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Advanced Condensed Matter Engineering Lab
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The lab advances automated and autonomous experimentation using robots and AI.
AboutAbout the lab
Making experiments automated and autonomous, and building the mathematical models behind them
The Advanced Condensed Matter Engineering Lab (Ono Lab) studies the automation and autonomy of experiments and measurements using robots and AI.
The lab aims to automate difficult experimental operations such as handling powders and high-viscosity fluids, digitize the tacit knowledge of skilled experts, and build fully autonomous measurement and experimental systems.
As foundations for autonomous experiments, the lab also develops physical and mathematical models for optimal experimental design, analysis of large-scale measurement data, and inverse design of materials.
The lab accepts fourth-year undergraduates from the Applied Physics Course in the Department of Applied Natural Sciences, School of Engineering, Osaka University, and graduate students from the Applied Physics Course in the Department of Physical Sciences.
Key terms
- Tacit knowledge
- Intuition and know-how held by experienced people that is hard to put into words.
- Inverse design
- A method that starts from the target properties and works backward to find a material that has them.
- Optimal experimental design
- A method for choosing measurement points by reasoning about where it is most rational to measure.
NewsLab news
Paper co-authored with the National Institutes for Quantum Science and Technology wins the Paper Award of the Magnetics Society of Japan
A doctoral student received the "Ha" (Break) award in AIST's "Kakusei (Awakening) Project"
A doctoral student won the Excellent Poster Award at a lecture meeting of the Applied Physics alumni association
A master's student won 3rd Prize at AI4X Accelerate Conference 2026
ResearchResearch themes
The Ono Lab advances the automation and autonomy of experiments and measurements by combining robotics, AI, and mathematical science. In addition to making difficult experimental operations autonomous and building the mathematical models that support them, the lab works on AI analysis of large-scale data from quantum beam measurements such as synchrotron radiation and neutrons, and on developing models for the inverse design of materials.
*Illustrative imageAutomating and Autonomizing Experiments
The lab robotizes and automates processes that are hard to handle, such as those involving powders and non-Newtonian fluids. Combining the tacit knowledge of skilled experts with physical insight, it is building ultra-compact, high-speed autonomous experimental systems.
*Illustrative imageMathematical Models for Autonomous Experiments
The lab develops Bayesian experimental design, optimal experimental design, and optimal stopping as theory to support decisions such as where to measure and when to stop an experiment. It also develops models for optimal measurement and process control based on physical models.
*Illustrative imageData Analysis and Materials Informatics
The lab analyzes large-scale data from quantum beam measurements such as synchrotron radiation and neutrons using AI and machine learning, drawing maps of materials space to reveal properties that were previously invisible. It also develops inverse design models that work backward from target properties to materials.
MembersFaculty
The members of the Ono Lab consist of faculty, project researchers, administrative assistants, doctoral, master's, and undergraduate students, and visiting faculty and visiting researchers.As of 2026
- ProfessorKanta Ono
- Assistant ProfessorYusaku Nakajima
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “MIREA Laboratory Industry 4.0. Digital robotic manufacturing 6” Нечаева Лилия Александровна / CC BY-SA 4.0 (cropped)
- Automating and Autonomizing Experiments: “Automated Screening ( )” National Center for Advancing Translational Sciences from Bethesda, MD / Public domain (cropped)
- Mathematical Models for Autonomous Experiments: “Whole-game-of-data-science” Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund / CC BY 3.0 (cropped)
- Data Analysis and Materials Informatics: “European Synchrotron Radiation Facility (ESRF) - Grenoble, France” Anders Sandberg from Oxford, UK / CC BY 2.0 (cropped)
- Related lab (Quantum Beam Materials Science Lab [Institute of Scientific and Industrial Research]): “Lithographie EUV” JB Waldner / CC BY-SA 3.0 (cropped)
- Related lab (Nanospectroscopy Lab): “Optical cell rotator” Katzeimsack72 / Public domain (cropped)
- Related lab (Bio-Information Measurement Lab [Graduate School of Information Science and Technology]): “Thermo - Finnigan LCQ Mass Spectrometer ( )” Kitmondo Marketplace / CC BY 2.0 (cropped)
- Related lab (Ultraprecision Machining Lab): “Optician Polishing Large CXO Mirror Shell At HDOS (illustrations-mirrorFab-Optician Polishing Large CXO Mirror Shell At HDOS - 1-300)” NASA/SAO / Public domain (cropped)
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