Ryker Mckintyre

Materials Chemistry · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryker Mckintyre trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. J. Behler (in Materials Chemistry)

Papers from Ryker Mckintyre's perspective

Ordered by how strongly the researchers Ryker Mckintyre trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  2. The Elements of Statistical Learning
  3. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
  4. Deep Learning
  5. GROMACS: Fast, flexible, and free
  6. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.
  7. Water: From Clusters to the Bulk. (Angewandte Chemie)
  8. A Chemist's Guide to Density Functional Theory
  9. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers