<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

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Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. by Roukayatou R. Ouedraogo (20460980)

Reward function related parameters. by Honglei Pang (22693724)

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Path planning chart for Environment 1 (10 × 10, destination containing obstacles). by Tengfei Ma (597633)

Path planning chart for Environment 2 (10 × 10, destination containing obstacles). by Tengfei Ma (597633)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

Type-1 membership function for distance. by Seung-Min Ryu (21463891)

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Type-1 membership function for speed. by Seung-Min Ryu (21463891)

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The first movement scenario contains two UAVs and two obstacles. by Quoc Bao Diep (18452207)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

Interval type-2 membership function for speed. by Seung-Min Ryu (21463891)

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Interval type-2 membership function for distance. by Seung-Min Ryu (21463891)

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