Jan H. Jensen

Computational Chemistry & Drug Discovery · 2005–2018

A researcher in the Science corpus: 8 papers; trusts 1 researcher and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Jan H. Jensen trusts overall

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

  1. Daniel Neil
  2. Marwin H. S. Segler

Who trusts Jan H. Jensen overall

  1. Yuanqi Du
  2. Tianfan Fu
  3. Nathan Brown
  4. Emmanuel Bengio
  5. Kexin Huang
  6. Marco Fiscato
  7. Wenhao Gao
  8. Moksh Jain
  9. Jimeng Sun
  10. Tânia F Cova

Papers from Jan H. Jensen's perspective

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

  1. VMD: visual molecular dynamics.
  2. Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design
  3. The Amber biomolecular simulation programs
  4. How well does a restrained electrostatic potential (RESP) model perform in calculating conformational energies of organic and biological molecules? (Journal of Computational Chemistry)
  5. Electrostatics of nanosystems: Application to microtubules and the ribosome (Proceedings of the National Academy of Sciences of the United States of America)
  6. MultiSeq: unifying sequence and structure data for evolutionary analysis (BMC Bioinformatics)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Generating Sequences With Recurrent Neural Networks
  10. Gradient-based learning applied to document recognition

Their papers