index.html

<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
  <!-- Replace the content tag with appropriate information -->
  <meta name="description" content="Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery">
  <meta property="og:title" content="material discovery"/>
  <meta property="og:description" content="material discovery"/>
  <meta property="og:url" content="https://romrawinjp.github.io/mn-mat-dis/"/>
  <!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
  <meta property="og:image" content="static/image/graphical_abstract.jpg" />
  <meta property="og:image:width" content="1200"/>
  <meta property="og:image:height" content="630"/>


  <meta name="twitter:title" content="Material Discovery">
  <meta name="twitter:description" content="Material Discovery">
  <!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
  <meta name="twitter:image" content="static/images/graphical_abstract.jpg">
  <meta name="twitter:card" content="summary_large_image">
  <!-- Keywords for your paper to be indexed by-->
  <meta name="keywords" content="Machine learning, Graph neural networks, Microneedle, Numerical simulation, Material simulation">
  <meta name="viewport" content="width=device-width, initial-scale=1">


  <title>Microneedle Material Discovery</title>
  <link rel="icon" type="image/x-icon" href="static/images/needle.ico">
  <link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
  rel="stylesheet">

  <link rel="stylesheet" href="static/css/bulma.min.css">
  <link rel="stylesheet" href="static/css/bulma-carousel.min.css">
  <link rel="stylesheet" href="static/css/bulma-slider.min.css">
  <link rel="stylesheet" href="static/css/fontawesome.all.min.css">
  <link rel="stylesheet"
  href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
  <link rel="stylesheet" href="static/css/index.css">

  <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
  <script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
  <script defer src="static/js/fontawesome.all.min.js"></script>
  <script src="static/js/bulma-carousel.min.js"></script>
  <script src="static/js/bulma-slider.min.js"></script>
  <script src="static/js/index.js"></script>
</head>
<body>


  <section class="hero">
    <div class="hero-body">
      <div class="container is-max-desktop">
        <div class="columns is-centered">
          <div class="column has-text-centered">
            <h1 class="title is-2 publication-title">Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery</h1>
            <div class="is-size-5 publication-authors">
              <!-- Paper authors -->
              <span class="author-block">
                <a href="https://romrawinjp.github.io/cv/" target="_blank">Romrawin Chumpu</a><sup>1, 3</sup>,</span>
                <span class="author-block">
                  <a href="https://www.researchgate.net/profile/Chun-Lin-Chu-2" target="_blank">Chun-Lin Chu</a><sup>2</sup>,</span>
                  <span class="author-block">
                    <a href="https://www.siit.tu.ac.th/page_bx.php?cid=112&cno=124&show=" target="_blank">Tanyakarn Treeratanaphitak</a><sup>1*</sup>,</span>
                  <span class="author-block">
                    <a href="https://www.nectec.or.th/hccru/staff/view/29" target="_blank">Sanparith Marukatat</a><sup>3*</sup>,
                  </span>
                  <span class="author-block">
                    <a href="https://www.siit.tu.ac.th/page_bx.php?cid=112&cno=122&show=" target="_blank">Shu-Han Hsu</a><sup>1*</sup></span>
                </div>

                  <div class="is-size-5 publication-authors">
                    <span class="author-block"><sup>1</sup> School of Integrated Science and Innovation (ISI), Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand<br>
                      <sup>2</sup> Taiwan Semiconductor Research Institute National Applied Research Laboratories, Hsinchu 30091, Taiwan<br>
                      <sup>3</sup> National Electronics and Computer Technology Center (NECTEC), Pathum Thani 12120, Thailand
                    </span>
                    <span class="eql-cntrb"><small><br><sup>*</sup>Coresponding authors</small></span>
                  </div>
                  <div class="column has-text-centered">
                    <span class="author-block">
                      <a href="https://www.sciencedirect.com/journal/engineering-applications-of-artificial-intelligence"> Engineering Applications of Artificial Intelligence </a>
                   </span>
                  </div>

