2D memristors could help solve AI's energy problem
• New generations of memristors could reliably store information directly within the molecular structures of graphene-like materials • In a new review published in Nanoenergy Advan
2D
Atomically precise synthesis and simultaneous heterostructure integration of 2D transition metal dichalcogenides through nano-confinement
• Abstract Two-dimensional (2D) materials, such as graphene, transition metal dichalcogenides (TMDs) and hexagonal boron nitride, exhibit intriguing properties that are sensitive t