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  1. Gaussian process regression adaptive density-guided approach: Toward calculations of potential energy surfaces for larger molecules
  2. A Gaussian process regression adaptive density guided approach for potential energy surface construction
  3. Machine learning for potential energy surfaces: An extensive database and assessment of methods
  4. Approximate high mode coupling potentials using Gaussian process regression and adaptive density guided sampling
  5. Explicitly correlated PNO-MP2 and PNO-CCSD and their application to the S66 set and large molecular systems