polbeni.github.io/software.html at main · polbeni/polbeni.github.io · GitHub

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
<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>Pol Benítez Colominas - PhD student</title>
        <link rel="stylesheet" href="styles.css">
        <link href='https://fonts.googleapis.com/css?family=DM Sans' rel='stylesheet'>
        <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
    </head>

    <body>
        <header>
            <h1>Pol Benítez Colominas</h1>
            <h3>FI PhD Candidate at UPC</h3>
            <nav class="navheader">
                <ul>
                    <li><a href="index.html">About</a></li>
                    <li><a href="research.html">Research</a></li>
                    <li><a href="publications.html">Publications</a></li>
                    <li><a href="software.html">Software</a></li>
                    <li><a href="cv.html">CV</a></li>
                </ul>
            </nav>
        </header>

        <main>


            <div class="container">
                <h2><center>Software developed</center></h2>
                <h3>Materials science</h3>
                <nav>
                    <ul>
                        <li><b><u><a href="https://github.com/polbeni/materials-modelling" style="color:black; text-decoration:none;">Materials Modelling tools</a></u></b>:
                            Scripts and utilities for computational materials science modelling.
                        </li>
                        <li><b><u><a href="https://github.com/polbeni/GNN-materials" style="color:black; text-decoration:none;">Graph Neural Networks for materials</a></u></b>:
                            Code to generate graphs from a unit cell of a crystal material and train Graph Neural Networks to predict properties of materials.
                        </li>
                        <li><b><u><a href="https://github.com/polbeni/PyMCSP" style="color:black; text-decoration:none;">PyMCSP</a></u></b>: a software for Crystal Structure Prediction and diffraction study.
                        </li>
                    </ul>
                </nav>
            </div>


</main>
<footer>
    <p>&copy; 2026 Pol Benítez Colominas. All rights reserved.</p>
    <p>Last update: 2026-02-16</p>
</footer>

</body>
</html>