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We explore the oxidation of a single layer of black phosphorous using ab initio density functional theory calculation. We search for the equilibrium structures of phosphorene oxides, PO$_x$ with various oxygen concentrations $x$…

Materials Science · Physics 2020-07-22 Seoung-Hun Kang , Jejune Park , Sungjong Woo , Young-Kyun Kwon

The electronic and optical response of Bernal stacked bilayer graphene with geometry modulation and gate voltage are studied. The broken symmetry in sublattices, one dimensional periodicity perpendicular to the domain wall and out-of-plane…

Mesoscale and Nanoscale Physics · Physics 2018-06-13 Bor-Luen Huang , Chih-Piao Chuu , Ming-Fa Lin

Because of the reduced dielectric screening and enhanced Coulomb interactions, two-dimensional (2D) materials like phosphorene and transition metal dichalcogenides (TMDs) exhibit strong excitonic effects, resulting in fascinating…

Materials Science · Physics 2019-11-04 Xiaoyang Zheng , Xian Zhang

One of the main interests of 2D materials is their ability to be assembled with many degrees of freedom for tuning and manipulating excitonic properties. There is a need to understand how the structure of the interfaces between atomic…

The symmetry of the whole experimental setups, including specific sample environments and measurables, can be compared with that of specimens for observable physical phenomena. We, first, focus on one-dimensional (1D) experimental setups,…

Materials Science · Physics 2025-04-10 Sang-Wook Cheong , Fei-Ting Huang , Minhyong Kim

Even the best quality 2D materials have non-negligible concentrations of vacancies and impurities. It is critical to understand and quantify how defects change intrinsic properties, and use this knowledge to generate functionality. This…

Other Condensed Matter · Physics 2020-10-22 Pedro Miguel M. C. de Melo , Zeila Zanolli , Matthieu Jean Verstraete

We present feature finding and tracking algorithms in 3D in living cells, and demonstrate their utility to measure metrics important in cell biological processes. We developed a computational imaging hybrid approach that combines automated…

Biological Physics · Physics 2015-04-06 Kemp Plumb , Sarah Elaz , Vincent Pelletier , Maria L. Kilfoil

We demonstrate the integration of a thin BaTiO$_3$ (BTO) membrane with monolayer MoSe$_2$ in a dual gate device that enables in-situ manipulation of the BTO ferroelectric polarization with a voltage pulse. While two-dimensional (2D)…

Using symmetry as an inductive bias in deep learning has been proven to be a principled approach for sample-efficient model design. However, the relationship between symmetry and the imperative for equivariance in neural networks is not…

Machine Learning · Computer Science 2024-03-25 Sékou-Oumar Kaba , Siamak Ravanbakhsh

Twisted oxide membranes represent a promising platform for exploring moire physics and emergent quantum phenomena. However, the presence of amorphous interfacial dead layers in conventional oxide heterostructures impedes coherent coupling…

Materials Science · Physics 2026-01-30 Young-Hoon Kim , Reza Ghanbari , Min-Hyoung Jung , Young-Min Kim , Ruijuan Xu , Miaofang Chi

Topological properties of quantum materials are intimately related to symmetry. Here, we tune the magnetic order of the axion insulator candidate EuIn$_2$As$_2$ from its broken-helix ground state to the field-polarized phase by applying an…

We present a new version of the Ogre open source Python package with the capability to perform structure prediction of epitaxial inorganic interfaces by lattice and surface matching. In the lattice matching step a scan over combinations of…

Materials Science · Physics 2021-08-11 Saeed Moayedpour , Derek Dardzinski , Shuyang Yang , Andrea Hwang , Noa Marom

Nanotubes behave as semi-flexible polymers in that they can bend by a sizeable amount. When integrating a nanotube in a mechanical resonator, the bending is expected to break the symmetry of the restoring potential. Here we report on a new…

Mesoscale and Nanoscale Physics · Physics 2013-11-27 A. Eichler , J. Moser , M. I. Dykman , A. Bachtold

The marriage between a two-dimensional layered material (2DLM) and a complex transition metal oxide (TMO) results in a variety of physical and chemical phenomena that would not have been achieved in either material alone. Interesting recent…

Materials Science · Physics 2019-05-09 Kyeong Tae Kang , Jeongmin Park , Dongseok Suh , Woo Seok Choi

Based on density functional theory calculations, we investigated the two-dimensional in-plane ordered MXene (i-MXenes), focusing particularly on the magnetic properties. It is observed that robust two-dimensional magnetism can be achieved…

Mesoscale and Nanoscale Physics · Physics 2019-11-12 Qiang Gao , Honbin Zhang

Complex oxide interfaces have been one of the central focuses in condensed matter physics and material science. Over the past decade, aberration corrected scanning transmission electron microscopy and spectroscopy has proven to be…

Strongly Correlated Electrons · Physics 2021-04-29 Hangwen Guo , Mohammad Saghayezhian , Zhen Wang , Yimei Zhu , Jiandi Zhang , Ward Plummer

Symmetry adaptation techniques are applied to the determination of the intensity of two-photon transitions for transition ions in finite symmetry environments. We treat the case of intra-configurational transitions with some details and…

Atomic and Molecular Clusters · Physics 2007-05-23 M. Kibler

Techniques for coherent multidimensional optical spectroscopy have been developed and utilised to understand many different processes, including energy transfer in photosynthesis and many-body effects in semiconductor nanostructures.…

Optics · Physics 2017-01-24 Jonathan Tollerud , Jeffrey Davis

Recent experiments have explored two-dimensional electron gases (2DEGs) at oxide (111) surfaces and interfaces, finding evidence for hexagonal symmetry breaking in SrTiO$_3$ at low temperature. We discuss many-body instabilities of such…

Strongly Correlated Electrons · Physics 2018-02-28 Nazim Boudjada , Gideon Wachtel , Arun Paramekanti

Accurate localization of organ boundaries is critical in medical imaging for segmentation, registration, surgical planning, and radiotherapy. While deep convolutional networks (ConvNets) have advanced general-purpose edge detection to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Aarav Mehta , Priya Deshmukh , Vikram Singh , Siddharth Malhotra , Krishnan Menon Iyer , Tanvi Iyer
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