Showing 2023Show all

491 papers · 1 filter

eess.AS2023★ 8 cited

An Implantable Piezofilm Middle Ear Microphone: Performance in Human Cadaveric Temporal Bones

John Z. Zhang, Lukas Graf, Annesya Banerjee +6

Purpose: One of the major reasons that totally implantable cochlear microphones are not readily available is the lack of good implantable microphones. An implantable microphone has…

eess.AS2023★ 10 cited

The UmboMic: A PVDF Cantilever Microphone

Aaron J. Yeiser, Emma F. Wawrzynek, John Z. Zhang +6

Objective: We present the "UmboMic," a prototype piezoelectric cantilever microphone designed for future use with totally-implantable cochlear implants. Methods: The UmboMic sensor…

cond-mat.str-el2023★ 20 cited

Observation of an electronic microemulsion phase emerging from a quantum crystal-to-liquid transition

Jiho Sung, Jue Wang, Ilya Esterlis +14

Strongly interacting electronic systems possess rich phase diagrams resulting from the competition between different quantum ground states. A general mechanism that relieves this f…

cond-mat.str-el2023★ 16 cited

Edge zeros and boundary spinons in topological Mott insulators

Niklas Wagner, Daniele Guerci, Andrew J. Millis +1

We introduce a real-space slave rotor theory of the physics of topological Mott insulators, using the Kane-Mele-Hubbard model as an example, and use it to show that a topological g…

cond-mat.quant-gas2023★ 156 cited

Observation of Bose-Einstein Condensation of Dipolar Molecules

Niccolò Bigagli, Weijun Yuan, Siwei Zhang +4

Ensembles of particles governed by quantum mechanical laws exhibit fascinating emergent behavior. Atomic quantum gases, liquid helium, and electrons in quantum materials all show d…

cond-mat.mtrl-sci2023★ 21 cited

Automated Grain Boundary Detection for Bright-Field Transmission Electron Microscopy Images via U-Net

Matthew J. Patrick, James K. Eckstein, Javier R. Lopez +6

Quantification of microstructures is crucial for understanding processing-structure and structure-property relationships in polycrystalline materials. Delineating grain boundaries…

cond-mat.mes-hall2023★ 52 cited

Nanoscale magnetism and magnetic phase transitions in atomically thin CrSBr

Märta A. Tschudin, David A. Broadway, Patrick Reiser +13

Since their first observation in 2017, atomically thin van der Waals (vdW) magnets have attracted significant fundamental, and application-driven attention. However, their low orde…

cs.AI2023★ 6 cited

Assessing SATNet's Ability to Solve the Symbol Grounding Problem

Oscar Chang, Lampros Flokas, Hod Lipson +1

SATNet is an award-winning MAXSAT solver that can be used to infer logical rules and integrated as a differentiable layer in a deep neural network. It had been shown to solve Sudok…

cond-mat.mes-hall2023★ 15 cited

Dynamical exciton condensates in biased electron-hole bilayers

Zhiyuan Sun, Yuta Murakami, Tatsuya Kaneko +2

Bilayer materials may support interlayer excitons comprised of electrons in one layer and holes in the other. In experiments, a non-zero exciton density is typically sustained by a…

cond-mat.mtrl-sci2023★ 3 cited

Impersonating a Superconductor: High-Pressure BaCoO, an Insulating Ferromagnet

Haozhe Wang, Xianghan Xu, Danrui Ni +4

We report the high-pressure synthesis (6 GPa, 1200 C) and ambient pressure characterization of hexagonal HP-BaCoO. The material (with the 2H crystal structure) has a…

cond-mat.mtrl-sci2023

Detecting Atomic Scale Surface Defects in STM of TMDs with Ensemble Deep Learning

Darian Smalley, Stephanie D. Lough, Luke Holtzman +6

Atomic-scale defect detection is shown in scanning tunneling microscopy images of single crystal WSe2 using an ensemble of U-Net-like convolutional neural networks. Standard deep l…

physics.ins-det2023

Comparison of readout systems for high-rate silicon photo-multiplier applications

