G.D.W. Smith

Aerospace Engineering · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G.D.W. Smith trusts

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

  1. Chris Wolverton (in Aerospace Engineering)

Papers from G.D.W. Smith's perspective

Ordered by how strongly the researchers G.D.W. Smith trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Interfaces in crystalline materials
  2. Improving neural networks by preventing co-adaptation of feature detectors
  3. MATERIALS CHARACTERIZATION IN THE ABERRATION-CORRECTED SCANNING TRANSMISSION ELECTRON MICROSCOPE
  4. Universal Approximation with Deep Narrow Networks (Annual Conference Computational Learning Theory)
  5. A logical calculus of the ideas immanent in nervous activity
  6. Best practices in machine learning for chemistry (Nature Chemistry)
  7. Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches (Acta Materialia)
  8. Prediction of high-entropy stabilized solid-solution in multi-component alloys
  9. ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition (Scientific Reports)
  10. Matminer: An open source toolkit for materials data mining (Computational materials science)

Their papers