                  <div class="column has-text-centered">
                    <div class="publication-links">
                         <!-- Arxiv PDF link -->
                      <span class="link-block">
                        <a href="https://authors.elsevier.com/c/1hjFB3OWJ94rNV" target="_blank"
                        class="external-link button is-normal is-rounded is-dark">
                        <span class="icon">
                          <i class="fas fa-file-pdf"></i>
                        </span>
                        <span>Paper</span>
                      </a>
                    </span>

                    <!-- Supplementary PDF link -->
                    <!-- <span class="link-block">
                      <a href="static/pdfs/supplementary_material.pdf" target="_blank"
                      class="external-link button is-normal is-rounded is-dark">
                      <span class="icon">
                        <i class="fas fa-file-pdf"></i>
                      </span>
                      <span>Supplementary</span>
                    </a>
                  </span> -->

                  <!-- Github link -->
                  <span class="link-block">
                    <a href="https://romrawinjp.github.io/mn-sim" target="_blank"
                    class="external-link button is-normal is-rounded is-dark">
                    <span class="icon">
                      <i class="fab fa-github"></i>
                    </span>
                    <span>Dataset</span>
                  </a>
                </span>

                <span class="link-block">
                  <a href="https://github.com/romrawinjp/mn-mat-dis" target="_blank"
                  class="external-link button is-normal is-rounded is-dark">
                  <span class="icon">
                    <i class="fab fa-github"></i>
                  </span>
                  <span>Code (Coming soon)</span>
                </a>
              </span>

                <!-- ArXiv abstract Link -->
                <!-- <span class="link-block">
                  <a href="https://arxiv.org/abs/<ARXIV PAPER ID>" target="_blank"
                  class="external-link button is-normal is-rounded is-dark">
                  <span class="icon">
                    <i class="ai ai-arxiv"></i>
                  </span>
                  <span>arXiv</span>
                </a>
              </span> -->
            </div>
            The link for our paper will be freely open until Oct 27, 2023. Thanks to <a href="https://www.elsevier.com/authors/submit-your-paper/sharing-and-promoting-your-article/share-link"> Elsevier's Share Link </a>.
          </div>
        </div>
      </div>
    </div>
  </div>
</section>


<!-- Teaser video-->
<section class="hero teaser">
  <div class="container is-max-desktop">
    <div class="hero-body">
      <img src="static/images/graphical_abstract.jpg" alt="overview-of-the-work"/>
      <h2 class="subtitle has-text-centered">
        This figure is the overview of our work. We propose a novel method combining between materials simulation and machine learning to accelerate the process of microneedle materials discovery.
      </h2>
    </div>
  </div>
</section>
<!-- End teaser video -->

<!-- Paper abstract -->
<section class="section hero is-light">
  <div class="container is-max-desktop">
    <div class="columns is-centered has-text-centered">
      <div class="column is-four-fifths">
        <h2 class="title is-3">Abstract</h2>
        <div class="content has-text-justified">
          <p>
            To commercialize the micro-nano needle as a drug delivery or biosensing platform, it is essential to validate the effectiveness and reliability of the piercing process for each needle material composition. However, proper microneedle material selection and fabrication requires sophisticated and costly semiconductor technology. This work aims to accelerate the material selection process of microneedles, focusing on polymeric materials due to their biocompatibility and flexibility. In this study, simulations of microneedles with various materials are used to generate training and testing data for a physics-informed machine learning model to predict von Mises stress distribution on microneedles of new materials. The training dataset is comprised of results from fifteen different materials. Different machine learning models are used, such as traditional tree-based, neural network, point cloud network, and graph-based models. Random-index selection is utilized to reduce the required number of data points by an order of magnitude. The graph attention network model is the best-performing model for predicting the von Mises stress of microneedles, with a mean square error of 8.3 × 10^(-5) MPa. The resulting model only requires 7 milliseconds to evaluate a new microneedle material, significantly faster than practical fabrication in a laboratory.  The models also successfully handle data with a decimal scale obtained from microstructure simulations and predict physical behavior such as stress curves.
          </p>
        </div>
      </div>
    </div>
  </div>
</section>
<!-- End paper abstract -->


