Discovering and Understanding 2D Semiconductors with High Intrinsic Carrier Mobility at Room Temperature
Chenmu Zhang, Ruoyu Wang, Himani Mishra, Yuanyue Liu

TL;DR
This paper identifies new 2D semiconductors with significantly higher room-temperature carrier mobility through high-throughput screening and first-principles calculations, advancing materials for next-generation electronics.
Contribution
The study introduces effective descriptors and computational methods to discover 2D semiconductors with high mobility, surpassing existing materials and enhancing understanding of carrier transport mechanisms.
Findings
Discovered 2D semiconductors with mobility an order of magnitude higher than current ones.
Attributed high mobility to factors like small effective mass and high sound velocity.
Provided new materials for high-performance electronic devices.
Abstract
Two-dimensional (2D) semiconductors have demonstrated great potential for next-generation electronics and optoelectronics. However, the current 2D semiconductors suffer from intrinsically low carrier mobility at room temperature, which significantly limits its applications. Here we discover a variety of new 2D semiconductors with mobility one order of magnitude higher than the current ones. The discovery is made by developing effective descriptors for high-throughput computationally screening of the 2D materials database, followed by using state-of-the-art first principles method to accurately calculate the mobility. Further analyses attribute their exceptional mobilities to small effective mass, high sound velocity, high optical phonon frequency, small ratio of Born charge vs. polarizability, and/or weak electron-phonon coupling. Our work opens up new materials to realize high device…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectronic and Structural Properties of Oxides · Machine Learning in Materials Science · Ga2O3 and related materials
