Abstract
Soft matter embodies a wide range of materials, which all share the common characteristics of weak interaction energies determining their supramolecular structure. This complicates structure-property predictions and hampers the direct application of data-driven approaches to their modeling. We present several aspects in which these methods play a role in designing soft-matter materials: Drug design as well as information-driven computer simulations, e.g., histogram reweighting. We also discuss recent examples of rational design of soft-matter materials fostered by physical insight and assisted by data-driven approaches. We foresee the combination of data-driven and physical approaches a promising strategy to move the field forward.
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CITATION STYLE
Bereau, T., Andrienko, D., & Kremer, K. (2016). Research Update: Computational materials discovery in soft matter. APL Materials, 4(5). https://doi.org/10.1063/1.4943287
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