Has Computer Simulation Proven Successful in Solving Quantum Mechanical Systems?

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In summary, computer simulations have been used to solve quantum mechanical systems with a small number of interacting particles, where exact solutions do not exist. However, the success of these techniques is limited by the quality and applicability of the approximations used. Despite this, some accurate calculations have been made for heavier atoms and molecules, taking into account both the number of particles and relativistic effects.
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jostpuur
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I've heard stories about how computer simulations can be used to deal with some quantum mechanical systems, that cannot be solved exactly (for example systems with 10, 20, or 100 interacting particles) even though the number of particles is small enough that some explicit solutions do exist in principle. However, it has not become clear to me how successful these techniques have been. For example, have the spectrum of some heavier atoms, or some molecules, been solved correctly purely from the theory?
 
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All modelling is based on approximations, and the results are limited by the quality and applicability of these approximations, but some very good calculations have been made.

Note that for heavier atoms, the difficulty stems not only from the number of particles involved, but also from the fact that relativistic effects have to be taken into account. But there also, some good work has been done.
 

1. What is the purpose of conducting SE simulations?

The main purpose of conducting SE simulations is to forecast and evaluate the success of a particular system or project. This can help identify potential risks and issues that may arise and allow for changes to be made before the actual implementation of the system.

2. How accurate are SE simulations in predicting success?

The accuracy of SE simulations depends on the quality and completeness of the data used in the simulation, as well as the assumptions and parameters set. Generally, the more realistic the data and conditions are, the more accurate the simulation will be.

3. What are the key factors that affect the success of SE simulations?

The key factors that affect the success of SE simulations include the complexity of the system being simulated, the quality of the data and assumptions used, the expertise of the person conducting the simulation, and the level of detail and accuracy in the simulation model.

4. How can SE simulations be used to improve the success of a project?

SE simulations can be used to identify potential risks and issues that may arise during the project and allow for adjustments to be made before actual implementation. They can also help in evaluating different scenarios and making informed decisions based on the simulation results.

5. Are there any limitations to using SE simulations for predicting success?

While SE simulations can provide valuable insights and predictions, they are not a guarantee of success. They are only as accurate as the data and assumptions used, and there may be unforeseen factors that can affect the success of a project. It is important to regularly review and update the simulation model to ensure its relevance and accuracy.

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