G. P. P. Pun

Materials Chemistry · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom G. P. P. Pun trusts overall

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

  1. J. Behler
  2. V. Botu
  3. Yuri Mishin
  4. Aldo Glielmo
  5. Rampi Ramprasad
  6. Edward Sanville
  7. J. Perdew
  8. Zhenwei Li
  9. Stefan Chmiela
  10. Adri C. T. van Duin

Who trusts G. P. P. Pun overall

  1. Yuri Mishin
  2. Kamal Choudhary

Papers from G. P. P. Pun's perspective

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

  1. Learning scheme to predict atomic forces and accelerate materials simulations
  2. Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces.
  3. Adaptive machine learning framework to accelerate ab initio molecular dynamics
  4. Atom-centered symmetry functions for constructing high-dimensional neural network potentials.
  5. Silicon potentials investigated using density functional theory fitted neural networks
  6. Empirical interatomic potential for silicon with improved elastic properties.
  7. Generalized Gradient Approximation Made Simple.
  8. SchNet - A deep learning architecture for molecules and materials.
  9. ReaxFF: A Reactive Force Field for Hydrocarbons
  10. Efficient nonparametric n -body force fields from machine learning

Their papers