A novel method for engineering anisotropic behavior and light-matter interaction of monolayer MoS2 by fusing it with a one-dimensional (1D) AlGaAs nanowire (NW) has been presented.
In the last five years, the discovery and significant interest in twisted bilayer graphene gave rise to an entirely new subfield in advanced materials science and quantum physics: twistronics. In a new study, scientists apply machine learning algorithms to discover more about this remarkable phenome
Researchers demonstrated the feasibility of using vertically stacked graphene-tungsten disulfide-graphene van der Waals heterostructure-based field-effect tunneling transistors to achieve highly tunable carrier tunneling.
Two-dimensional materials are interesting since they are atomic layer thin films that may be electrically pushed into vibration and function as nano-electromechanical resonators (NEMS) with characteristic resonance frequencies exceeding 100 MHz and typically ultrahigh quality characteristics at low temperatures.
Researchers developed a novel technique for automatically classifying the Raman spectra of twisted bilayer graphene (tBLG) into a variety of twist orientations using machine learning (ML).