diff --git a/README.md b/README.md index 4745a05..d368a75 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,28 @@ -# Modeling Elastic Properties of 2D-based Materials and Heterostructures -First-principles calculated elastic and mechanical properties of 2D materials and their heterostructures. +# First-Principles Design and Calculation of Elastic and Mechanical Properties of 2D Materials and Their Heterostructures -In this project, we have used our recently developed ElasTool toolkit see code at https://github.com/zhongliliu/elastool with VASP as a calculator to compute using first-principles computations, the zero temperature and finite temperature (300 K) elastic and mechanical properties of several two-dimensional materials and their heterostructures. We developed a Machine-Learning algorithm to establish a correlation between the various computed properties. +This repository hosts a computational research project centered on determining the elastic and mechanical properties of 2D materials and their heterostructures, both at zero and finite temperatures. We leverage the capabilities of **ElasTool**, a specialized toolkit we developed, in conjunction with **VASP**, for computation. +Our primary objective is to characterize the elastic behavior of 2D materials, delivering critical insights into their mechanical properties. As a secondary aim, we've developed a machine learning model to discern the role of various structural attributes in defining the lattice constants of different 2D-based architectures. + +To ensure the project's efficacy, we've implemented several optimization strategies: +- We have carefully chosen a set of 2D materials and heterostructures, concentrating on those with significant practical relevance. This approach maximizes computational efficiency and enhances the practical applicability of the results. +- We employ parallel computing methods to speed up the computations, effectively distributing the computational workload across multiple processors or nodes. +- We have developed and utilized machine learning models to gain deeper insight into the data and identify key design parameters, thereby boosting the project's overall capabilities. + +## ElasTool + +**ElasTool** is an integral part of this project. Available on GitHub, it provides the necessary tools and functions to conduct the computations using VASP as the calculator. + +## Project Objectives + +This research project seeks to fulfill two primary objectives: + +1. To determine the elastic and mechanical properties of various 2D materials and their heterostructures using first-principles computations. These calculations consider two conditions: zero temperature and finite temperatures (specifically, 300 K and 600 K). We employ density functional theory for zero-temperature calculations and ab-initio molecular dynamics for finite-temperature simulations. + +2. To establish a machine learning model that correlates the calculated properties with the materials' crystal structures. This model leverages information derived from first-principles computations to shed light on the relationship between structural features and the elastic and mechanical properties of 2D materials and their heterostructures. + +## Publication + +The outcomes of this project have been published in Nature Scientific Reports. You can access the publication via the following link: [DOI: 10.1038/s41598-022-07819-8](https://www.nature.com/articles/s41598-022-07819-8). Kindly reference any research output that utilizes the ElasTool and the associated data in your research and related activities. + +In conclusion, this repository presents a valuable resource for researchers interested in examining the mechanical properties of 2D materials and utilizing the provided tools and methodologies.