Mark E. Tuckerman

Materials Chemistry · 2000–2020

A researcher in the Science corpus: 12 papers; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Mark E. Tuckerman trusts overall

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

  1. Michele Parrinello
  2. Axel D. Becke
  3. Matthias Krack
  4. Roberto Car
  5. Alan K. Soper
  6. Jill Trewhella
  7. Raffaele Resta
  8. F. Mauri

Who trusts Mark E. Tuckerman overall

  1. Tim Dockhorn
  2. Zhiting Tian
  3. B. Leimkuhler
  4. David Dubbeldam
  5. Stefan Chmiela
  6. Zheyong Fan
  7. Nan Ding
  8. P. Choi
  9. Arash Vahdat
  10. Sangyeop Lee

Papers from Mark E. Tuckerman's perspective

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

  1. COMPUTATIONAL MATERIALS SCIENCE XI
  2. The Nature of Statistical Learning Theory
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  5. In Advances in Neural Information Processing Systems
  6. Learning Invariant Representations of Molecules for Atomization Energy Prediction
  7. Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning (Nature Communications)
  8. Materials Genome Initiative for Global Competitiveness
  9. The journal of physical chemistry letters
  10. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)

Their papers