logo
ResearchBunny Logo
Prediction of protected band edge states and dielectric tunable quasiparticle and excitonic properties of monolayer MoSi₂N₄

Engineering and Technology

Prediction of protected band edge states and dielectric tunable quasiparticle and excitonic properties of monolayer MoSi₂N₄

Y. Wu, Z. Tang, et al.

Discover the groundbreaking research by Yabei Wu, Zhao Tang, and colleagues on MoSi₂N₄, a promising 2D semiconductor with stable band edge states resilient to environmental factors. This study reveals how its tunable properties and moderate band gap may pave the way for innovations in energy, 2D electronics, and optoelectronics.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials
Engineering and Technology

Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials

M. Dai, M. F. Demirel, et al.

Understanding the impact of heavy ions and tailoring the optical properties of large-area monolayer WS<sub>2</sub> using focused ion beam
Physics

Understanding the impact of heavy ions and tailoring the optical properties of large-area monolayer WS<sub>2</sub> using focused ion beam

F. Sarcan, N. J. Fairbairn, et al.

Observation of flat band, Dirac nodal lines and topological surface states in Kagome superconductor CsTi₃Bi₅
Physics

Observation of flat band, Dirac nodal lines and topological surface states in Kagome superconductor CsTi₃Bi₅

J. Yang, X. Yi, et al.

Monkeypox outbreaks in the context of the COVID-19 pandemic: Network and clustering analyses of global risks and modified SEIR prediction of epidemic trends
Medicine and Health

Monkeypox outbreaks in the context of the COVID-19 pandemic: Network and clustering analyses of global risks and modified SEIR prediction of epidemic trends

S. Luo, Jg, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny