Perovskite materials are a class of materials that have a common crystal structure and diverse properties. They can be used for various applications, such as solar cells, light-emitting diodes, lasers, catalysis, and sensing. Perovskite design and discovery involves finding the optimal composition, structure, and morphology of perovskite materials to achieve the desired performance. Machine learning is a powerful tool that can assist perovskite design and discovery by analyzing large amounts of data, extracting useful features, building predictive models, and optimizing solutions.
Nowadays, Perovskite issues are one of the famous fields in scientific research and many groups need an artistic technique or software to illustrate perovskite structures for their papers or conference presentation. In this article, we discuss perovskite design and applicable software.
Software for perovskite design and Illustration
There are three types of illustration techniques for showing perovskite structures:
1) Designing by 2D software
Some software like Adobe Illustrator or Corel Draw are usable for 2D illustration and if the perovskite structures create with this type of software, the outputs are vector-based with high-quality and sharp colors. Usually, scientific illustrators use it for graphical abstracts or article figures, however, it can be applied to journal covers in some structures.