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1,251 claims from 786 papers are on the record. 46 have been checked so far; the other 1,205 have no check with a result yet.

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Status: Unchecked ×Keyword: Gaussian approximation potential ×Clear all

3 claims from 1 paper

1. Materials Science › Machine Learning in Materials Science

   Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons

   Bartók, Payne, Kondor and Cśanyi · Physical Review Letters · 2010

   The paper introduces interatomic potentials generated automatically from quantum mechanical data, tests them on carbon, silicon and germanium, and reports large savings in computational cost.

   Unchecked3 claims
   Show 3 claims

   1. UncheckedThe model has no fixed functional form, so the paper says it can represent complex potential energy landscapes.“The resulting model does not have a fixed functional form and hence is capable of modeling complex potential energy landscapes.”
   2. UncheckedThe paper says its data-driven atomic interaction model can be made steadily more accurate by giving it more data.“It is systematically improvable with more data.”
   3. Unchecked“Using the interatomic potential to generate the long molecular dynamics trajectories required for such calculations saves orders of magnitude in computational cost.”