Comparison of Optical Response from DFT Random Phase Approximation and
Low-Energy Effective Model: Strained Phosphorene
- URL: http://arxiv.org/abs/2109.00554v2
- Date: Tue, 28 Sep 2021 13:54:41 GMT
- Title: Comparison of Optical Response from DFT Random Phase Approximation and
Low-Energy Effective Model: Strained Phosphorene
- Authors: Mohammad Alidoust, Erlend E. Isachsen, Klaus Halterman, and Jaakko
Akola
- Abstract summary: We compare and contrast the dispersive permittivity tensor, using both a low-energy effective model and density functional theory (DFT)
Our results suggest that the random-phase approximation employed in widely used DFT packages should be revisited and improved to be able to predict these fundamental electronic characteristics of a given material with confidence.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The engineering of the optical response of materials is a paradigm that
demands microscopic-level accuracy and reliable predictive theoretical tools.
Here we compare and contrast the dispersive permittivity tensor, using both a
low-energy effective model and density functional theory (DFT). As a
representative material, phosphorene subject to strain is considered. Employing
a low-energy model Hamiltonian with a Green's function current-current
correlation function, we compute the dynamical optical conductivity and its
associated permittivity tensor. For the DFT approach, first-principles
calculations make use of the first-order random-phase approximation. Our
results reveal that although the two models are generally in agreement within
the low-strain and low-frequency regime, the intricate features associated with
the fundamental physical properties of the system and optoelectronic device
implementation such as band gap, Drude absorption response, vanishing real
part, absorptivity, and sign of permittivity over the frequency range show
significant discrepancies. Our results suggest that the random-phase
approximation employed in widely used DFT packages should be revisited and
improved to be able to predict these fundamental electronic characteristics of
a given material with confidence. Furthermore, employing the permittivity
results from both models, we uncover the pivotal role that phosphorene can play
in optoelectronics devices to facilitate highly programable perfect absorption
of electromagnetic waves by manipulating the chemical potential and exerting
strain and illustrate how reliable predictions for the dielectric response of a
given material are crucial to precise device design.
Related papers
- Electron-Photon Exchange-Correlation Approximation for QEDFT [0.0]
Quantum-electrodynamical density-functional theory (QEDFT) provides a promising avenue for exploring complex light-matter interactions.
An approximation for the electron-photon exchange-correlation potential is needed.
Here we consider this QEDFT functional approximation from one to three-dimensional finite systems.
arXiv Detail & Related papers (2024-02-15T08:50:36Z) - Pushing the Pareto front of band gap and permittivity: ML-guided search
for dielectric materials [0.0]
Materials with high-dielectric constants easily polarize under external electric fields, allowing them to perform essential functions in modern electronic devices.
We present a workflow that combines element substitution, ML pre-screening, ab initio simulation and human expert intuition to explore the vast space of unknown materials.
We report the first high-purity synthesis and characterization of Bi2Zr2O7 with a band gap of 2.27 eV and a permittivity of 20.5, meeting all target metrics of our multi-objective search.
arXiv Detail & Related papers (2024-01-11T11:38:20Z) - Quench dynamics in higher-dimensional Holstein models: Insights from Truncated Wigner Approaches [41.94295877935867]
We study the melting of charge-density waves in a Holstein model after a sudden switch-on of the electronic hopping.
A comparison with exact data obtained for a Holstein chain shows that a semiclassical treatment of both the electrons and phonons is required in order to correctly describe the phononic dynamics.
arXiv Detail & Related papers (2023-12-19T16:14:01Z) - Machine-Learning Prediction of the Computed Band Gaps of Double
Perovskite Materials [3.2798940914359056]
Prediction of the electronic structure of functional materials is essential for the engineering of new devices.
In this study, we use machine learning to predict the electronic structure of double perovskite materials.
Our results are significant in the sense that they attest to the potential of machine learning regressions for the rapid screening of promising candidate functional materials.
arXiv Detail & Related papers (2023-01-04T08:19:18Z) - Quantum interaction of sub-relativistic aloof electrons with mesoscopic
samples [91.3755431537592]
Relativistic electrons experience very slight wave packet distortion and negligible momentum recoil when interacting with nanometer-sized samples.
Modelling fast electrons as classical point-charges provides extremely accurate theoretical predictions of energy-loss spectra.
arXiv Detail & Related papers (2022-11-14T15:22:37Z) - Ab initio simulation of laser-induced electronic and vibrational
coherence [0.0]
We show that ensemble-averaging with initial configurations from a nuclear quantum distribution remedies many shortcomings of single-trajectory RT-TDDFT+Ehrenfest.
The explicit inclusion of a time-dependent pulse in the simulations makes this method a prime advance for first-principles studies of coherent nonlinear spectroscopy.
arXiv Detail & Related papers (2021-12-21T10:30:41Z) - Pseudo-Spherical Contrastive Divergence [119.28384561517292]
We propose pseudo-spherical contrastive divergence (PS-CD) to generalize maximum learning likelihood of energy-based models.
PS-CD avoids the intractable partition function and provides a generalized family of learning objectives.
arXiv Detail & Related papers (2021-11-01T09:17:15Z) - Two-photon resonance fluorescence of two interacting non-identical
quantum emitters [77.34726150561087]
We study a system of two interacting, non-indentical quantum emitters driven by a coherent field.
We show that the features imprinted by the two-photon dynamics into the spectrum of resonance fluorescence are particularly sensitive to changes in the distance between emitters.
This can be exploited for applications such as superresolution imaging of point-like sources.
arXiv Detail & Related papers (2021-06-04T16:13:01Z) - Combining density functional theory with macroscopic QED for quantum
light-matter interactions in 2D materials [0.0]
We show Purcell enhancements reaching $107$ for intersubband transitions in few-layer transition metal dichalcogenides sandwiched between graphene and a perfect conductor.
Our work lays the foundation for practical ab initio-based quantum treatments of light matter interactions in realistic nanostructured materials.
arXiv Detail & Related papers (2021-03-17T08:23:56Z) - Benchmarking adaptive variational quantum eigensolvers [63.277656713454284]
We benchmark the accuracy of VQE and ADAPT-VQE to calculate the electronic ground states and potential energy curves.
We find both methods provide good estimates of the energy and ground state.
gradient-based optimization is more economical and delivers superior performance than analogous simulations carried out with gradient-frees.
arXiv Detail & Related papers (2020-11-02T19:52:04Z) - OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted
Atomic-Orbital Features [42.96944345045462]
textscOrbNet is shown to outperform existing methods in terms of learning efficiency and transferability.
For applications to datasets of drug-like molecules, textscOrbNet predicts energies within chemical accuracy of DFT at a computational cost that is thousand-fold or more reduced.
arXiv Detail & Related papers (2020-07-15T22:38:41Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.