NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for

Innovative Algorithm for Global Optimization

DFTB-Assisted Global Structure Optimization of 13- and 55-Atom Late Transition Metal Clusters

Application of genetic algorithm in the global structure optimization of catalytic system

AFFCK: Adaptive Force-Field-Assisted ab Initio Coalescence Kick Method for Global Minimum Search

Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning

Simulated photoelectron spectra for the LuSin⁻ (n = 3–10) clusters with

A new taxonomy of global optimization algorithms

A) The NWPEsSe algorithm. (B) Schematic of population update based on

NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems

Processes, Free Full-Text

Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility. - Abstract - Europe PMC

Frontiers Determining the Adsorption Energetics of 2,3-Butanediol on RuO2(110): Coupling First-Principles Calculations With Global Optimizers

NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems