Watch AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method Video Tutorial


Tutorial Details & Info

Tutorial Title: AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method
Instructor / Channel: AmsterdamDensityFunctional
Lesson Runtime: 13:23 Minutes
Publish Date: November 20, 2020
Total Students / Views: 769 views

Explore this free video tutorial for AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method instructor AmsterdamDensityFunctional. The total lesson runtime is 13:23 minutes providing step-by-step visual instructions. Follow along to build your skills today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

A short introduction to some new features in the Amsterdam Modeling Suite, 2020 release. For the full release notes of AMS2020, see: https://www.scm.com/AMS2020 We will demo the machine learning potential module, multi-layer calculations with any QM and MM combination for any periodicity, and fast G0W0 calculations. This video will also show the new set up of the graphical user interface with clear separation of the system set up, the properties set up with AMS driver and the specific properties of the module that does the electronic structure or atomistic potential calculation. For a more in-depth video on ML potentials see: https://www.youtube.com/watch?v=uRvhAdukioA For a demo of DFT/DFTB hybrid calculations for 2D COFs, see: https://www.youtube.com/watch?v=TINK9e_5Zd8&t=1358s Other new features include: electric fields & point charges for molecule and 1D, 2D systems (not shown), and trajectory analysis: diffusion coefficients and FT-IR (see: https://www.youtube.com/watch?v=fn2xmRiTzYE) You may also want to check out the video on how you can efficiently leverage DFTB Hessians for DFT optimizations: https://www.youtube.com/watch?v=UuSG_vj_CUQ Try out AMS2020 yourself? https://www.scm.com/free-trial/ Discuss if the Amsterdam Modeling Suite could help your research? https://www.scm.com/applications/will-ams-help-my-research/ Let us know your suggestions for follow-up demonstrations and how we can help you better in the future!

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

Discover how to apply AMS2020 New Features: QM/MM, Machine Learning Potentials, Efficient G0W0 Method with this comprehensive video tutorial guide. Throughout this course, you will gain step-by-step knowledge for AMS2020 New Features: QM/MM, Machine Learning Potentials, Efficient G0W0 Method.

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Watch AMS2020 New Features: QM/MM, Machine Learning Potentials, Efficient G0W0 Method full video tutorial and step-by-step course guide with high quality video and audio details on TutorTube.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method taught by AmsterdamDensityFunctional. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by AmsterdamDensityFunctional with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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