Pioneering the Future of Quantum Computing and Material SCIENCE
Research Center for Quantum Computing and Materials Informatics
Study Program in Informatics Engineering, Faculty of Computer Science, Universitas Dian Nuswantoro, Indonesia
Explore how our cutting-edge research integrates artificial intelligence, materials science, and information technology to revolutionize material development.
Our Mission
At QCMatics, our lab is dedicated to advancing the field of quantum computing and material science through the seamless integration of artificial intelligence, materials science, and information technology. Our mission is to optimize material development by leveraging data-driven approaches and innovative technologies. Our state-of-the-art lab environment fosters collaboration among material scientists, engineers, and data experts, enabling groundbreaking research and discoveries.
AI-Driven Research
Our lab employs artificial intelligence to analyze vast datasets, uncovering patterns and insights that drive material innovation. This approach accelerates the discovery of new materials with superior properties.
Interdisciplinary Collaboration
We bring together experts from various fields, including chemistry, physics, engineering, and computer science, to tackle complex material challenges and push the boundaries of material science.
State-of-the-Art Facilities
Our lab is equipped with advanced tools and technologies that enable precise experimentation and analysis, ensuring the highest standards of research excellence.
Advanced Techniques
Our Cutting-Edge Methods
Machine Learning
Utilizing machine learning algorithms to predict material properties and optimize material design, enhancing efficiency and innovation in material development.
Data Mining
Employing data mining techniques to extract valuable insights from extensive material datasets, facilitating the discovery of new materials and their applications.
Quantum Computing and Simulations
Implementing quantum computing and simulations to model and analyze the behavior of materials under various conditions, providing a deeper understanding of their properties and performance.
High-Throughput Screening
Conducting high-throughput screening to rapidly evaluate a large number of material candidates, accelerating the identification of promising materials for further research.
Interdisciplinary Research
Fostering interdisciplinary research collaborations to integrate diverse expertise and drive innovation in material science.
Collaborative Platforms
Creating collaborative platforms that connect industry, research institutions, and universities, promoting the exchange of knowledge and advancing material informatics.
Meet Our Interdisciplinary Team
Our team consists of leading experts in material science, computer, engineering, and data analytics, working together to unlock the potential of material data.
Prof. Dr. Supriadi Rustad
Lead Material Scientist
Dr. Muljono
Senior Artificial Intelligence
Dr. Sutojo
Principal Quantum Computing
Dr. De Rosal Ignatius Moses Setiadi
Quantum Security Expert
What Our Collaborators Say
Prof. Ir. Hermawan Kresno Dipojono, M.S.EE., Ph.D
Professor at Quantum and Nano Technologies Research Group, Institut Teknologi Bandung
“Collaborating with Quantum Computing and Material Informatics has significantly accelerated our research timelines. Their interdisciplinary approach is truly transformative.”
Dr. Moses Solomon
Advanced Energy and Environmental Materials and Technologies Research Group, University of Nottingham Ningbo, China
“The lab’s innovative techniques in data mining and machine learning have opened new avenues for our material development projects. Highly recommend!”
Prof. Dr. Kuwat Triyana
Professor at Physics Department, Universitas Gadjah Mada, Indonesia
“Material Informatics provides an unparalleled collaborative platform. Their expertise has been invaluable in our quest for advanced materials.”
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