JPS Hot Topics

Traffic congestion remains a challenge in urban environments, leading to increased travel time, fuel consumption, and environmental pollution. Traditional traffic signal control methods, such as fixed-cycle systems, fail to adapt to dynamic traffic conditions, causing inefficiencies. Recent advancements in quantum computing, particularly quantum annealing, have offered promising avenues for rapidly tackling complex optimization problems. This […]

Generative AI automatically creates text, images, and music, converting ideas into tangible outputs. It has become an essential tool for creativity and problem-solving, with applications expanding in everyday life, education, and work. Innovations such as OpenAI’s ChatGPT and Google Gemini have further boosted their popularity. Generative AI and machine learning technologies have seen explosive growth […]

Understanding the properties of thin films is crucial for their application in materials science, from gaining insights into physical phenomena at the nanoscale to advancing applied technologies. An effective method for analyzing these properties is X-ray diffraction (XRD), which provides detailed information about the crystal structures of materials.Among the features observed in the XRD patterns, […]

The atomic arrangement of materials significantly influences their physical properties, requiring precise analysis of these structures. Atomic arrangements are classified into crystals, amorphous solids, and quasicrystals. The crystal exhibits periodic atomic patterns, while amorphous solids are characterized by disordered arrangements. However, quasicrystals lack periodicity but exhibit long-range order.     Multifractality and hyperuniformity are two mathematical […]

Researchers in the field of materials science are applying informatics methods to optimize the properties of materials. To accelerate their search, they need to gather data; however, they face the dilemma of whether to reveal or conceal their data. Secure computation offers an alternative; it allows the use of data without exposing them. We recently […]

The necessity for faster, more efficient data storage has produced a bottleneck in the memory device industry, as manufacturers are unable to accommodate the demand for larger storage space and faster data access rates. Skyrmions, which are topologically stable, vortex-like magnetic structures at the nanometer scale, have emerged as a promising alternative to conventional data […]

Neutral atoms trapped in optical tweezer arrays have attracted significant interest as platforms for quantum computing. The implementation of two-qubit gates, which is crucial for universal quantum computation, is achieved through interactions between Rydberg atoms, where the valence electron of the atom is excited to an orbital with a large principal quantum number. Ytterbium (Yb), […]

 In solids, atoms are arranged in a regular pattern; however, atoms can vibrate from their equilibrium positions through vibrational modes known as phonons. In particular, the circularly polarized vibrational motions of ions are called chiral phonons (note that there is another definition for chiral phonons. In this study, we refer to two-dimensional (2D) rotational phonons […]

Dirac and Weyl semimetals are three-dimensional (3D) topological semimetals in which the conduction and valence bands touch at nodal points with a linear dispersion in the 3D Brillouin zone (BZ). They exhibit characteristic magnetotransport phenomena, negative longitudinal magnetoresistance and a planar Hall effect, resulting from the chiral anomaly. Recently, a layered organic conductor, α-(ET)2I3, exhibited […]

Semimetals are a class of materials characterized by a slight overlap between their conduction and valence bands. Owing to the band structure, the same number of electrons and holes coexist in an ideal semimetal, even at the lowest temperature, giving rise to exotic transport phenomena such as nonsaturating large magnetoresistance. On the other hand, it […]