layout | title | menu_title | menu_icon |
---|---|---|---|
page |
LLM in Materials and Chemistry March Madness Hackathon |
Home |
house-door |
{:.secondary}
-
{% if site.registration_status == "soon" or site.registration_status == "open" or site.registration_status == "demo" %}
- {{ site.registration_opens_date }}
-
Applications open for participants
{% if site.registration_status == 'open' %} Register now {% elsif site.registration_status == 'closed' %} Registration has closed {% elsif site.registration_status == 'soon' %} Registration opens soon {% endif %}
{% endif %}
<dt>{{ site.registration_closes_date }}</dt>
<dd>Applications close</dd>
<dt>{{ site.event_date }}</dt>
<dd>Hackathon date</dd>
</dl>
{% if site.event_status != "over" %}
During the event, teams will collaborate on projects aimed at harnessing the potential of large language models, in topics such as generating novel chemical compound structures, optimizing materials for specific applications, predicting material properties, automating synthesis routes, and more. By fusing state-of-the-art AI techniques with deep scientific knowledge, the hackathon aims to accelerate research and development in materials and chemistry.
Join us for the excitement of innovation, collaboration, and discovery as we push the boundaries of what's possible in materials science and chemistry using large language models. Prepare to be amazed by the groundbreaking solutions that will emerge from this cutting-edge hackathon!
The event will take place virtually, using a combination of video conferencing (Zoom) for meetings and seminars, and discussion forums (Slack, Miro). Slack, Miro, and Zoom links will be shared upon registration.
Will be announced soon!
{% else %}
{% endif %}
- The Materials Research Coordination Network (MaRCN)
- The Materials Data Facility
- The Materials Research Data Alliance (MaRDA)