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IMR Theoretical Physics Lab
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A condensed matter theory lab that solves the quantum many-body problem of electrons through theory and computation.

AboutAbout the lab
Exploring, through theory, quantum phenomena that defy conventional wisdom.
The IMR Theoretical Physics Lab is a condensed matter theory lab that studies quantum many-body systems, aiming at novel phenomena and groundbreaking understanding.
Its main subjects are a group of materials called strongly correlated electron systems, and it works to understand quantum many-body phenomena such as superconductivity and magnetism and to design material properties.
It develops and uses methods including first-principles calculations, quantum many-body theory, and machine learning with artificial neural networks.
The lab's website presents it under the name “Nomura-Murakami Lab.”
Key terms
- First-principles calculations
- A method of calculating the properties of materials from the fundamental laws of quantum mechanics, without relying on numbers obtained from experiments.
- Quantum many-body systems
- Systems in which electrons and other particles obeying the laws of quantum mechanics influence one another. Real materials are examples.
- Strongly correlated electron systems
- A group of materials in which electrons interact strongly with one another. Phenomena such as superconductivity and magnetism are the subjects of study.
NewsLab news
A paper by a doctoral student was published online in Phys. Rev. B
A paper involving Assistant Professor Chen and Professor Nomura was published online in Nature Materials
A paper by Professor Nomura was published online in Phys. Rev. B
A paper by Assistant Professor Mori was published online in Phys. Rev. Lett.
A paper by Associate Professor Murakami was published online in Phys. Rev. B
ResearchResearch themes
The lab takes quantum many-body systems as its stage, aiming for novel phenomena that do not fit within conventional frameworks and for groundbreaking understanding. It is exploring a new framework for materials science that uses first-principles calculations, quantum many-body theory, machine learning, and quantum computing as interlocking gears.
*Illustrative imageDeveloping first-principles methods
Parameter-free first-principles methods are essential for taking on the design of material properties. Based on density functional theory, the lab develops the maximally localized Wannier function method and the downfolding method.
*Illustrative imageNumerical methods for solving the quantum many-body problem
Real materials are quantum many-body systems in which electrons interact with one another. The lab aims to develop numerical methods that solve the quantum many-body problem, a well-known hard problem, more accurately. Examples include the multi-orbital cluster extension of dynamical mean-field theory, the D-TRILEX method, and refinement of the variational Monte Carlo method.
*Illustrative imageRepresenting quantum states with neural networks
Taking advantage of the flexible function representation power of neural networks, the lab develops methods that learn the essence of quantum entanglement in quantum many-body systems and represent quantum states accurately. By making machine learning a “white box,” it also aims to extract nontrivial physical insights.
*Illustrative imageReproducing the phase diagram of fullerene superconductors
It is known that doping charge into a solid made of fullerene molecules produces superconductivity. A past result is that state-of-the-art first-principles calculations quantitatively reproduced the phase diagram, including the Mott insulator and superconductivity, and clarified the mechanism of the superconductivity.
MembersFaculty
The members of the IMR Theoretical Physics Lab are faculty, research fellows, administrative assistants, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorYusuke Nomura
- Associate ProfessorYuta Murakami
- Assistant ProfessorHsiao-Yi Chen
- Assistant ProfessorHitoshi Mori
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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: “Na8Si46 inorganic clathrate structure with coordination polyhedra” PickledSquid / CC BY-SA 4.0 (cropped)
- Developing first-principles methods: “Siegenite crystal structure (Huang-Knop 1971) polyhedra model rotated 30c-30ab” Ra'ike (Wikipedia) / CC0 (cropped)
- Numerical methods for solving the quantum many-body problem: “Pleiades supercomputer racks 3” Oleg Alexandrov / CC BY-SA 4.0 (cropped)
- Representing quantum states with neural networks: “Quantum Computer with Dispersive Background 2” OJB Quantum / CC BY 4.0 (cropped)
- Reproducing the phase diagram of fullerene superconductors: “Molecular Model of C60, Buckminsterfullerene - UCL Chemistry” UCL Mathematical and Physical Sciences from London, UK / CC BY 2.0 (cropped)
- Related lab (Low-Temperature Materials Science Lab): “Superconducting Magnetic Separator Cryostat” Antonín Ryska / CC0 (cropped)
- Related lab (Theoretical Particle Physics and Cosmology Lab): “Kedr-detector-inp-0811” Вадим Махоров / CC BY 4.0 (cropped)
- Related lab (Nonequilibrium Physics of Life Lab): “Microscope à fluorescence (Ifremer )” Olivier Dugornay / CC BY 4.0 (cropped)
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