Nyro - SCM India UGM 2025

Explore atomistic modelling and simulation for materials science, solid state, and batteries with a focus on computational chemistry.

FREE

Instructor: Nyro Research IndiaLanguage: English

Agenda

About the Meeting

Description:

This user group meeting session provides a comprehensive understanding of atomistic modelling and simulation techniques used in materials science, solid state engineering, and battery research, with a specific focus on computational chemistry. Students will learn how to simulate the behavior of materials at the atomic level, gaining insights into the structure, properties, and performance of various materials. Through hands-on computational exercises, participants will develop skills in using advanced simulation software to investigate complex materials systems and predict their behavior under different conditions.

Key Highlights:

  • Atomistic modelling techniques
  • Simulation methods in materials science
  • Applications in solid state engineering
  • Battery research simulations
  • Computational chemistry insights

What you will learn:

  • Gain expertise in atomistic modelling techniques
    Learn to simulate materials at the atomic scale using advanced computational methods.
  • Understand simulation applications in materials science
    Explore the use of simulations to study the structure and properties of materials.
  • Apply simulations in solid state engineering
    Discover how atomistic modelling can be used to design and optimize solid state materials.
  • Investigate battery systems through simulations
    Learn how computational chemistry can provide insights into battery performance and design.

Meet Nyro Research India

Combination of techniques currently allows to construct, perturb, and observe biological model systems, allowing the generation of biological data at broader scale. At the same time, the tools of data science and machine learning are now solving problems previously thought tto be decades away from solution.

What do we offer

Live learning

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Structured learning

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Practice tests

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