Project CONAN2D of the Croatian Science Foundation

The CONAN2D project will explore the characteristics of nanotransistors based on new 2D materials discovered after graphene. The research group will develop an advanced simulation software for atomistic simulations and performance prediction of these nanotransistors. The developed software will pair two advanced methods: ab initio density functional theory (DFT) and quantum transport based on non-equilibrium Green's function formalism (NEGF). DFT provides the exact energy band structure with an atomistic resolution of materials, while NEGF inherently incorporates the quantum mechanical effects present in extremely scaled transistors. We will implement the simulator on a hybrid CPU-GPU platform with parallel execution to enable simulations on the computer cluster and on the university supercomputer. The developed tool will be used to investigate the influence of geometry, dimensions, materials in the gate stack, and crystal defects on the transistor characteristics. Design will be carried out, performance optimization possibilities explored, and defect-induced variability will be analyzed. The results of the research will answer the question of whether the selected materials are feasible and convincing alternatives to bulk silicon and other 2D materials for the next generations of semiconductor transistor technology.


  Project DOK-2020-01-7349 of the Croatian Science Foundation

The research work of the PhD student will fit into the planned activities of the CONAN2D project and will further expand the scope of the project by analyzing new nanoelectronic devices based on 2D materials. Namely, the research topic for this PhD student are memristors based on 2D materials that are projected for use in future neuromorphic integrated circuits. Using 2D materials, it is possible to achieve memristors less than 2 nm thick, which is a huge motivation for research and development of memristor neural networks based on a crossbar-array for on-chip artificial intelligence. The main objectives of the PhD project are to theoretically explain the memristor effect in selected nanostructures, to develop models and methods for atomistic numerical simulations, to design and analyze memristors, and to demonstrate the operation of neural network circuits based on such memristors.