Turab Lookman

Materials Chemistry · 2002–2019

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Turab Lookman trusts overall

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

  1. Jonathan Tennyson
  2. Stefan Goedecker

Who trusts Turab Lookman overall

  1. V. Levitas
  2. C. Gao
  3. Dong Wook Lee

Papers from Turab Lookman's perspective

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

  1. Electronic Structure: Basic Theory and Practical Methods
  2. An introduction to kernel-based learning algorithms
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Fast and accurate modeling of molecular atomization energies with machine learning.
  5. Computational high-throughput screening of electrocatalytic materials for hydrogen evolution (Nature Materials)
  6. Real-space grid implementation of the projector augmented wave method
  7. Minima hopping: an efficient search method for the global minimum of the potential energy surface of complex molecular systems. (Journal of Chemical Physics)
  8. Computational screening of perovskite metal oxides for optimal solar light capture
  9. Adaptive machine learning framework to accelerate ab initio molecular dynamics
  10. Polymer electronic memories: Materials, devices and mechanisms

Their papers