2573 Publications

A Weighted State Redistribution Algorithm for Embedded Boundary Grids

A. Giuliani, Ann S. Almgren, John B. Bell, M. Berger, Marc T. Henry Frahan, Deepak Rangarajan

State redistribution is an algorithm that stabilizes cut cells for embedded boundary grid methods. This work extends the earlier algorithm in several important ways. First, state redistribution is extended to three spatial dimensions. Second, we discuss several algorithmic changes and improvements motivated by the more complicated cut cell geometries that can occur in higher dimensions. In particular, we introduce a weighted version with less dissipation in an easily generalizable framework. Third, we demonstrate that state redistribution can also stabilize a solution update that includes both advective and diffusive contributions. The stabilization algorithm is shown to be effective for incompressible as well as compressible reacting flows. Finally, we discuss the implementation of the algorithm for several exascale-ready simulation codes based on AMReX, demonstrating ease of use in combination with domain decomposition, hybrid parallelism and complex physics.

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Ultralocalized Optoelectronic Properties of Nanobubbles in 2D Semiconductors

Sara Shabani, Thomas P. Darlington, Colin Gordon, Wenjing Wu, Emanuil Yanev, James Hone, Xiaoyang Zhu, Cyrus E. Dreyer, P. James Schuck, Abhay N. Pasupathy
The optical properties of transition metal dichalcogenides have previously been modified at the nanoscale by using mechanical and electrical nanostructuring. However, a clear experimental picture relating the local electronic structure with emission properties in such structures has so far been lacking. Here, we use a combination of scanning tunneling microscopy (STM) and near-field photoluminescence (nano-PL) to probe the electronic and optical properties of single nano-bubbles in bilayer heterostructures of WSe2 on MoSe2. We show from tunneling spectroscopy that there are electronic states deeply localized in the gap at the edge of such bubbles, which are independent of the presence of chemical defects in the layers. We also show a significant change in the local bandgap on the bubble, with a continuous evolution to the edge of the bubble over a length scale of 20 nm. Nano-PL measurements observe a continuous redshift of the interlayer exciton on entering the bubble, in agreement with the band to band transitions measured by STM. We use self-consistent Schrödinger-Poisson (SP) simulations to capture the essence of the experimental results and find that strong doping in the bubble region is a key ingredient to achieving the observed localized states, together with mechanical strain.
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Charge transfer in ultrafast isomerization of acetylene ions

Wan-Dong Yu, Hao Liang, Cong-Zhang Gao, Shunsuke A. Sato, Bao-Ren Wei, Alberto Castro, A. Rubio, Liang-You Peng
First-principle calculations are employed to investigate the ultrafast isomerization of the acetylene cation and dication. We use the time-dependent density functional theory together with the Ehrenfest dynamics to track the coupled electron-nuclear dynamics. For both the acetylene cation and the dication, we observe nonadiabatic behaviors during the isomerization. We find that the charge transfer not only alters the electronic structure through nonadiabatic transitions, but also plays a key role in the subsequent hydrogen migration. We show that nonadiabatic transitions affect the structural modification of the excited potential energy surface, and also facilitate the ultrafast isomerization through the creation of a channel of increased negative charge that facilitates the proton movement. For the acetylene cation, we find a timescale for hydrogen isomerization of 66±4 fs, which is consistent with previous pump-probe experiments and on-the-fly calculations. For the dication, we find nonadiabatic transitions occur before the isomerization and identify a similar channel for the proton. Moreover, we find the formation of vinylidene-like structures is always accompanied by a characteristic charge separation on the carbon skeleton. These heuristics will be useful in identifying tautomers and motivating the ultrafast charge-transfer detection methods for future experiments.
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September 1, 2022

Large-N theory of critical Fermi surfaces. II. Conductivity

Haoyu Guo, Aavishkar A. Patel, Ilya Esterlis, S. Sachdev
A Fermi surface coupled to a scalar field can be described in a 1/N expansion by choosing the fermion-scalar Yukawa coupling to be random in the N-dimensional flavor space, but invariant under translations. We compute the conductivity of such a theory in two spatial dimensions for a critical scalar. We find a Drude contribution, and verify that the proposed 1/ω
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Wavefunction embedding for molecular polaritons

Pavošević,Fabijan, A. Rubio
Polaritonic chemistry relies on the strong light-matter interaction phenomena for altering the chemical reaction rates inside optical cavities. To explain and to understand these processes, the development of reliable theoretical models is essential. While computationally efficient quantum electrodynamics self-consistent field (QED-SCF) methods, such as quantum electrodynamics density functional theory (QEDFT) needs accurate functionals, quantum electrodynamics coupled cluster (QED-CC) methods provide a systematic increase in accuracy but at much greater cost. To overcome this computational bottleneck, herein we introduce and develop the QED-CC-in-QED-SCF projection-based embedding method that inherits all the favorable properties from the two worlds, computational efficiency and accuracy. The performance of the embedding method is assessed by studying some prototypical but relevant reactions, such as methyl transfer reaction, proton transfer reaction, as well as protonation reaction in a complex environment. The results obtained with the new embedding method are in excellent agreement with more expensive QED-CC results. The analysis performed on these reactions indicate that the strong light-matter interaction is very local in nature and that only a small region should be treated at the QED-CC level for capturing important effects due to cavity. This work sets the stage for future developments of polaritonic quantum chemistry methods and it will serve as a guideline for development of other polaritonic embedding models.
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Floquet engineering the band structure of materials with optimal control theory

