Predicting new crystal structures

In summary, the conversation discusses the factors involved in predicting new crystal structures, particularly the chemical composition and its stability within a given crystal structure. Specific criteria such as the octet rule and thermodynamics are mentioned as important considerations in determining the stability of a crystal with a certain chemical formula.
  • #1
g_mogni
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Hello,

Sorry if this is a rather basic question, but my memories of solid-state chemistry are a bit rusty. Basically I'm trying to predict new crystal structures. I understand the crystallographic aspects quite well and know that at given external temperature and pressure the most stable crystal structure will be the one that minimises the Gibbs Free Energy as well as matching internal with external pressures and relaxing all atomic forces inside the crystal (such calculations can rather easily be done with DFT techniques for instance). The question is from the point of view of the chemical composition of the repeating unit of the crystal structure (e.g. SiO2 for silica, CaTiO3 for perovskite or NaCl for salt). How does someone know when a certain chemical composition gives a stable and valid crystal? Does the repeating unit always have to obey the octet rule for example, or is it just a matter of calculating the resulting cohesive internal energy of the crystal structure and making sure it's always negative? Thanks for any input!

Gabriele
 
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  • #2
I do not fully understand the question, but I will give it a try. Given a chemical formula, and given a crystal structure that this chemical formula can fit on, there are certain stability criteria that need to be checked first before claiming that this formula can be prepared in that crystal structure. For example, no imaginary frequencies for the lattice vibrations in the Brillouin zone. Another example , the elastic constants need to adhere to certain stability criteria (inequalities). Once all these tests are passed successfully, thermodynamics can decide which of the possible candidate structures is favorable at a given T, P, chemical potential, ...
 
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FAQ: Predicting new crystal structures

1. How do you predict new crystal structures?

Predicting new crystal structures involves using computational methods and algorithms to analyze the atomic arrangements of known crystals and determine the most likely configurations for new structures. This process also takes into account factors such as atomic bonding, symmetry, and energy minimization.

2. What tools or software are used for predicting new crystal structures?

There are various software and tools available for predicting new crystal structures, such as density functional theory (DFT) calculations, crystal structure prediction (CSP) software, and machine learning algorithms. Each of these tools uses different approaches and techniques to predict new structures.

3. Can crystal structure prediction accurately predict all types of crystals?

No, crystal structure prediction cannot accurately predict all types of crystals. Some crystals, particularly those with complex structures or those formed under extreme conditions, may be difficult to predict using current methods. However, advancements in computational methods and technology are constantly improving the accuracy and scope of crystal structure prediction.

4. How reliable are predictions of new crystal structures?

The reliability of predictions of new crystal structures depends on several factors, such as the quality of input data, the complexity of the crystal structure, and the accuracy of the computational methods used. While predictions can provide valuable insights and potential structures, experimental verification is still necessary to confirm the existence and properties of new crystals.

5. How can predicting new crystal structures benefit scientific research?

Predicting new crystal structures can benefit scientific research in various ways. It can aid in the discovery of new materials with unique properties and potential applications, such as new semiconductors or superconductors. It can also provide insights into the fundamental principles of crystal formation and help improve our understanding of materials at the atomic level.

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