A. Mannodi‐Kanakkithodi

Materials Chemistry · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom A. Mannodi‐Kanakkithodi trusts overall

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

  1. Stefan Goedecker
  2. Matthias Rupp 
  3. Ghanshyam Pilania
  4. David Ruppert
  5. Stefano Baroni
  6. Richard M. Martin
  7. Radford M. Neal
  8. Tran Doan Huan
  9. V. Botu
  10. Jochen Heyd

Who trusts A. Mannodi‐Kanakkithodi overall

  1. Grace X. Gu
  2. Chiho Kim
  3. Rampi Ramprasad
  4. Rohit Batra
  5. Chun-Teh Chen
  6. Dane Morgan
  7. Tran Doan Huan

Papers from A. Mannodi‐Kanakkithodi's perspective

Ordered by how strongly the researchers A. Mannodi‐Kanakkithodi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Electronic Structure: Basic Theory and Practical Methods
  2. Pattern Recognition and Machine Learning
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Fast and accurate modeling of molecular atomization energies with machine learning.
  5. An introduction to kernel-based learning algorithms
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  7. Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory
  8. Computational high-throughput screening of electrocatalytic materials for hydrogen evolution (Nature Materials)
  9. Adaptive machine learning framework to accelerate ab initio molecular dynamics
  10. Minima hopping: an efficient search method for the global minimum of the potential energy surface of complex molecular systems. (Journal of Chemical Physics)

Their papers