Update introductory paragraph

Author: LSchwiebert

index.html

@@ -15,7 +15,7 @@
   <meta name="viewport" content="width=device-width, initial-scale=1">
 
   <title>GOMC - GPU-Optimized Monte Carlo</title>
-  <meta name="description" content="GPU Optimized Monte Carlo (GOMC) is open-source software for simulating many-body molecular systems using the Metropolis Monte Carlo algorithm. Capable of running on single and multi-core architecture.">
+  <meta name="description" content="GPU Optimized Monte Carlo (GOMC) is open-source software for simulating many-body molecular systems using the Metropolis Monte Carlo algorithm. Capable of running on single and multicore architectures.">
   <meta name="keywords" content="monte carlo,gpu,adsoption,free energy,self assembly,phase equilibrium,vapor liquid,parallel computing,cuda">
   <meta name="author" content="Younes Nejahi">
   <meta name="application-name" content="GPU Optimized Monte Carlo (GOMC)">
@@ -74,16 +74,16 @@
       <p class="paragraphBlock">
         GOMC is open-source software for simulating molecular systems using the 
         Metropolis Monte Carlo algorithm. The software has been written in 
-        object oriented C++, and uses OpenMP and NVIDIA CUDA to allow for 
-        execution on multi-core CPU and GPU architectures. GOMC employs 
+        object-oriented C++, and uses OpenMP and NVIDIA CUDA to allow for 
+        execution on multicore CPU and GPU architectures, respectively. GOMC employs 
         widely-used simulation file types (PDB, PSF, CHARMM-style parameter 
-        files) . GOMC can be used to study vapor–liquid equilibria, adsorption 
+        files). GOMC can be used to study vapor–liquid equilibria, adsorption 
         in porous materials, surfactant self-assembly, and condensed phase 
         structure for complex molecules. To learn more about GOMC, please refer 
         to our 
         <a href="gettingstarted.html">documentation</a>
-        and recently published 
-        <a href="https://doi.org/10.1016/j.softx.2018.11.005">GOMC paper.</a>
+        and our most recently published description of the 
+        <a href="https://doi.org/10.1016/j.softx.2020.100627">GOMC software</a>.
       </p>
     </div>