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We propose a two-scale finite element method designed for heterogeneous microstructures. Our approach exploits domain diffeomorphisms between the microscopic structures to gain computational efficiency. By using a conveniently constructed…

Numerical Analysis · Mathematics 2024-10-24 Omar Richardson , Omar Lakkis , Adrian Muntean , Chandrasekhar Venkataraman

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact…

Tunneling field-effect transistors (TFETs) based on 2D materials are promising steep sub-threshold swing (SS) devices due to their tight gate control. There are two major methods to create the tunnel junction in these 2D TFETs: electrical…

Mesoscale and Nanoscale Physics · Physics 2016-08-30 Hesameddin Ilatikhameneh , Gerhard Klimeck , Joerg Appenzeller , Rajib Rahman

Force field have for decades proven to be an indispensable tool for molecular simulations which are out of reach for ab-initio methods. Recent efforts to improve the accuracy of these simulations have focused on the inclusion of many-body…

Chemical Physics · Physics 2020-06-26 Ruben Goeminne , Toon Verstraelen

We report the realization of field-effect transistors (FETs) made with chemically synthesized multilayer 2D crystal semiconductor MoS2. Electrical properties such as the FET mobility, subthreshold swing, on/off ratio, and contact resistance…

Mesoscale and Nanoscale Physics · Physics 2015-01-30 Wan Sik Hwang , Maja Remskar , Rusen Yan , Tom Kosel , Jong Kyung Park , Byung Jin Cho , Wilfried Haensch , Huili , Xing , Alan Seabaugh , Debdeep Jena

We present a deep learning approach to extract physical parameters (e.g., mobility, Schottky contact barrier height, defect profiles) of two-dimensional (2D) transistors from electrical measurements, enabling automated parameter extraction…

Metal-mediated exfoliation has been demonstrated as a promising approach for obtaining large-area flakes of 2D materials to fabricate prototypical nanoelectronics. However, several processing challenges related to organic contamination at…

In a quasi two-dimensional electron system with non-zero layer thickness, a parallel magnetic field (B||) can couple to the out-of-plane electron motion and lead to a severe distortion and eventual disintegration of the Fermi contour. Here…

Mesoscale and Nanoscale Physics · Physics 2015-06-12 M. A. Mueed , D. Kamburov , M. Shayegan , L. N. Pfeiffer , K. W. West , K. W. Baldwin , R. Winkler

Graphene field-effect transistors (GFETs) are among the most promising platforms for ultrasensitive chemical and biological sensing due to their high carrier mobility, large surface area, and low intrinsic noise. However, conventional…

Applied Physics · Physics 2025-09-05 Vinay Kammarchedu , Heshmat Asgharian , Hossein Chenani , Aida Ebrahimi

We show that a small number of intentionally introduced defects can be used as a spectroscopic tool to amplify quasiparticle interference in 2H-NbSe$_{2}$, that we measure by scanning tunneling spectroscopic imaging. We show from the…

In this paper we proposed a two-level finite element discretization of the nonlinear stationary quasi-geostrophic equations, which model the wind driven large scale ocean circulation. Optimal error estimates for the two-level finite element…

Numerical Analysis · Mathematics 2014-06-17 Erich L Foster , Traian Iliescu , David Wells

It is described, explicitly, how a popular, commercially-available software package for solving partial-differential-equations (PDEs), as based on the finite-element method (FEM), can be configured to calculate the frequencies and fields of…

Quantum Physics · Physics 2007-05-23 Mark Oxborrow

A study on a parametrized model of a composite barrier FTJ (three-interface system, with a non-polar dielectric layer) under an external bias voltage and at room temperature, using FEM-based simulations, was performed. The approach involves…

Mesoscale and Nanoscale Physics · Physics 2022-07-20 C. Tibeica , T. Sandu , O. Nedelcu , R. Plugaru , N. Plugaru

In this work, we have implemented an accurate machine-learning approach for predicting various key analog and RF parameters of Negative Capacitance Field-Effect Transistors (NCFETs). Visual TCAD simulator and the Python high-level language…

Materials Science · Physics 2024-12-20 Yash Pathak , Laxman Prasad Goswami , Bansi Dhar Malhotra , Rishu Chaujar

The Fermi-Hubbard model (FHM) on a two dimensional square lattice has long been an important testbed and target for simulating fermionic Hamiltonians on quantum hardware. We present an alternative for quantum simulation of FHMs based on an…

This paper proposes a single-domain dual-reciprocity inclusion-based boundary element method (DR-iBEM) for a three-dimensional fully bonded bi-layered composite embedded with ellipsoidal inhomogeneities under transient/harmonic thermal…

Numerical Analysis · Mathematics 2025-12-11 Chunlin Wu , Liangliang Zhang , Tengxiang Wang , Huiming Yin

We integrate the all-electron electronic structure code FHI-aims into the general ChemShell package for solid-state embedding (QM/MM) calculations. A major undertaking in this integration is the implementation of pseudopotential…

As the conventional scaling of logic devices comes to an end, functional wafer backside and 3D transistor stacking are consensus for next-generation logic technology, offering considerable design space extension for powers, signals or even…

Applied Physics · Physics 2025-01-28 Haoran Lu , Xun Jiang , Yanbang Chu , Ziqiao Xu , Rui Guo , Wanyue Peng , Yibo Lin , Runsheng Wang , Heng Wu , Ru Huang

We calculate the damping of excitations due to four-fermionic interaction in the case of two-dimensional superconductor with nodes in the spectrum. At zero temperature and low frequencies it reveals gapless $\omega^3$ behavior at the nodal…

Condensed Matter · Physics 2010-05-19 M. L. Titov , A. G. Yashenkin , D. N. Aristov

Under the frequency domain framework for weakly dependent functional time series, a key element is the spectral density kernel which encapsulates the second-order dynamics of the process. We propose a class of spectral density kernel…

Statistics Theory · Mathematics 2018-12-11 Tingyi Zhu , Dimitris N. Politis