Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Discretization Errors

14 of 38

14 of 38

Discretization Errors

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Classroom Contents

Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Context
  4. 4 Automation
  5. 5 Camoton
  6. 6 Example
  7. 7 Network
  8. 8 Data
  9. 9 Kinetic modeling
  10. 10 Uncertainty quantification
  11. 11 Transferability
  12. 12 General Remarks
  13. 13 The Most Fundamental Problem
  14. 14 Discretization Errors
  15. 15 Individual Absolute Errors
  16. 16 Error Compensation
  17. 17 Benchmark Results
  18. 18 Continuous Benchmarking
  19. 19 Knowledge Based Error Estimation
  20. 20 Examples
  21. 21 Gaussian Processes
  22. 22 Reaction Network Exploration
  23. 23 Soap Kernel
  24. 24 Standard Database
  25. 25 Multiconfiguration
  26. 26 DMRG
  27. 27 Entanglement Measures
  28. 28 Selection Algorithm
  29. 29 User Interface
  30. 30 Reference Data
  31. 31 D3 Correction
  32. 32 Training Data
  33. 33 Technical Details
  34. 34 Data Machine Learning
  35. 35 Automated Workflow
  36. 36 Related Work
  37. 37 Conclusion
  38. 38 References

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