NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
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The application of machine learning to air pollution research: A bibliometric analysis - ScienceDirect
Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility
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Application of genetic algorithm in the global structure optimization of catalytic system
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
Full article: Abnormal characteristics of binary molecular clusters in DMSO–ethanol mixtures under external electric fields
Frontiers Determining the Adsorption Energetics of 2,3-Butanediol on RuO2(110): Coupling First-Principles Calculations With Global Optimizers
Monte Carlo-Simulated Annealing and Machine Learning-Based Funneled Approach for Finding the Global Minimum Structure of Molecular Clusters
Application of genetic algorithm in the global structure optimization of catalytic system
Automated exploitation of the big configuration space of large adsorbates on transition metals reveals chemistry feasibility
Application of Optimization Algorithms in Clusters. - Abstract - Europe PMC
Manh-Thuong NGUYEN, PhD, Pacific Northwest National Laboratory, WA, PNNL
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