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about.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Liu Group AIDAM Database</title>
<link rel="icon" type="image/png" href="./Images/C60_logo_circle.png">
<link rel="stylesheet" href="site_style.css">
<script type="module" src="main_page.js" ></script>
</head>
<body class="body">
<header class="siteheader">
<div>
<span class="siteheader logo">
<a href="index.html"><img src="Images/header_logo.png" alt="Liu Group Logo"></a>
</span>
<ul>
<li><a href="index.html">HOME</a></li>
<li><a href="search.html">SEARCH</a></li>
<li><a href="about.html">ABOUT</a></li>
<li><a href="news.html">NEWS</a></li>
<li><a href="contact page/contact.html">CONTACT</a></li>
</ul>
</div>
<br>
</header>
<main>
<p>We are a computational research group leveraging AI and data to understand
and design carbon materials for sustainability applications. We curate data from
databases and atomistic simulations. We use machine learning tools to explore design
space. We apply our research to understand complicated interface chemistry. Our goal is
to create the “AIDAM” (AI-Driven Atomistic Materials design) platform which is able to
predict the properties of functional carbon materials quickly and accurately. <br>
To learn more, visit Professor Mingjie Liu's <a href="https://liu.chem.ufl.edu/">website</a>.
</p>
</main>
<footer class="sitefooter">
<p>
Created by Liu Research Group at University of Florida
<hr>
<a href="https://liu.chem.ufl.edu/research/">Learn more about our research</a>
</p>
</footer>
</body>
</html>