Laxmikant V. Kalé
Molecular Biology · 2005–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 39 citations into it; #16,102 of 17,773 by trust here, #2,724 by citations
- Atomic and Molecular Physics, and Optics — 35 citations into it
Whom Laxmikant V. Kalé trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Klaus Schulten (in Atomic and Molecular Physics, and Optics)
Who trusts Laxmikant V. Kalé
- Markus J. Buehler (in Molecular Biology)
Papers from Laxmikant V. Kalé's perspective
Ordered by how strongly the researchers Laxmikant V. Kalé trusts endorse each paper. Same corpus, a different order for every researcher.
- All-atom empirical potential for molecular modeling and dynamics studies of proteins.
- A smooth particle mesh Ewald method
- CHARMM‐GUI: A web‐based graphical user interface for CHARMM
- Replica Exchange with Solute Scaling: A more efficient version of Replica Exchange with Solute Tempering (REST2) (Journal of Physical Chemistry B)
- Calculating free energies using average force
- Well-tempered metadynamics: a smoothly converging and tunable free-energy method. (Physical Review Letters)
- Canonical sampling through velocity rescaling. (Journal of Chemical Physics)
- ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
- A biomolecular force field based on the free enthalpy of hydration and solvation: The GROMOS force‐field parameter sets 53A5 and 53A6 (Journal of Computational Chemistry)
- Exploring protein native states and large‐scale conformational changes with a modified generalized born model (Proteins: Structure, Function, and Bioinformatics)
Their papers
- Scalable molecular dynamics with NAMD (2005) — 16,410 citations
- Scalable molecular dynamics on CPU and GPU architectures with NAMD. (2020) — 2,675 citations
- Toward Exascale Resilience (2009) — 420 citations