Computational Materials Science

Computational materials science involves computational tools for solving materials interconnected problems. There are Different mathematical models for investigating problems at multiple length and time scales which helps to understanding evolution of material structures and how these structures effectively control material properties. At electronic level, Density Functional Theory (DFT) is a trendy computational tool while Molecular Dynamics (MD) and Monte Carlo (MC) methods are considered as preferred tools for atomistic simulations. Phase-field Method (PFM) is regularly used for materials problems at micron and mesoscale (between micro and nano) regimes.

• Macroscopic/Mesoscopic Computational Materials Science
• Numerical simulation/techniques/algorithms
• Computational physics/chemistry
• 3D printing, plastic deformation
• Modelling of deformation behavior of materials
• Computational materials science and chemistry
• Statistical/artificial intelligence methods, numerical techniques
• Expert systems, genetic algorithms, neural networks
• Process system design, engineering/materials/technological design
• Mould flow analysis, modelling behavior of materials
• Materials/engineering databases
• Nanomaterials synthesis, nano/micromanufacturing/technology
• Electronic packaging technology, quality assessment, green manufacturing
• Advanced manufacturing technology, machining, laser/electron beam treatment

Market Analysis:  According to the report, the global Advanced Materials market was valued at US$ 42.76 Bn in 2015 and is anticipated to reach US$ 102.48 Bn by 2024, expanding at a CAGR of 10.4% between 2016 and 2024. For More Details: https://materialsscience.peersalleyconferences.com/tracks/computational-materials-science