The phrase "a quantum model for" is correct and usable in written English.
It can be used when discussing theoretical frameworks or representations in quantum physics or related fields.
Example: "The researchers developed a quantum model for understanding the behavior of particles at the subatomic level."
Alternatives: "a quantum framework for" or "a quantum representation of".
It then presents black hole solutions, and discusses Penrose diagrams, black hole thermodynamics and entropy, the Unruh effect, Hawking radiation, the black hole information problem, black holes in supergravity and string theory, the black hole microstate counting in string theory, asymptotic symmetries in general relativity, and a particular quantum model for black holes.
The underlying quantum model for graphene is a massless Dirac equation, whose eigenvalues display a conical singularity responsible for non-adiabatic transitions between the two modes.
Dr. Felix Binder is an expert on quantum information theoretic approaches tothermodynamics and also studies quantum models for stochastic processes as well asquantum correlations.
Multi-scale Quantum Models for Biocatalysis: Modern Techniques and Applications is an excellent source of information for research professionals involved in computational chemistry and physics, material science, nanotechnology, rational drug design and molecular biology.
The data can be used to study important trends in reactivity of biological phosphates, or used as benchmark data for the design of new semiempirical quantum models for hybrid quantum mechanical/molecular mechanical simulations.
In the Appendix, we provide full quantum models for all basic components of our circuit.
Multi-scale Quantum Models for Biocatalysis: Modern Techniques and Applications explores various molecular modelling techniques and their applications in providing an understanding of the detailed mechanisms at play during biocatalysis in enzyme and ribozyme systems.
In this work, a quantum correction model for the threshold voltage of cylindrical nanowires is presented.
The former is treated with a quantum mechanical model for the electrons, whereas the latter is approximated by a molecular mechanics force field.
A new quantum model is also presented, which provides opportunities for the optimization of nanoscale materials to enhance thermoelectric performance.
