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\begin{document}


\booktitle{Submicron\\ Integrated Circuits}
\subtitle{This is the\\ Subtitle}

\editionstatement{This is the edition statement}
\editor{R.K. Watts}

\halftitlepage

\titlepage


\begin{contributors}
\name{Masayki Abe,} Fujitsu Laboratories Ltd., Fujitsu Limited, Atsugi
243-01, Japan

\name{L. A. Akers,} Center for Solid State Electronics Research, Arizona
State University, Tempe, AZ 85287-6206

\name{G. H. Bernstein,}\footnote{Present address: Department of Electrical and
Computer Engineering, University of Notre Dame, Notre Dame, IN 46556.}
Center for Solid State Electronics Research, Arizona
State University, Tempe, AZ 85287-6206
\end{contributors}


\begin{preface}
This is an example preface.
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\section*{This is a preface section}
This is an example of a preface.
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\prefaceauthor{R. K. Watts}
\end{preface}

\tableofcontents


\introduction
\author[R. K. Watts]{R. K. Watts}
\affil{AT\&T Bell Laboratories\\
Murray Hill, New Jersey}

The era of modern \inx{microelectronics}\inxx{microelectronics,modern} 
began in 1958 with the invention of the
integrated circuit by J. S. Kilby\inxx{Kilby\, J. S.}
 of Texas Instruments.\cite{kilby}
His first chip is shown in Fig.~I. For comparison,
Fig. I.2~shows a modern microprocessor chip, \cite{beren}.

This is the introduction.
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\begin{equation}
ABC {\cal DEF} \alpha\beta\Gamma\Delta\sum^{abc}_{def}
\end{equation}


\begin{figure}[h]
\vskip24pt
\caption{This is an introduction figure caption.}
\end{figure}

\begin{table}[h]
\vskip24pt
\caption{This is an introduction table caption.}
\end{table}

\part[Submicron Semiconductor Manufacture]
{Submicron Semiconductor\\ Manufacture}


\title[The Submicrometer Silicon MOSFET]
{The Submicrometer Silicon\\ MOSFET}
\author[J.R. Brews, K.K. Ng, \and R.K.
Watts]{J.R. BREWS, K.K. NG, \and R.K.
WATTS\footnote{Presently on leave at
NASA, Houston, Texas, USA.}}

\affil{AT\& T Bell Laboratories\\
Murray Hill, New Jersey}

\prologue{The sheer volumne of answers can often stifle insight...The purpose
of computing\inxx{computing,the purpose} is insight, not numbers.}
{Hamming \cite{hamming}}

\prologue{A simple analytical model should provide additional physical
insight\inxx{MOSFET,physical insight}
into the optimization of these devices.}
{Lee, Mayaram, and Hu, \cite{Hu}}

\section[Introduction and fugue]{Introduction\\ and fugue}
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\subsubsection{This is the subsubsection}
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\paragraph{This is the paragraph}
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\begin{equation}
\alpha\beta\Gamma\Delta
\end{equation}
and
\begin{eqnarray}
\alpha\beta\Gamma\Delta\nonumber\\
 &123\ 456
\end{eqnarray}

\begin{figure}[h]
\vskip2pt
\caption{Short figure caption.}
\end{figure}

\begin{figure}[h]
\vskip2pt
\caption{\protect\inx{Oscillograph} for memory address access operations, showing 500 ps
address access time and \protect\inx{superimposed signals}%
\protect\inxx{address,superimposed
signals} of address access in 1 kbit
memory plane.}
\end{figure}

\begin{table}[h]
\caption{Small Table}
\centering
\begin{tabular}{ccc}
\hline
one&two&three\\
\hline
C&D&E\\
\hline
\end{tabular}
\end{table}



\begin{table}[t]
\caption{Effects of the Two Types of Scaling Proposed by \protect\inx{Dennard} 
and\newline
Co-Workers.$^{a,b}$}
\begin{tabular*}{\textwidth}{@{\extracolsep{\fill}}lcc}
\hline
Parameter& $\kappa$ Scaling & $\kappa$, $\lambda$ Scaling\cr
\hline
Dimension&$\kappa^{-1}$&$\lambda^{-1}$\cr
Voltage&$\kappa^{-1}$&$\kappa^{-1}$\cr
Currant&$\kappa^{-1}$&$\lambda/\kappa^{2}$\cr
Dopant Concentration&$\kappa$&$\lambda^2/\kappa$\cr
\hline
\end{tabular*}
\begin{tablenotes}
$^a$Refs.~19 and 20.

