Maria Ruhr

Atomic and Molecular Physics, and Optics · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Maria Ruhr trusts

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

  1. James J. P. Stewart (in Atomic and Molecular Physics, and Optics)
  2. David Ruppert (in Evaluation & Benchmarks)

Papers from Maria Ruhr's perspective

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

  1. Virtual screening: an endless staircase?
  2. Fast and accurate modeling of molecular atomization energies with machine learning.
  3. Chemical space
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies.
  6. Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17
  7. Click Chemistry: Diverse Chemical Function from a Few Good Reactions. (Angewandte Chemie)
  8. Machine learning of molecular electronic properties in chemical compound space
  9. Functional designed to include surface effects in self-consistent density functional theory
  10. Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters

Their papers