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Machine Learning and Deep Learning approaches for Physics Problem

1. Introduction:

  • This first version, I am re-implement the model to predict the electric field-dependent absorption coefficient in CdTe/CdS quantum dots (which calculated by a really complex calculation)

2. Implementation:

  • Simply, it use the ANN model, with one input layer (input features like Photon energy, Electric Field, the number of neurons equal to number of features), two hidden layers (400 neurons each), and one output layer (one single neuron) which provide the predict values of electric field-dependent absorption coefficient

  • To generate the data, I will use the limited element method to solve the original formula. However, this method might be really expensive to calculate (that's why we implement this model) (Update in future)

  • This model is to verify again a research paper, also show its efficient in predict the result of some really complex formula in Physics.

3. Reference:

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