M. L. Wong, M. Kołodziej, K. Briggl +11

Recent years have shown an increased use of silicon photo-multipliers (SiPM) in experiments as they are of reasonable cost, have relatively low power consumption and are easily ava…

quant-ph2023★ 10 cited

A Case for Synthesis of Recursive Quantum Unitary Programs

Haowei Deng, Runzhou Tao, Yuxiang Peng +1

Quantum programs are notoriously difficult to code and verify due to unintuitive quantum knowledge associated with quantum programming. Automated tools relieving the tedium and err…

cs.CR2023★ 2 cited

Intrusion Detection System with Machine Learning and Multiple Datasets

Haiyan Xuan, Mohith Manohar

As Artificial Intelligence (AI) technologies continue to gain traction in the modern-day world, they ultimately pose an immediate threat to current cybersecurity systems via exploi…

cs.AI2023★ 40 cited

The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective

George Gui, Olivier Toubia

Large Language Models (LLMs) have shown impressive potential to simulate human behavior. We identify a fundamental challenge in using them to simulate experiments: when LLM-simulat…

cond-mat.soft2023★ 11 cited

Dynamical Facilitation Governs the Equilibration Dynamics of Glasses

Rahul N. Chacko, François P. Landes, Giulio Biroli +3

Convincing evidence of domain growth in the heating of ultrastable glasses suggests that the equilibration dynamics of super-cooled liquids could be driven by a nucleation and grow…

hep-ex2023

First search for dark-trident processes using the MicroBooNE detector

MicroBooNE collaboration, P. Abratenko, O. Alterkait +185

We present a first search for dark-trident scattering in a neutrino beam using a data set corresponding to protons on target taken with the MicroBooNE detector…

cond-mat.str-el2023★ 7 cited

On the Adequacy of the Dynamical Mean Field Theory for Low Density and Dirac Materials

Anqi Mu, Zhiyuan Sun, Andrew J. Millis

The qualitative reliability of the dynamical mean field theory (DMFT) is investigated for systems in which either the actual carrier density or the effective carrier density is low…

astro-ph.HE2023★ 20 cited

Search for 10--1000 GeV neutrinos from Gamma Ray Bursts with IceCube

IceCube Collaboration, R. Abbasi, M. Ackermann +405

We present the results of a search for 10--1,000 GeV neutrinos from 2,268 gamma-ray bursts over 8 years of IceCube-DeepCore data. This work probes burst physics below the photosphe…

nucl-ex2023★ 8 cited

Identified charged-hadron production in Al, HeAu, and CuAu collisions at GeV and in UU collisions at GeV

PHENIX Collaboration, N. J. Abdulameer, U. Acharya +477

The PHENIX experiment has performed a systematic study of identified charged-hadron (, , , ) production at midrapidity in Al, HeAu, CuAu c…

astro-ph.GA2023★ 5 cited

Properties of 3D HI Filaments in the Smith High Velocity Cloud

Colin Holm-Hansen, M. E. Putman, D. A. Kim

We present findings of 3D filamentary structures in the Smith Cloud, a high-velocity cloud (HVC) located at , . We use data from the Galactic Arecibo L…

quant-ph2023★ 1 cited

State-insensitive wavelengths for light shifts and photon scattering from Zeeman states

Stuart J. Masson, Zhenjie Yan, Jacquelyn Ho +3

Atoms are not two-level systems, and their rich internal structure often leads to complex phenomena in the presence of light. Here, we analyze off-resonant light scattering includi…

hep-ex2023★ 3 cited

Study of High-Transverse-Momentum Higgs Boson Production in Association with a Vector Boson in the Final State with the ATLAS Detector

ATLAS Collaboration

This Letter presents the first study of Higgs boson production in association with a vector boson (V = W or Z) in the fully hadronic final state using data recorded by the A…

physics.ao-ph2023★ 2 cited

A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer

Abigail Bodner, Dhruv Balwada, Laure Zanna

Parameterizations of O(1-10)km submesoscale flows in General Circulation Models (GCMs) represent the effects of unresolved vertical buoyancy fluxes in the ocean mixed layer. These…