<!-- Image carousel -->
<section class="hero is-small">
  <div class="hero-body">
    <div class="container">
      <div id="results-carousel" class="carousel results-carousel">
       <div class="item">
        <!-- Your image here -->
        <img src="static/images/carousel1.jpg" alt="MY ALT TEXT"/>
        <h2 class="subtitle has-text-centered">
          First image description.
        </h2>
      </div>
  </div>
</div>
</div>
</section>
<!-- End image carousel -->


<!-- Youtube video -->
<!-- <section class="hero is-small is-light">
  <div class="hero-body">
    <div class="container">
      Paper video. -->
      <!-- <h2 class="title is-3">Video Presentation</h2>
      <div class="columns is-centered has-text-centered">
        <div class="column is-four-fifths">
          
          <div class="publication-video">
            Youtube embed code here -->
            <!-- <iframe src="https://www.youtube.com/embed/JkaxUblCGz0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
          </div>
        </div>
      </div>
    </div>
  </div>
</section> -->
<!-- End youtube video -->


<!-- Video carousel -->
<!-- <section class="hero is-small">
  <div class="hero-body">
    <div class="container">
      <h2 class="title is-3">Another Carousel</h2>
      <div id="results-carousel" class="carousel results-carousel">
        <div class="item item-video1">
          <video poster="" id="video1" autoplay controls muted loop height="100%">
            Your video file here
            <source src="static/videos/carousel1.mp4"
            type="video/mp4">
          </video>
        </div>
        <div class="item item-video2">
          <video poster="" id="video2" autoplay controls muted loop height="100%">
            Your video file here
            <source src="static/videos/carousel2.mp4"
            type="video/mp4">
          </video>
        </div>
        <div class="item item-video3">
          <video poster="" id="video3" autoplay controls muted loop height="100%">\
            Your video file here
            <source src="static/videos/carousel3.mp4"
            type="video/mp4">
          </video>
        </div>
      </div>
    </div>
  </div> -->
</section>
<!-- End video carousel -->


<!-- Paper poster -->
<!-- <section class="hero is-small is-light">
  <div class="hero-body">
    <div class="container">
      <h2 class="title">Poster</h2>

      <iframe  src="static/pdfs/sample.pdf" width="100%" height="550">
          </iframe>
        
      </div>
    </div>
  </section> -->
<!--End paper poster -->


<!--BibTex citation -->
<section class="section" id="BibTeX">
    <div class="container is-max-desktop content">
      <h2 class="title">BibTeX</h2>
      <pre><code>
@article{chumpu2023mnmatdis,
  title = {Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery},
  journal = {Engineering Applications of Artificial Intelligence},
  volume = {126},
  pages = {106894},
  year = {2023},
  issn = {0952-1976},
  doi = {https://doi.org/10.1016/j.engappai.2023.106894},
  url = {https://www.sciencedirect.com/science/article/pii/S0952197623010783},
  author = {Romrawin Chumpu and Chun-Lin Chu and Tanyakarn Treeratanaphitak and Sanparith Marukatat and Shu-Han Hsu},
  keywords = {Machine learning, Graph neural networks, Microneedle, Numerical simulation},
}
    </code></pre>
    </div>
</section>
<!--End BibTex citation -->


  <footer class="footer">
  <div class="container">
    <div class="columns is-centered">
      <div class="column is-8">
        <div class="content">

          <p>
            This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a>.
          </p>

        </div>
      </div>
    </div>
  </div>
</footer>

<!-- Statcounter tracking code -->
  
<!-- You can add a tracker to track page visits by creating an account at statcounter.com -->

    <!-- End of Statcounter Code -->

  </body>
  </html>