Phases in Zn-coated Fe analyzed through an evolutionary meta-model and multi-objective Genetic Algorithms

The metallurgy of zinc-coated steel

A. R. Marder · Progress in Materials Science · 2000 · 1.5K citations

Metallurgy, Materials Science, Engineering +5

A genetic algorithms based multi-objective neural net applied to noisy blast furnace data

Frank Pettersson, Nirupam Chakraborti, Henrik Saxén · Applied Soft Computing · 2005 · 249 citations

Artificial Intelligence, Evolving Neural Network, Engineering +11

Genetic algorithms in materials design and processing

Nirupam Chakraborti · International Materials Reviews · 2004 · 206 citations

Materials Science, Materials Engineering, Chemical Engineering +13

Evolutionary Multiobjective Optimization in Materials Science and Engineering

Carlos A. Coello Coello, Ricardo Landa Becerra · Materials and Manufacturing Processes · 2009 · 106 citations

Materials Science, Representative Applications, Short Introduction +11

Synthesis and Crystal Structure Determinations in the Γ and δ Phase Domains of the Iron–Zinc System: Electronic and Bonding Analysis of Fe13Zn39 and FeZn10, a Subtle Deviation from the Hume–Rothery Standard?

Claude Belin, Renaud C. Belin · Journal of Solid State Chemistry · 2000 · 82 citations

Materials Science, Inorganic Chemistry, Magnetic Properties +9