The field of materials science is undergoing a major transformation thanks to computational materials engineering. At the International Congress on Materials Science and Nanotechnology, Dr. Hakan Ates from Gazi University, Turkey, will deliver a keynote virtual presentation exploring the digital revolution in materials research.
Key
Takeaways from the Presentation:
·
Digital Transformation in
Materials Research: Combining computer simulations
with traditional experiments to accelerate discovery.
·
Nanomaterial Innovations:
Focus on ZnO
and ZnS nanowires, which show exceptional properties for
optoelectronic applications.
·
Advanced Computational Tools:
Use of quantum
mechanics, molecular dynamics, and machine
learning to predict atomic-level material behavior.
·
Mechanical & Optical Insights:
Exploring the relationship between mechanical strength and optical properties
using LAMMPS
and STACK
simulations.
·
Cost-Effective & Accurate:
Efficient simulation methods that deliver precise results without high costs.
·
Future of Materials Design:
Computational approaches supporting sustainability, efficiency, and
next-generation high-performance materials.
·
Software Applications:
Demonstrating how existing tools can be adapted to study other materials or
properties.
About
Dr. Hakan Ates
Dr.
Ates is a Professor in the Department of Metallurgical and Materials Engineering
at Gazi University. He is an international welding engineer (IWE) and welding
inspector (IWI-C), with expertise in nanomaterials,
thin films, additive manufacturing, and powder metallurgy. He
completed postdoctoral research on silicon nanoparticles and nanowires at UIUC and
has contributed extensively to both academic research and industrial
applications.
Event
Details
·
Event: International
Congress on Materials Science and Nanotechnology
·
Dates:
November 20–22, 2025
·
Venue:
Singapore & Online (Hybrid Event)
·
Website: materials.miconferences.com
·
Abstract Submission: Submit
Here
·
Registration: Register
Here
#MaterialsScience
#Nanotechnology #ComputationalEngineering #DigitalInnovation #ZnONanowires
#ZnSNanowires #MachineLearning #QuantumMechanics #MolecularDynamics
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