and sensors of disease …

Microwave absorption materials (MAMs) are originally developed for military purposes, but
have since evolved into versatile materials with promising applications in modern …

Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it
demands advances—at the materials, devices and systems levels—for the efficient …

Hydrogen is considered a clean and efficient energy carrier crucial for sha** the net-zero
future. Large-scale production, transportation, storage, and use of green hydrogen are …

This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …

High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional
mechanical properties and the vast compositional space for new HEAs. However …

Impurity do** is a promising method to impart new properties to various materials. Due to
their unique optical, magnetic, and electrical properties, rare-earth ions have been …

Deep learning (DL) is one of the fastest-growing topics in materials data science, with
rapidly emerging applications spanning atomistic, image-based, spectral, and textual data …

We review the GPAW open-source Python package for electronic structure calculations.
GPAW is based on the projector-augmented wave method and can solve the self-consistent …

New tools enable new ways of working, and materials science is no exception. In materials
discovery, traditional manual, serial, and human-intensive work is being augmented by …