Aims & Scope
npj Computational Materials publishes high-quality research papers that apply computational approaches for the design of new materials, and for enhancing our understanding of existing ones. New computational techniques – and the refinement of current approaches – that facilitate these aims are also welcome, as are experimental papers that complement computational findings.
npj Computational Materials has a 2-year impact factor:12.241 (2021), article downloads of 1,138,590 (2021) and 11 days from submission to the first editorial decision.
Representative journal scope includes:
- application and development of existing and emerging theoretical and simulation approaches for the study of materials in their entirety (organic and inorganic).
- structure and property prediction of new materials, such as by the 'materials by design' paradigm.
- significant new understanding of materials fundamentals, behavior and properties.
- integrative/complementary experimental works that serve to validate, support and extend computational findings.
- high-throughput techniques – both computational and experimental – for large data set generation, and materials data mining.