2026年3月25日 | 新着情報
Dr. Yoshinaga has been awarded a PhD degree (Doctor’s degree) of Science. His PhD thesis is “Density-Dependent Effective Hamiltonian for Shell-Model Calculation”. Congratulations!
吉永孝太さんが博士号を取得しました。学位を取得した博士論文は、「殻模型計算における密度依存有効相互作用」です。おめでとうございます。
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Mr. Shoji has received the Meikeikai Award in March 2026. Congratulations!
庄司拓未さん（物理学学位プログラム M2）が茗渓会賞（2026年3月）を受賞しました。おめでとうございます。
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Mr. Hagihara has received the Dean’s Award of Degree Programs in Pure and Applied Sciences. Congratulations!
萩原健太さん(物理学学位プログラム M2)が数理物質科学研究群長賞を受賞しました。おめでとうございます。
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Mr. Shoji and Mr. Hagihara have been awarded the Master’s degree of Science on March 25th, 2026. Ms. Ishii, Mr Unicho, and Mr. Tokinaga have been awarded the Bachelor’s degree of Science on March 25th, 2026. Congratulations!
庄司さん、萩原さんが修士（理学）を取得しました。また、石井さん、内野さん、時長さんが学士（理学）を取得しました。おめでとうございます。
2026年3月24日 | 新着情報
The following seminar will be held on March 31st, 2026, in Meeting Room A, CCS, University of Tsukuba.
Lecturer: Matthias Heinz (Oak Ridge National Laboratory, USA)
Place: Meeting Room A (1F), Center for Computational Sciences, University of Tsukuba
Date/Time: March 31st, 2026, 13:30-
Title:
Towards precise ab initio predictions of neutron densities and skins
Abstract:
While proton densities of atomic nuclei are experimentally relatively accessible, measuring neutron densities is a formidable challenge. Knowledge of neutron densities, however, is crucial. Neutron densities contribute to fundamental interactions in nuclei, making them relevant for searches for physics beyond the standard model. The development of neutron skins in heavy nuclei with more neutrons than protons impacts our understanding nuclear forces in neutron-rich environments. This then has implications for the properties of matter in neutron stars. As neutron densities are very difficult to measure, we rely on nuclear theory for predictions. In this seminar, I discuss work on ab initio computations of neutron densities of nuclei. Ab initio, or first-principles, nuclear theory employs nuclear forces from effective field theory and systematically improvable many-body methods, allowing for complete uncertainty quantification. This enables precise predictions of nuclear properties with robust uncertainty estimates. I present work on neutron densities for muon to electron conversion, a proposed beyond-standard-model process, and analyses of high-precision electron scattering and parity violating electron scattering, which aim to determine the neutron skins of key nuclei. Because of the complete control over the uncertainties that enter our calculations, our ab initio computations give new insights into the nuclear structure physics in each of these domains.
2026年2月10日 | 新着情報
The following seminar will be held on February 20th, 2026, in Meeting Room A, CCS, University of Tsukuba.
Lecturer: Morten Hjorth-Jensen (University of Oslo)
Place: Meeting Room A (1F), Center for Computational Sciences, University of Tsukuba
Date/Time: February 20th, 2026, 13:45-
Title: Machine Learning for Nuclear Physics and Many-body Physics
Abstract: In this talk, I will present a focused overview of recent developments in machine learning methods (both discriminative and generative) and their application to quantum many-body problems in nuclear physics. The emphasis will be on first-principles approaches to strongly interacting fermionic systems, where the exponential growth of Hilbert space presents a fundamental computational challenge.
I will discuss in particular the framework of neural-network quantum states (NQS), in which variational wave functions are represented using deep neural architectures and optimized via stochastic variational Monte Carlo, as well as physics-informed neural networks (PINNs) applied to many-body Schrödinger-type equations and related differential formulations. These approaches enable flexible representations of correlated wave functions, improved variational ansätze beyond traditional Slater–Jastrow forms, and scalable treatments of high-dimensional configuration spaces.
Applications will be presented for systems of direct relevance to nuclear physics, including infinite neutron matter and strongly correlated nuclear Hamiltonians, with comparisons to traditional many-body techniques such as coupled-cluster theory, quantum Monte Carlo, and configuration interaction methods. Selected examples from condensed matter physics will also be discussed to highlight common methodological structures and differences in correlation regimes.The overarching goal is to assess how modern machine learning architectures can systematically improve variational accuracy, capture nontrivial correlation effects, and potentially reshape computational strategies for strongly interacting quantum systems.
2026年1月23日 | 新着情報
Prof. Miyagi and his collaborators measured the matter radius of the doubly magic nucleus 132Sn
and revealed that the obtained value is smaller than the prediction from ab initio calculations. A press release on this achievement has been issued. For details, please see here (in Japanese).
2025年12月8日 | 新着情報
Dr. Li (Peking University) has joined our group as a new foreign research fellow.
外国人受託研究員として北京大学のLiさんが研究室のメンバーに加わりました。
2025年11月4日 | 新着情報
The following seminar will be held on November 7th, 2025, in Meeting Room A, CCS, University of Tsukuba.
Lecturer: Philipp Gubler (JAEA)
Place: Meeting Room A (1F), Center for Computational Sciences, University of Tsukuba
Date/Time: November 7th, 2025, 13:45-
Title: Understanding the generation of hadron masses from QCD and experimental data
Abstract: It has long been assumed that a large part of the mass of hadrons is generated by the spontaneous breaking of chiral symmetry of the strong interaction, which is successfully described by Quantum Chromodynamics (QCD). A clear confirmation of this mechanism from experimental measurements has, however, been elusive, in part due to the difficulty in measuring the order parameter of chiral symmetry, e.g. the chiral condensate. One method for potentially clarifying the relation between chiral symmetry and the hadron masses, is to probe the behavior of hadrons in nuclear matter, where chiral symmetry is believed to be partially restored. For this to work, one needs both a good theoretical understanding of the behavior of hadrons in matter and, equally important, how such a behavior will be reflected in experimental observables. In this seminar, I will first review the basic concepts needed to understand the relation between hadron masses and chiral symmetry of the strong interaction. I will then give an elementary introduction to the method of QCD sum rules, which has been an important theoretical tool in this field and will provide an overview of its use in current research. Next, I will review selected past and current experiments that have tried to study hadrons in dense matter and introduce methods on how the corresponding experimental data are analyzed, focusing particularly on the use of numerical transport simulations.
