Latest Articles for Band Gaps

Machine learning improves predictions of band gaps, enhancing material electronic property insights.

MXenes show promise as photocatalysts for efficient hydrogen production using sunlight.

Explore how temperature and electric fields affect HgCdTe's behavior in infrared applications.

New hybrid systems using spin waves and skyrmions promise efficient computing.

Examining wave behavior in unique materials for technological applications.

Research reveals how strain alters TaNiS semiconductor properties.

Examining the structure and function of one-dimensional photonic crystals.

Research reveals promising 2D ferroelectric materials for future electronics.

This study investigates how strain affects the electronic properties of monolayer MoS.

Researchers leverage AI to improve materials modeling through a new deep learning approach.

DyTe's tellurium vacancies influence its electrical behavior and potential in electronics.

Research focuses on controlling light using cholesteric liquid crystals in microcavities.

Research reveals the magnetic and electronic traits of Cs Co S for future tech.

Research identifies new organic materials for improving perovskite solar cell performance.

Examining flat bands and their role in improving superconductors.

New methods enhance light control in photonic crystals for better technology.

BMach algorithm improves accuracy in predicting electronic properties of materials.

This study delves into the unique electronic features of Ta NiSe at low temperatures.

A study on the properties and potential applications of specific clinopyroxenes.

Ba K BiO reveals unique properties critical for understanding superconductivity.

New findings challenge established theories on TiSe2's phase transition behavior.

mBLOR functional enhances Density Functional Theory for better material predictions.

Research highlights the unique behavior of layered PtSe in electronics.

Researchers develop materials that adapt sound properties in real time.

Research reveals how specific ions can improve perovskite solar panel efficiency.

Research reveals thorium's potential in improving timekeeping accuracy.

Research reveals promising electronic and spin properties in WCOX Janus MXenes.

New materials efficiently reduce noise while allowing airflow in urban environments.

This research investigates the impact of system size on electronic properties using advanced methods.

Understanding FAPbI's structural properties enhances solar cell efficiency and design.

This study examines the electronic behavior of BiSb thin films and their applications.

Research on sodalite-derived electrides reveals potential for new electronic materials.

Research highlights the tunable properties of MAPb(I Br) for solar energy applications.

This study examines the properties of EuCd X materials and their potential applications.

Exploring the potential of hydrogen as a sustainable energy source.

Researchers utilize deep learning to predict properties of photonic crystals efficiently.

Researchers use machine learning to speed up the discovery of new materials.

Researchers study how temperature affects silver chalcohalides for energy applications.

A new model revolutionizes how we predict material properties.

Small bismuth additions to semiconductors lead to significant technological advancements.