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

The application of machine learning to air pollution research: A bibliometric analysis - ScienceDirect

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

Plot of the calculated steric interaction energies (B3LYP-D3/SDD) as a

Representation of the Deaven and Ho cut-and-splice crossover operation.

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

Catalysts, Free Full-Text

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

PDF) Application of Optimization Algorithms in Clusters

Representative positive mode ESI-MS spectra of the (a) nascent gold

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

Monte Carlo-Simulated Annealing and Machine Learning-Based Funneled Approach for Finding the Global Minimum Structure of Molecular Clusters