Alberto Castro, Umberto De Giovannini, Shunsuke A. Sato, Hannes Hübener, A. Rubio
We demonstrate that the electronic structure of a material can be deformed into Floquet pseudo-bands with arbitrarily tailored shapes. We achieve this goal with a novel combination of quantum optimal control theory and Floquet engineering. The power and versatility of this framework is demonstrated here by utilizing the independent-electron tight-binding description of the π electronic system of graphene. We show several prototype examples focusing on the region around the K (Dirac) point of the Brillouin zone: creation of a gap with opposing flat valence and conduction bands, creation of a gap with opposing concave symmetric valence and conduction bands -- which would correspond to a material with an effective negative electron-hole mass --, or closure of the gap when departing from a modified graphene model with a non-zero field-free gap. We employ time periodic drives with several frequency components and polarizations, in contrast to the usual monochromatic fields, and use control theory to find the amplitudes of each component that optimize the shape of the bands as desired. In addition, we use quantum control methods to find realistic switch-on pulses that bring the material into the predefined stationary Floquet band structure, i.e. into a state in which the desired Floquet modes of the target bands are fully occupied, so that they should remain stroboscopically stationary, with long lifetimes, when the weak periodic drives are started. Finally, we note that although we have focused on solid state materials, the technique that we propose could be equally used for the Floquet engineering of ultracold atoms in optical lattices, and to other non-equilibrium dynamical and correlated systems.
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Normative theories of synaptic plasticity for representation and perceptual discrimination

Colin Bredenberg

The primary focus of this thesis is on normative synaptic plasticity theories, which establish computational links between experimentally observed synaptic plasticity phenomena and the critical behavioral and developmental functions that they support. In Chapter 2, we will introduce and define this class of theory from the ground up. We will also critically review previous literature dedicated to developing and testing normative plasticity theories, and produce a set of guidelines that future modeling efforts should attempt to adhere to in order to facilitate the testing of these theories. In Chapter 3, we show how a reward-modulated normative plasticity rule can produce sensory representations that compensate for noise and are efficient, in that they selectively represent task-relevant information without wasting metabolic resources. In Chapter 4, we observe that our algorithm has many similarities to perceptual learning in the mouse auditory cortex: we adapt it to demonstrate how reward and context information delivered by acetylcholine signals from the nucleus basalis could underlie both context-specific adaptation in auditory cortex and reward-based perceptual learning in mice. In Chapter 5 we develop a theory called `impression learning', which proposes a mechanism for learning sensory representations by adapting synapses to minimize a prediction error between predictive signals arriving at apical dendrites of pyramidal neurons and incoming sensory information at basal dendrites. This theory generalizes the Wake-Sleep algorithm, and improves on previous prediction-error based theories of learning by demonstrating how learning can occur continuously with sensory perception, rather than requiring an offline learning phase. In Chapter 6, we close off the thesis with a theoretical examination of the difficulties associated with studying complex, adaptive systems experimentally. Our results across the chapters of this thesis collectively demonstrate the importance of normative theories of plasticity, both for conceptualizing learning in the brain and informing experiments that investigate adaptive neural circuits.

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A hidden population of massive black holes in simulated dwarf galaxies

Ray S. Sharma, A. Brooks, Michael Tremmel, Jillian Bellovary, Angelo Ricarte, Thomas R. Quinn

We explore the characteristics of actively accreting MBHs within dwarf galaxies in the \textsc{Romulus25} cosmological hydrodynamic simulation. We examine the MBH occupation fraction, x-ray active fractions, and AGN scaling relations within dwarf galaxies of stellar mass 108<Mstar<1010M⊙ out to redshift z=2. In the local universe, the MBH occupation fraction is consistent with observed constraints, dropping below unity at Mstar<3×1010M⊙, M200<3×1011M⊙. Local dwarf AGN in \textsc{Romulus25} follow observed scaling relations between AGN x-ray luminosity, stellar mass, and star formation rate, though they exhibit slightly higher active fractions and number densities than comparable x-ray observations. Since z=2, the MBH occupation fraction has decreased, the population of dwarf AGN has become overall less luminous, and as a result, the overall number density of dwarf AGN has diminished. We predict the existence of a large population of MBHs in the local universe with low x-ray luminosities and high contamination from x-ray binaries and the hot interstellar medium that are undetectable by current x-ray surveys. These hidden MBHs make up 76% of all MBHs in local dwarf galaxies, and include many MBHs that are undermassive relative to their host galaxy's stellar mass. Their detection relies not only on greater instrument sensitivity but on better modeling of x-ray contaminants or multi-wavelength surveys. Our results indicate dwarf AGN were substantially more active in the past despite being low-luminosity today, and indicate future deep x-ray surveys may uncover many hidden MBHs in dwarf galaxies out to at least z=2.

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A follow-up on intermediate-mass black hole candidates in the second LIGO–Virgo observing run with the Bayes Coherence Ratio

Avi Vajpeyi, Rory Smith, Eric Thrane..., M. Isi, et. al.

The detection of an intermediate-mass black hole population (102−106 M⊙) will provide clues to their formation environments (e.g., disks of active galactic nuclei, globular clusters) and illuminate a potential pathway to produce supermassive black holes. Ground-based gravitational-wave detectors are sensitive to mergers that can form intermediate-mass black holes weighing up to ∼450 M⊙. However, ground-based detector data contain numerous incoherent short duration noise transients that can mimic the gravitational-wave signals from merging intermediate-mass black holes, limiting the sensitivity of searches. Here we follow-up on binary black hole merger candidates using a ranking statistic that measures the coherence or incoherence of triggers in multiple-detector data. We use this statistic to rank candidate events, initially identified by all-sky search pipelines, with lab-frame total masses >55 M⊙ using data from LIGO's second observing run. Our analysis does not yield evidence for new intermediate-mass black holes. However, we find support for eight stellar-mass binary black holes not reported in the first LIGO-Virgo gravitational wave transient catalog GWTC-1, seven of which have been previously reported by other catalogs.

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