Linked from

The 54 pages that link to Molecular dynamics, each with the reason it gives.

• SolvationRelated: Simulations reveal solvent-shell structures and their continual rearrangement.

• Potential energy surfaceRelated: Forces from a potential energy surface drive classical nuclear trajectories.

• Density functional theoryRelated: First-principles molecular dynamics can obtain atomic forces from density functional calculations.

• Rigid bodyRelated: Rigid-molecule models constrain internal geometry while simulating overall motion.

• Configuration spaceRelated: Molecular trajectories move through a high-dimensional space of particle configurations.

• Conformational analysisRelated: It samples conformational changes dynamically rather than only comparing static structures.

• High-performance computingRelated: Large simulations use HPC to model many particles and long timescales.

• Computational chemistryRelated: It uses calculated forces to model molecular motion and ensemble behavior.

• Molecular recognitionRelated: Simulations can reveal changing shapes and transient contacts that static binding models miss.

• Physical chemistryRelated: It models how molecular interactions generate structure and dynamics over time.

• ConformationRelated: Trajectories reveal conformational changes over time.

• Helmholtz free energyRelated: Free-energy calculations use simulations to compare equilibrium states and molecular configurations.

• Intrinsically disordered proteinRelated: Simulations can sample disordered ensembles, but their accuracy depends on force fields and sampling.

• Microcanonical ensembleRelated: Energy-conserving simulations approximate microcanonical evolution when no thermostat is applied.

• Structural biologyRelated: It explores conformational changes that static structures cannot show.

• SupercomputerRelated: Supercomputers model large molecular systems and long trajectories.

• Ergodic hypothesisRelated: Simulation estimates of equilibrium properties depend on whether sampled trajectories explore relevant states.

• Molecular mechanicsRelated: Molecular mechanics supplies the potential energy and forces used in classical simulations.

• BiophysicsRelated: It turns molecular forces into predicted trajectories for proteins and membranes.

• Collision theoryRelated: It can model detailed trajectories and interactions beyond collision theory’s simplified assumptions.

• Coarse-grainingRelated: Coarse-grained molecular models reduce atomic detail to simulate larger systems or longer times.

• Molecular physicsRelated: It translates molecular forces into predicted motion and dynamical behavior.

• Microscopic reversibilityRelated: Equilibrium trajectory statistics can be checked against time-reversed trajectories.

• Computer-aided drug designRelated: It tests how predicted complexes behave beyond a static docking pose.

• Theoretical chemistryRelated: It connects molecular interactions to predicted motion, structure, and thermodynamic behavior.

• Nucleic acid structureRelated: Simulations reveal how nucleic acid structures fluctuate over time.

• Arieh WarshelRelated: Warshel used molecular dynamics to examine how protein environments influence reaction pathways.

• Michael LevittRelated: Levitt used simulations of molecular motion to study protein conformations and folding.

• NanofluidicsRelated: It can resolve molecular-scale behavior that continuum models may miss in nanoconfinement.

• Chemical Physics & Physical ChemistryRelated: It models how forces produce molecular trajectories and collective behavior.

• Conformation & topologyRelated: Trajectories reveal conformational transitions and the behavior of entangled molecules.

• First-principles calculations in plasma physicsRelated: It can resolve strongly coupled plasma behavior from particle-level forces.

• General-purpose computing on graphics processing unitsRelated: Many particle-force calculations can run concurrently on GPUs.

• Materials modelingRelated: It models how atoms move and materials respond over time.

• Molecular engineeringRelated: It reveals how designed systems behave beyond a static structure.

• Nanofluidic devicesRelated: It can model confined fluids where continuum descriptions may miss molecular structure.