Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics by Rama K. Vasudevan (1612174)

Comparison between algorithm and expert cell counting. by Adam L. Tyson (10892822)

Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

“…Python implementation of the algorithm and demonstration of how to use the functions.…”

RNAalifold output for local folding of alignment region of interest corresponding to HXB2 reference 7662–8051. by Jordan P. Skittrall (5100746)

Schematic representations of coding potential of the 561 whole genome sequences in our analysis at putative open reading frames. by Jordan P. Skittrall (5100746)

Data set of nameplate exposure of electrical equipment. by Hao Wu (65943)

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Test results of different training methods. by Hao Wu (65943)

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Schematic diagram of subpixel convolution. by Hao Wu (65943)

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Training results of data sets with different sizes. by Hao Wu (65943)

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S1 Dataset - by Hao Wu (65943)

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PS-UNet++ model structure. by Hao Wu (65943)

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Comparison of training results of data sets with different sizes. by Hao Wu (65943)

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Network structure diagram of UNet++. by Hao Wu (65943)

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Ablation test results of the data set of electrical equipment nameplate exposure. by Hao Wu (65943)

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Sub-pixel convolution upsampling module. by Hao Wu (65943)

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Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…Rosetta scores range from −250 to ≈ 18 000 Rosetta Energy Units (REU). ROSETTA’s scoring functions with default weights support our claim that many structures exhibit lower scores, as the most structures can be found for lower scores where a high bin count can be observed (A). …”

The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. by Xunqian Xu (21261899)

Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... by Marc Durand (556746)

<i>L</i>^{<i>AB</i>/<i>F</i>} quality assessment results. by Hui Huang (4122)