How to quantify energy landscapes of solids
Artem R. Oganov, Mario Valle

TL;DR
This paper introduces a set of tools and methods to quantitatively analyze the energy landscapes of solids, revealing structural rules and aiding in crystal structure prediction and property analysis.
Contribution
It develops new quantitative measures and representations for energy landscapes, enabling better understanding and rationalization of crystal structures and their properties.
Findings
Low-energy minima cluster in 'funnels' in configuration space.
Crystals tend to adopt simple structures consistent with their chemistry.
Analysis supports Pauling's fifth rule with thermodynamic justification.
Abstract
We explore whether the topology of energy landscapes in chemical systems obeys any rules and what these rules are. To answer this and related questions we use several tools: (i)Reduced energy surface and its density of states, (ii) descriptor of structure called fingerprint function, which can be represented as a one-dimensional function or a vector in abstract multidimensional space, (iii) definition of a ''distance'' between two structures enabling quantification of energy landscapes, (iv) definition of a degree of order of a structure, and (v) definitions of the quasi-entropy quantifying structural diversity. Our approach can be used for rationalizing large databases of crystal structures and for tuning computational algorithms for structure prediction. It enables quantitative and intuitive representations of energy landscapes and reappraisal of some of the traditional chemical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
