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Electrostatics in semiconducting devices I: The pure electrostatics self consistent approximation, by Antonio Lacerda-Santos, Xavier Waintal

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Researchers Antonio Lacerda-Santos and Xavier Waintal introduced the Pure Electrostatic Self Consistent Approximation (PESCA), a minimal model for quantum nanoelectronics that accurately describes charge distribution by accounting for screening and field-effect depletion. PESCA enables reconstruction of charge distributions using pinch-off phase diagrams measured in gate voltage space, offering a practical tool for experimental validation in semiconductor devices. The model extends to magnetic field scenarios, allowing calculations of edge reconstruction in quantum Hall regimes, broadening its applicability to topological quantum systems. Validity is ensured by the small parameter κ (C_g/C_q), typically ~1%, making PESCA quantitatively precise for most semiconductor devices. Published in April 2026, this work provides a foundational framework for electrostatic calculations in quantum electronics, bridging theory and experimental measurements.
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SciPost Physics Home Authoring Refereeing Submit a manuscript About Electrostatics in semiconducting devices I: The pure electrostatics self consistent approximation Antonio Lacerda-Santos, Xavier Waintal SciPost Phys. 20, 100 (2026) · published 7 April 2026 doi: 10.21468/SciPostPhys.20.4.100 pdf BiBTeX RIS Submissions/Reports Abstract In quantum nanoelectronics devices, the electrostatic energy is the largest energy scale at play and, to a large extent, it determines the charge distribution inside the devices. Here, we introduce the Pure Electrostatic Self Consistent Approximation (PESCA) that provides a minimum model that describes how to include a semiconductor in an electrostatic calculation to properly account for both screening and partial depletion due to e.g. field effect. We show how PESCA may be used to reconstruct the charge distribution from the measurement of pinch-off phase diagrams in the gate voltages space. PESCA can also be extended to account for the magnetic field and calculate the edge reconstruction in the quantum Hall regime. The validity of PESCA is controlled by a small parameter $\kappa = C_g/C_q$, the ratio of the geometrical capacitance to the quantum capacitance, which is, in many common situations, of the order of 1%, making PESCA a quantitative technique for the calculation of the charge distribution inside devices. × TY - JOURPB - SciPost FoundationDO - 10.21468/SciPostPhys.20.4.100TI - Electrostatics in semiconducting devices I: The pure electrostatics self consistent approximationPY - 2026/04/07UR - https://scipost.org/SciPostPhys.20.4.100JF - SciPost PhysicsJA - SciPost Phys.VL - 20IS - 4SP - 100A1 - Lacerda-Santos, AntonioAU - Waintal, XavierAB - In quantum nanoelectronics devices, the electrostatic energy is the largest energy scale at play and, to a large extent, it determines the charge distribution inside the devices. Here, we introduce the Pure Electrostatic Self Consistent Approximation (PESCA) that provides a minimum model that describes how to include a semiconductor in an electrostatic calculation to properly account for both screening and partial depletion due to e.g. field effect. We show how PESCA may be used to reconstruct the charge distribution from the measurement of pinch-off phase diagrams in the gate voltages space. PESCA can also be extended to account for the magnetic field and calculate the edge reconstruction in the quantum Hall regime. The validity of PESCA is controlled by a small parameter $\kappa = C_g/C_q$, the ratio of the geometrical capacitance to the quantum capacitance, which is, in many common situations, of the order of 1%, making PESCA a quantitative technique for the calculation of the charge distribution inside devices.ER - × @Article{10.21468/SciPostPhys.20.4.100, title={{Electrostatics in semiconducting devices I: The pure electrostatics self consistent approximation}}, author={Antonio Lacerda-Santos and Xavier Waintal}, journal={SciPost Phys.}, volume={20}, pages={100}, year={2026}, publisher={SciPost}, doi={10.21468/SciPostPhys.20.4.100}, url={https://scipost.org/10.21468/SciPostPhys.20.4.100},} Ontology / Topics See full Ontology or Topics database. Quantum Hall effect Screening Authors / Affiliations: mappings to Contributors and Organizations See all Organizations. 1 2 Antonio Lacerda-Santos, 1 2 Xavier Waintal 1 Université Grenoble Alpes / Grenoble Alpes University [UGA] 2 Centre d'études nucléaires de Grenoble / CEA Grenoble [CENG] Funders for the research work leading to this publication Agence Nationale de la Recherche [ANR] Horizon 2020 (through Organization: European Commission [EC])

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