NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for

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

PDF) The Artificial Bee Colony Algorithm for Global Optimization of Nanosized Clusters

Global Optimization of Dinitrogen Clusters Bound to Monolayer and Bilayer Graphene: A Swarm Intelligence Approach

Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility

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

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

A journey into Optimization algorithms for Deep Neural Networks

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

A Novel Numerical Optimization Algorithm Inspired from Salps: Salp Swarm Optimization Algorithm – Transpire Online

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

Bayesian optimization with active learning of design constraints using an entropy-based approach

Frontiers Application of Optimization Algorithms in Clusters

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

Neutral geometries optimized with the mPW2PLYP scheme. The Pm–Si bond