$^b\kappa, \lambda>1$.
\end{tablenotes}
\end{table}


\subsubsection{Algorithm}
This is a sample algorithm.\inxx{algorithm,State transition}

\begin{algorithm}
{\bf state\_transition algorithm} $\{$
\        for each neuron $j\in\{0,1,\ldots,M-1\}$
\        $\{$   
\            calculate the weighted sum $S_j$ using Eq. (6);
\            if ($S_j>t_j$)
\                    $\{$turn ON neuron; $Y_1=+1\}$   
\            else if ($S_j<t_j$)
\                    $\{$turn OFF neuron; $Y_1=-1\}$   
\            else
\                    $\{$no change in neuron state; $y_j$ remains %
unchanged;$\}$ .
\        $\}$   
$\}$   
\end{algorithm}

\clearpage
\programcaption{This is a program fragment 
that finds the ground state wave function of a particle in a quadratic
potential using the Metropolis algorithm.}

\colone
\begin{verbatim}
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc
c  qmc.f: Finds ground state wave function of a particle in a          c
c         quadratic potential using the Metropolis algorithm.          c
c                                                                      c
c  taken from: "Projects in Computational Physics" by Landau and Paez  c 
c              copyrighted by John Wiley and Sons, New York            c      
c                                                                      c
c  written by: students in PH465/565, Computational Physics,           c
c              at Oregon State University                              c
c  supported by: US National Science Foundation, Northwest Alliance    c
c                for Computational Science and Engineering (NACSE),    c
c                US Department of Energy                               c
c                                                                      c
c  UNIX (DEC OSF, IBM AIX): f77 qmc.f                                  c
c                                                                      c
c  comment: If your compiler complains about drand48, srand48          c
c           uncomment the define statements further down.              c
c           This might take a couple of minutes.                       c
cccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc
        Program qmc
        Implicit none
        Integer i, j, max, element, prop(100)
        Real*8 change, drand48, energy, newE, oldE, out, path(100)
        max  = 250000
        Open(9, FILE='qmc.dat', Status='Unknown')
        call seed48(68111)       
c initial path and initial probability 
        Do 10 j=1,100
          path(j)=0.0
          prop(j)=0 
 10     Continue
c find energy of initial path
        oldE = energy(path, 100)
        Do 20 i=1,max
c pick one random element
          element = drand48()*100+1
c change it by an random value -0.9..0.9
          change  = ((drand48()-0.5)*2)
          path(element)=path(element)+change
\end{verbatim}
\endcolone
\coltwo
\begin{verbatim}
c find the new energy
          newE=energy(path, 100)
c reject change if new energy is greater and the Boltzmann factor
c is less than another random number 
          If ((newE.GT.oldE) .AND. (exp(-newE+oldE).LT.drand48())) 
          Then path(element)=path(element)-change
          Endif
c add up probabilities
          Do 30 j=1,100
            element=path(j)*10+50                          
            prop(element)=prop(element)+1
 30       Continue
          oldE = newE
 20     Continue
c write output data to file
        Do 40 j=1,100
          out=prop(j)
          Write(9,*) j-50, out/max
 40     Continue
        Close(9)
        Stop 'data saved in qmc.dat'
        End
c
c function calculates energy of the system
        Function energy(array, max)
        Implicit none
        Integer i, max
        Real*8 energy, array(max)
        energy=0
        Do 50 i=1,(max-1)
           energy=energy + (array(i+1)-array(i))**2 + array(i)**2
 50     Continue
        Return
        End
\end{verbatim}
\endcoltwo
\vskip24pt
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\begin{quote}
This is a sample of extract or quotation.\inxx{quotation}%
\inxx{quotation,extract}
This is a sample of extract or quotation.
This is a sample of extract or quotation.
\end{quote}

\begin{enumerate}
\item
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\item
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\end{enumerate}

\begin{itemize}
\item
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\item
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\end{itemize}

\begin{itemize}
\item[]
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\item[]
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\end{itemize}

\begin{glossary}
\term{GaAs}Gallium Arsinide. For similar device sizes GaAs transistors 
have three to
five times greater transconductance than those of of silicon bipolar
and MOS transistors.

