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5 results for “nanocavities”
Evolution of Nanocavities to Ductile Fractures in Crustal-Scale Faults at the Base of the Seismogenic Zone
<p>cpr files containing EBSD crystallographic data.</p>
Lasing of moiré trapped MoSe2/WSe2 interlayer excitons coupled to a nanocavity
<p>Moiré trapped interlayer excitons (IXs) in heterobilayer transition metal dichalcogenides currently attract strong interest due to their potential for non-classical light generation, coherent spin-photon interfaces and exploring novel correlated phases of electrons. Here, we report lasing of moiré trapped IXs by integrating a pristine hBN-encapsulated MoSe<sub>2</sub>/WSe<sub>2</sub> heterobilayer in a high-Q (> 104) nanophotonic cavity. We control the detuning between the IX line and the cavity mode with a magnetic field and measure the dipolar coupling strength to the cavity mode to be 78 ± 4 μeV, fully consistent with the 82 μeV predicted by theory. The emission from the cavity mode shows clear threshold-like behavior. We observe a superlinear power dependence accompanied by a narrowing of the linewidth as the distinct features of lasing. The onset and prominence of these threshold-like behaviors are significant at resonance whilst weak off-resonance. Our results show that a lasing transition can be induced in interacting moiré trapped IXs with macroscopic coherence extending over the lengthscale of the cavity mode. Such systems raise interesting perspectives for low-power switching and synaptic nanophotonic devices using 2D materials.</p>
Dataset for "Ultra-strong coupling of a single molecule to a plasmonic nanocavity: A first-principles study"
<p># Data and code for "Ultra-strong coupling of a single molecule to a plasmonic nanocavity: A first-principles study," M. Kuisma, B. Rousseaux, K.M. Czajkowski, T.P. Rossi, T. Shegai, P. Erhart, T.J. Antosiewicz, ACS Photonics, doi:10.1021/acsphotonics.2c00066 (2022).</p> <p><br> ## Contents</p> <p>* *data-{type}/*: reproducible data<br> * *src/*: input scripts</p> <p><br> ## Description of the data</p> <p>The data are stored in directories *data-{type}/*. The contents of the directories<br> can be reproduced with the included input scripts.</p> <p>The data are organized in subdirectories *data-{type}/{system}/* corresponding to<br> the considered nanoparticle-molecule systems and simulation type:</p> <p>* data-fd: free energy calculations done with the finite difference mode<br> * data-lcao: strong coupling calculations done with LCAO mode<br> * data-d3: DFT-D3 calculations</p> <p>The contents of each subdirectory are:</p> <p>* *data-{fd,lcao,d3}/{system}/structure.xyz*: physical atomic structure<br> * *data-lcao/{system}/td-x/dm.dat*: delta-kick-induced time-dependent dipole moment<br> * *data-lcao/{system}/td-x/dm_abs_Lorentz_0.100.dat*: photoabsorption spectrum</p> <p>The spectrum plots in the article correspond to the first (x values) and<br> second (y values) columns of the spectrum files.</p> <p>## Reproduction of the data</p> <p>The data was produced using the Python scripts in *src/*,<br> Python version 3.7.3, GPAW version 20.1.0, libxc version 4.3.4,<br> ASE version 3.20.0, NumPy version 1.16.2, and SciPy version 1.2.1.</p> <p>The calculation of the data of a system consists of<br> the following steps (in *bash* shell with, e.g., system=rlx-ico-Al147`):</p> <p>1. Ground-state calculation:<br> * Copy the gs folder to a data-lcao/{system} folder<br> * Set up parellel calculaton parameters as necessary for the computing infrastructure (parallel.py)<br> * Select the Poisson Solver in the settings.py file by commenting out / uncommenting:<br> * for single particles or molecules use poissonsolver = PoissonSolver(eps=eps, remove_moment=9)<br> * otherwise comment out the above line and uncomment the last 8 lines<br> * Submit the gs.py calculation as appropriate for the particular system<br> 2. Time-propagation calculation:<br> * Requires finished ground-state calculation<br> * Set up parellel calculaton parameters as necessary for the computing infrastructure (parallel.py)<br> * Submit the td.py calculation as appropriate for the particular system<br> 3. Spectrum calculation:<br> * Requires finished time-propagation calculation (30 fs propagation)<br> * Run the `$ python spec.py` script</p> <p>Note that the example python scripts use variables STARTTIME and WALLTIME to define<br> allocated compuing time in HPC environments. The `WALLTIME` and `STARTTIME` environment<br> variables defined in *submit.sbatch* are required for a clean exit of the calculation<br> within the allocated time.</p> <p>If the ground-state or time-propagation calculations do not finish within the<br> allocated time, the same *gsc.py* or *tdc.py* scripts can be (re)run to continue<br> the calculation.</p>
Lasing of moiré trapped MoSe2/WSe2 interlayer excitons coupled to a nanocavity
Open the record for dataset details and reuse information.
Thermal Simulation and Experimental Analysis of Optically Pumped InP-on-Si Micro- and Nanocavity Lasers
<p>The source data of article on ArXiv: https://arxiv.org/abs/2112.06257</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.