NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
Por um escritor misterioso
Descrição
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
cluster: Searching for Unique Low Energy Minima of Structures Using a Novel Implementation of a Genetic Algorithm
HOMO-LUMO gaps (in eV) of LuSin (n = 3–10) calculated at the TPSSh
DFTB-Assisted Global Structure Optimization of 13- and 55-Atom Late Transition Metal Clusters
The application of machine learning to air pollution research: A bibliometric analysis - ScienceDirect
Machine Learning-Aided Structure Determination for TiCl4–Capped MgCl2 Nanoplate of Heterogeneous Ziegler–Natta Catalyst
Frontiers Determining the Adsorption Energetics of 2,3-Butanediol on RuO2(110): Coupling First-Principles Calculations With Global Optimizers
Catalysts, Free Full-Text
HOMO-LUMO gaps (eV) of PmSin, SmSin, EuSin and Sin (n = 3–10) species
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning
PDF) Application of Optimization Algorithms in Clusters
NWPEsSe: An Adaptive-Learning Global Optimization Algorithm for Nanosized Cluster Systems
Catalysts, Free Full-Text
de
por adulto (o preço varia de acordo com o tamanho do grupo)
