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Reproducible orchestration of best practices for reaction path optimization w...
<p>The nudged elastic band (NEB) method is the standard approach for finding minimum energy paths and transition states on potential energy surfaces. Practical NEB... -
Adaptive pruning for increased robustness and reduced computational overhead ...
<p>Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high-dimensional energy surfaces by reducing the number of times the... -
Bayesian hierarchical models for quantitative estimates for performance metri...
The increasing use of high-throughput computational chemistry demands rigorous methods for evaluating algorithm performance. We present a Bayesian hierarchical modeling paradigm... -
Enhanced Climbing Image Nudged Elastic Band method with Hessian Eigenmode Ali...
<p>Accurate determination of transition states is central to an understanding of reaction kinetics. Double-endpoint methods where both initial and final states are... -
Enhanced Climbing Image Nudged Elastic Band method with Hessian Eigenmode Ali...
<p>Accurate determination of transition states is central to an understanding of reaction kinetics. Double-endpoint methods where both initial and final states are... -
Adaptive pruning for increased robustness and reduced computational overhead ...
<p>Gaussian process (GP) regression provides a strategy for accelerating saddle point searches on high-dimensional energy surfaces by reducing the number of times the... -
Efficient implementation of gaussian process regression accelerated saddle po...
The task of locating first order saddle points on high-dimensional surfaces describing the variation of energy as a function of atomic coordinates is an essential step for...
