Mark James Abraham

Molecular Biology · 2011–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 32 citations into it; #16,174 of 17,773 by trust here, #5,405 by citations
• Materials Chemistry — 21 citations into it; #10,200 of 11,513 by trust here, #5,020 by citations
• Spectroscopy — 12 citations into it; #1,490 of 1,674 by trust here, #291 by citations

Whom Mark James Abraham trusts overall

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

1. Berk Hess
2. Szilárd Páll
3. D. van der Spoel
4. T. Darden

Who trusts Mark James Abraham overall

1. Justin A. Lemkul
2. D. Lloyd Evans
3. Leela S. Dodda
4. Cunliang Geng
5. T. Hegedűs
6. Szilárd Páll
7. Carsten Kutzner
8. J'erome H'enin
9. Artur Meller
10. Alexis Lamiable

Papers from Mark James Abraham's perspective

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

1. A smooth particle mesh Ewald method
2. General purpose molecular dynamics simulations fully implemented on graphics processing units (Journal of Computational Physics)
3. Computing time scales from reaction coordinates by milestoning. (Journal of Chemical Physics)
4. Validity of the single processor approach to achieving large scale computing capabilities
5. Best Practices for Scientific Computing
6. Implementing molecular dynamics on hybrid high performance computers - short range forces (Computer Physics Communications)
7. GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit (Bioinform.)
8. Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 1. Generalized Born (Journal of Chemical Theory and Computation)
9. Routine Microsecond Molecular Dynamics Simulations with AMBER on GPUs. 2. Explicit Solvent Particle Mesh Ewald. (Journal of Chemical Theory and Computation)
10. Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters (International Conference on Software Composition)

Their papers

• GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers (2015) — 23,273 citations
• Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS (2020) — 790 citations
• Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS (2015) — 921 citations
• Optimization of parameters for molecular dynamics simulation using smooth particle‐mesh Ewald in GROMACS 4.5 (2011) — 307 citations