NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for

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

Simulated PES spectra of the lowest energy LaSin⁻ (n = 6–20) clusters

Dynamics of Heterogeneous Catalytic Processes at Operando Conditions

Manh-Thuong NGUYEN, PhD, Pacific Northwest National Laboratory, WA, PNNL

AdaptAhead Optimization Algorithm for Learning Deep CNN Applied to MRI Segmentation

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

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

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

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Innovative Algorithm for Global Optimization

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