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Nachrichten, Termine, Experten
Nachrichten, Termine, Experten
Bochum to Host 2nd AI in Materials Science Congress Addressing Challenges in Scientific Innovation and Industrial Integration
From November 18 to 19, 2025, the Ruhr University Bochum will be the focal point for cutting-edge discussions on the intersection of artificial intelligence (AI) and materials science. The 2nd Conference on Artificial Intelligence in Materials Science and Engineering (AI MSE 2025) promises to unite thought leaders, researchers, and industry innovators in exploring transformative advancements in this rapidly evolving field. For those unable to attend in person, the event offers a robust virtual platform, ensuring global participation.
Harnessing AI to Uncover Materials Science Mysteries
Materials science—a cornerstone of technological innovation—is increasingly turning to artificial intelligence to tackle complex challenges and accelerate discoveries. At AI MSE 2025, participants will delve into how AI is revolutionizing traditional approaches. The conference program features plenary lectures, oral and poster presentations, and interactive discussions, covering topics as diverse as materials discovery and advanced simulations to neurosymbolic methodologies and physically informed neural networks.
A key focus is how AI-driven techniques enable precise microstructure characterization, leveraging image-based methods to reconstruct and predict material properties. These insights have far-reaching implications, from developing stronger, lighter alloys to advancing energy-efficient materials for sustainable technologies.
Exploring Emerging Technologies and Innovative Approaches
AI MSE 2025 is set to highlight groundbreaking technologies, including:
Neurosymbolic Approaches: Combining symbolic reasoning with machine learning, these methods enhance interpretability and decision-making in complex material systems.
Physically-Informed Neural Networks: By embedding physical laws within AI architectures, researchers are achieving unparalleled accuracy in predicting material behavior.
Natural Language Processing (NLP) and Large Language Models: Exploring how AI can analyze and synthesize scientific literature to uncover novel materials faster.
Neural Ordinary Differential Equations (ODEs): These tools model the continuous-time dynamics of material processes, paving the way for real-time applications.
Active Learning: Machine learning paradigms that enable algorithms to query data adaptively for optimized efficiency.
Microstructure Characterization and Reconstruction: Leveraging image-based methodologies for analyzing and reconstructing material microstructures.
Predicting Properties/Microstructures: Utilizing AI to forecast material properties and structures based on microstructural characteristics.
Materials Discovery: Accelerating the discovery of innovative materials with AI-driven methodologies.
Machine Learning in Continuum Simulations: Enhancing continuum mechanics simulations through AI integration.
Machine Learning in Atomistic Simulations: Employing machine learning to analyze and simulate atomic-level material behavior.
Equally compelling are sessions on active learning, a machine learning paradigm where algorithms strategically query data to optimize learning. This approach is proving invaluable in simulations, from atomistic to continuum scales, unlocking unprecedented efficiencies in research workflows.
Collaboration Across Disciplines and Borders
Chairperson Prof. Dr. Markus Stricker of Ruhr University Bochum emphasizes the interdisciplinary nature of AI MSE 2025: “This event is a platform for bridging computational methods with materials engineering, fostering collaborations that transcend traditional academic and industrial silos.”
Attendees can anticipate not only gaining insight into the latest research but also forging connections that inspire cross-disciplinary projects. For added convenience, all presentations will be accessible on-demand for two weeks post-event, ensuring participants can revisit key discussions.
Join the Conversation on AI’s Impact in Materials Science
As the nexus of AI and materials science continues to evolve, AI MSE 2025 offers a unique opportunity to stay at the forefront of these advancements. Whether attending in Bochum or engaging online, participants will be part of a global dialogue shaping the future of engineering.
For more details and registration information, visit the AI MSE 2025 website.
Prof. Dr. Markus Stricker (Ruhr University Bochum)
https://dgm.de/aimse/2025/?utm_campaign=idw
AI MSE 2025 bridges cutting-edge research and industrial innovation, showcasing AI's transformative ...
Merkmale dieser Pressemitteilung:
Journalisten, Lehrer/Schüler, Studierende, Wirtschaftsvertreter, Wissenschaftler, jedermann
Chemie, Informationstechnik, Maschinenbau, Physik / Astronomie, Werkstoffwissenschaften
überregional
Forschungs- / Wissenstransfer, Wissenschaftliche Tagungen
Englisch
AI MSE 2025 bridges cutting-edge research and industrial innovation, showcasing AI's transformative ...
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