Hybrid Conferencee

International Conference on Data Science for Materials Discovery (ICDSMD - 26)

16th - 17th September 2026 | Utrecht, Netherlands

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Utrecht. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Utrecht event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Utrecht conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Utrecht, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Utrecht."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDSMD aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data science in materials discovery
02
Machine learning for material properties
03
Predictive modeling in materials science
04
Data-driven approaches to material design
05
Applications of AI in materials research
06
Case studies in materials discovery
07
Sustainability in materials development
08
Data visualization for materials data
09
Integration of experimental and computational data
10
Challenges in materials data management
11
Future trends in materials data science
12
Collaborative platforms for materials research
13
Ethical considerations in materials data
14
Data mining techniques for materials discovery
15
Real-world applications of materials data science
16
Material informatics and data science
17
Benchmarking materials discovery methodologies
18
User experiences with materials data tools
19
Data-driven decision making in materials
20
Impact of data science on materials innovation