Automatic Differentiation for Inverse Problems with Applications in
  Quantum Transport
Ivan Williams Eric Polizzi
A neural solver and differentiable simulation of the quantum transmitting
boundary model is presented for the inverse quantum transport problem. The
neural solver is used to engineer continuous transmission properties and the
differentiable simulation is used to engineer current-voltage characteristics.