<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. …”

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

“…Functional groups are widely used in organic chemistry, because they provide a rationale to analyze physicochemical and reactivity properties. …”

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). …”

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)

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

Reward function related parameters. by Honglei Pang (22693724)

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DMTD algorithm. by Yunhu Huang (21402795)

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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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WGCNA and machine learning algorithms. by Shushu Wang (6870191)

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

Membership functions for speed and distance in the 41–43 m section. by Seung-Min Ryu (21463891)

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Membership functions for speed and distance in the 47–49 m section. by Seung-Min Ryu (21463891)

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

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

Membership functions for distance generated by the adaptive neuro–fuzzy inference system. by Seung-Min Ryu (21463891)

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