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Dynamics and geometry optimization with ChemShell

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Optimisation Algorithms<br />

● Determination of the search direction<br />

● First-order methods: gradient<br />

− Steepest descent<br />

− Conjugate gradient<br />

− Damped dynamics<br />

● Second order methods: gradient <strong>and</strong> Hessian<br />

− Quasi-Newton methods<br />

− RFO<br />

− BFGS (accumulated Hessian)<br />

− L-BFGS (accumulated Hessian, O(N))<br />

Johannes Kästner<br />

STFC Daresbury Lab<br />

Transition-State Search Algorithms<br />

● First order saddle points:<br />

− Zero gradient<br />

− One negative eigenvalue of the Hessian,<br />

all others positive<br />

● P-RFO (requires accurate Hessian)<br />

● Dimer method (no Hessian required)<br />

● Newton-Raphson (finds any extremum)<br />

Johannes Kästner<br />

STFC Daresbury Lab<br />

6

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