-
Notifications
You must be signed in to change notification settings - Fork 0
/
glossary.tex
55 lines (50 loc) · 2.16 KB
/
glossary.tex
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
\section*{List of Abbreviations}
\addcontentsline{toc}{section}{\protect\numberline{}List of Abbreviations}%
\subsection*{Atmosphere}
\begin{center}
\begin{tabular}{ p{.18\textwidth}p{.65\textwidth} }
\textbf{HOx } & OH + \ce{HO2}\\
\textbf{NOx } & NO + NO2\\
\textbf{NOy } & $\Sigma$ oxidized atmospheric odd-nitrogen species\\
\textbf{NOz } & NOy - NOx\\
\textbf{PAN } & PeroxyAcyl Nitrate\\
\textbf{pp\{m,b,t\}v } & parts per \{million, billion, trillion\} by volume\\
\end{tabular}
\end{center}
\subsection*{Modelling}
\begin{center}
\begin{tabular}{ p{.18\textwidth}p{.65\textwidth} }
\textbf{DSMACC } & Dynamically Simple Model of Atmospheric Chemical Complexity\\
\textbf{GEOSChem } & Chemistry component of NASA's Goddard Earth Observing System\\
\textbf{KPP } & Kinetic Pre Processor\\
\textbf{ROPA } & Rate of Production (and Loss) Analysis\\
\textbf{TUV } & Tropospheric, Ultraviolet and Visible Radiation Model\\
\end{tabular}
\end{center}
\subsection*{Artificial Intelligence}
\begin{center}
\begin{tabular}{ p{.18\textwidth}p{.65\textwidth} }
\textbf{CRI } & Common Representative Intermediates\\
\textbf{INCHI } & International Chemical Identifier (developed by IUPAC)\\
\textbf{IUPAC } & International Union of Pure and Applied Chemistry\\
\textbf{MACCS } & Molecular ACCess System\\
\textbf{MCM } & Master Chemical Mechanism\\
\textbf{MQN } & Molecular Quantum Number\\
\textbf{SMARTS } & SMILES arbitrary target specification\\
\textbf{SMILES } & Simplified Molecular-Input Line-Entry System\\
\end{tabular}
\end{center}
\subsection*{Artificial Intelligence}
\begin{center}
\begin{tabular}{ p{.18\textwidth}p{.65\textwidth} }
\textbf{AE } & Auto Encoder\\
\textbf{DBSCAN } & Density-Based Spatial Clustering of Applications with Noise\\
\textbf{DR } & Dimensionality Reduction\\
\textbf{GMM } & Gaussian Mixture Model\\
\textbf{GNN } & Graph Neural Network\\
\textbf{ML } & Machine Learning\\
\textbf{OPTICS } & Ordering Points To Identify the Clustering Structure\\
\textbf{PCA } & Principle Component Analysis\\
\textbf{t-SNE } & t-distributed Stochastic Neighbor Embedding\\
\end{tabular}
\end{center}