Accepted papers

Accepted Papers

Long Papers:

• An Ontology for Machine Learning Interatomic Potentials
  Daniel Hernández, Jong Hyun Jung, Yuji Ikeda, Yongliang Ou, Pranav Kumar, Tom Schächtel, Wenchuan Liu, Xin Li, Xi Zhang, Xiang Xu, Lifang Zhu, Fritz Körmann, Steffen Staab and Blazej Grabowski

• Semantic enrichment of additive manufacturing technology data for machine learning-based optimization of Laser Beam Powder Bed Fusion process
  Katsiaryna Kosarava and Bartłomiej Wysocki

• Large Language Models for Creating BFO-Compliant Taxonomies from Structured Texts: A Demonstration on Tensile Testing Taxonomy
  Hossein Beygi Nasrabadi, Farzaneh Mahdavi, Joerg Waitelonis and Harald Sack

• Automatically Building and Updating a Knowledge Graph of MLIP Models
  Alexis Beer, Liudmyla Klochko and Mathieu D'Aquin

• Towards Object-Oriented Linked Data Profiles for Material Science
  Simon Stier, Lukas Gold, Matthias Albert Popp, Simon Feiler, Gerhard Goldbeck, Yoav Nahshon, Andreas Räder, Jesper Friis, Simon Clark and Patrick Lambrix

• Mined from Scientific Literature: Process Schemas for Atomic Layer Deposition and Etching in Materials Science
  Sameer Sadruddin, Eleni Poupaki, Alex Watkins, Bora Karasulu, Adrie Mackus, Erwin Kessels, Sören Auer and Jennifer D'Souza

• The State of Uncertainty Representation in Copolymer Chemistry Knowledge Artifacts
  Sarah T. Tüzün and Birgitta König-Ries

• Real-world Application of MDS-Onto: Ontology-driven Knowledge Graphs to Accelerate Discovery in Materials Science
  Erika Barcelos, Ozan Dernek, Ethan D. Frakes, Rishabh Kundu, Van D. Tran, Holly Schreiber, Redad Mehdi, Shawn Liang, Quynh Tran, Yinghui Wu, Mengjie Li, Laura S. Bruckman and Roger H. French

• Semantic Materials Science for Large Scale Molecular Representation Learning
  Quynh Tran, Holly Schreiber, Erika Barcelos, Ozan Dernek, Yinghui Wu, Laura S. Bruckman, Roger H. French, Isabella Giammattei, Meredith Francis and Katherine Karkosiak

• The PolyLab ontology - a semantic model of laboratory processes and their plans
  Marta Dembska, Martin Held and Sirko Schindler

Short Papers :

• Iterative AI-Assisted Ontology Engineering: Lessons Learned from Developing the CASTON ontology for Metal Casting, Materials and Manufacturing
  He Tan, Ziyu Li, Xuan Liu and Anders Jarfors

• The Federated Data Space Infrastructure of Materials Commons: Concept and Architecture
  Simon Stier, Marek Cebecauer, Jakub Klímek, Jörg Schaarschmidt, Andreas Räder, Natalia Bedoya-Martinez, Rickar Armiento and Lukas Gold