\term{VLSI}Very Large Scale Integration. Since the mid-1970's 
VLSI technology has been successfully used in many areas, but its effect on
computers of all shapes and sizes has been the most dramatic. Some of the
application areas got boosts in performance while others became
feasible.

\end{glossary}


\section{Summary}
This is a \inx{summary} of this article.

\begin{acknowledgments}
The authors wish to thank Drs.~T. Misugi, M. Kobayashi, and M. Fukuta for%
\inxx{Misugi\, Dr. T.}\inxx{Kobayashi\, Dr. M.}%
\inxx{Fukuta\, Dr. M.}
their encouragement and support. Their authors also wish to thank their
colleagues...
\end{acknowledgments}


Here are some references: \cite{kilby}, \cite{beren}.

\begin{references}
\bibitem{kilby}J. S. Kilby,
``Invention of the Integrated Circuit,'' {\it IEEE Trans. Electron Devices,}
{\bf ED-23,} 648 (1976).

\bibitem{hamming}R. W. Hamming,
                 {\it Numerical Methods for Scientists and 
                 Engineers}, Chapter N-1, McGraw-Hill, 
                 New York, 1962.

\bibitem{Hu}J. Lee, K. Mayaram, and C. Hu, ``A Theoretical
               Study of Gate/Drain Offset in LDD MOSFETs''
                     {\it IEEE Electron Device Lett.,} {\bf EDL-7}(3). 152 
                     (1986).

\bibitem{beren}A. Berenbaum, 
B. W. Colbry, D.R. Ditzel, R. D Freeman, and 
K.J. O'Connor, ``A Pipelined 32b Microprocessor with 13 kb of Cache Memory,''
{it Int. Solid State Circuit Conf., Dig. Tech. Pap.,} p. 34 (1987).
\end{references}


Alternative Reference form:

\begin{namedchapreferences}{kil76}
\bibitem[kil76]{xkilby}J. S. Kilby,
``Invention of the Integrated Circuit,'' {\it IEEE Trans. Electron Devices,}
{\bf ED-23,} 648 (1976).

\bibitem[ham62]{xhamming}R. W. Hamming,
                 {\it Numerical Methods for Scientists and 
                 Engineers}, Chapter N-1, McGraw-Hill, 
                 New York, 1962.

\bibitem[hum86]{xHu}J. Lee, K. Mayaram, and C. Hu, ``A Theoretical
               Study of Gate/Drain Offset in LDD MOSFETs''
                     {\it IEEE Electron Device Lett.,} {\bf EDL-7}(3). 152 
                     (1986).
\end{namedchapreferences}

\section{Sample Chapter Bibliography}
A chapter bibliography using Bib\TeX\ is optional, but if you do want
to use Bib\TeX\ here are the commands that will make it work in one
chapter of an edited book.

Here are citations that are activated
with the chapbibliography, using chapbblname `edbksamp'. \cite{bm84}.
\cite{jb:spectral},
\cite{jb:uncert},
\cite{bhw:blproof},
\cite{cw:cardspline}.

\bibliographystyle{plain}
\chapbblname{edbksamp}
\chapbibliography{edbkbib}

\appendix{This is the Appendix Title}
This is an appendix with a title.
\begin{equation}
\alpha\beta\Gamma\Delta
\end{equation}\inxx{Appendix,Title}

\begin{figure}[h]
\caption{This is an appendix figure caption.}
\end{figure}

\begin{table}[h]
\caption{This is an appendix table caption.}
\centering
\begin{tabular}{ccc}
\hline
one&two&three\\
\hline
C&D&E\\
\hline
\end{tabular}
\end{table}

\appendix{}
This is an appendix without a title.

Here is a math test to show the difference between using Computer Modern
math fonts and MathTimes math fonts. When MathTimes math fonts are used
the letters in an equation will match TimesRoman italic in the text.
({\it g, i, y, x, P, F, n, f, etc.}) Caligraphic fonts, used for
$\cal ABC$ below, will stay the same
in either case.
\begin{equation}
g_i(y|f)=\sum_x P(x|F_n)f_i(y|x){\cal ABC}
\end{equation}
where $g_i(y|F_n)$ is the function specifying the probability an object will
display a value $y$ on a dimension $i$ given $F_n$ the observed feature
structure of all the objects.


\printindex

\end{document}

