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Computational Chemistry Course

Computational Chemistry Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

This intensive Computational Chemistry Course teaches you how to design solid QM and MD studies, from clever literature searches to verified, repeatable results. Learn to select levels of theory, solvation models, force fields, and water models, find and confirm stationary points, plan MD and enhanced sampling, analyse energy profiles and PMFs, and draw clear mechanistic insights you can trust and publish confidently.

Elevify advantages

Develop skills

  • Literature mining for QM/MD: find, filter, and critique key computational papers.
  • QM setup mastery: pick levels of theory, solvation, and validate stationary points.
  • MD workflow design: build solvent boxes, choose force fields, run stable trajectories.
  • Enhanced sampling for reactions: define CVs, run umbrella sampling, extract PMFs.
  • Mechanistic SN2 insight: link QM and MD data to barriers, pathways, and solvent effects.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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Very great course. Lots of valuable information.
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