Tohoku University and Fujitsu Use AI to Discover Promising New Superconducting Material

The AI technology was utilized to automatically clarify causal relationships from measurement data obtained at NanoTerasu Synchrotron Light Source
Image Credit: Scientific Frontline / stock image

Tohoku University and Fujitsu Limited announced their successful application of AI to derive new insights into the superconductivity mechanism of a new superconducting material. Their findings demonstrate an important use case for AI technology in new materials development and suggests that the technology has the potential to accelerate research and development. This could drive innovation in various industries such as environment and energy, drug discovery and healthcare, and electronic devices.

The two parties used Fujitsu's AI platform Fujitsu Kozuchi to develop a new discovery intelligence technique to accurately estimate causal relationships. Fujitsu will begin offering a trial environment for this technology in March 2026. Furthermore, in collaboration with the Advanced Institute for Materials Research (WPI-AIMR), Tohoku University , the two parties applied this technology to data measured by angle-resolved photoemission spectroscopy (ARPES), an experimental method used in materials research to observe the state of electrons in a material, using a specific superconducting material as a sample.

Tohoku University: SFL Spotlight

Tohoku University operates as a national university located in Sendai, Miyagi Prefecture, Japan. Established on June 22, 1907, as Tohoku Imperial University, it was the third Imperial University founded in the nation. The geographic location outside the central Tokyo corridor has historically supported a culture of independent academic inquiry and international engagement.

The institutional development of the university was directed by the Japanese Ministry of Education. In 1907, the Ministry tasked physicist Hantaro Nagaoka with assembling the inaugural professorial faculty by dispatching eight academics to Europe to acquire advanced laboratory equipment and study emerging scientific disciplines. This directive led to empirical research output that established Tohoku Imperial University as a primary center for the physical and material sciences. The academic architecture subsequently expanded to include faculties of law and the humanities by 1922.

Researchers in Japan Discover New Jellyfish Species Deserving of a Samurai Warrior Name

Physalia mikazuki sp. nov., a newly described Portuguese man-of-war collected from Gamo Beach, Sendai Bay. The gas-filled float and long trailing tentacles are characteristic of the Portuguese man-of-war. Runner-up names with a similar Sendai-oriented cultural flare included Physalia: zunda shake, blue dragon, and one-eyed dragon.
Image Credit: © Tohoku University / Cheryl Lewis Ames et al.

A student-led research group from Tohoku University has discovered a new species of the venomous Physalia (commonly known as Portuguese man-of-war) that has never been seen before in northeast Japan. This revelation suggests that warming coastal waters and shifting ocean currents are influencing the distribution of marine organisms in northeastern Japan.

"I was working on a completely different research project around Sendai Bay in the Tohoku region, when I came across this unique jellyfish I had never seen around here before," remarks second author Yoshiki Ochiai. "So, I scooped it up, put it in a ziplock bag, hopped on my scooter, and brought it back to the lab!"

Stacking Order and Strain Boosts Second-Harmonic Generation with 2D Janus Hetero-bilayers

Second-harmonic generation of 2D Janus MoSSe/MoS2 hetero-bilayers is optimized by stacking order and strain.
Image Credit: ©Nguyen Tuan Hung et al.

A group of researchers from Tohoku University, Massachusetts Institute of Technology (MIT), Rice University, Hanoi University of Science and Technology, Zhejiang University, and Oak Ridge National Laboratory have proposed a new mechanism to enhance short-wavelength light (100-300 nm) by second harmonic generation (SHG) in a two-dimensional (2D), thin material composed entirely of commonplace elements.

Since UV light with SHG plays an important role in semiconductor lithography equipment and medical applications that do not use fluorescent materials, this discovery has important implications for existing industries and all optical applications.

Unleashing Disordered Rocksalt Oxides as Cathodes for Rechargeable Magnesium Batteries

Schematics of the battery and present cathode material. The present material contains many metal elements as cations thanks to the effect of the high configurational entropy.
Illustration Credit: ©Tohoku University

Researchers at Tohoku University have made a groundbreaking advancement in battery technology, developing a novel cathode material for rechargeable magnesium batteries (RMBs) that enables efficient charging and discharging even at low temperatures. This innovative material, leveraging an enhanced rock-salt structure, promises to usher in a new era of energy storage solutions that are more affordable, safer, and higher in capacity.

Details of the findings were published in the Journal of Materials Chemistry. 

The study showcases a considerable improvement in magnesium (Mg) diffusion within a rock-salt structure, a critical advancement since the denseness of atoms in this configuration had previously impeded Mg migration. By introducing a strategic mixture of seven different metallic elements, the research team created a crystal structure abundant in stable cation vacancies, facilitating easier Mg insertion and extraction.

This represents the first utilization of rocksalt oxide as a cathode material for RMBs. The high-entropy strategy employed by the researchers allowed the cation defects to activate the rocksalt oxide cathode.

Optimized Solvent Design Improves Lymphatic Drug Delivery to Metastatic Lymph Nodes

Overview of Lymphatic Drug Delivery Systems (LDDS) and the Optimal Ranges of Solvent Osmolarity and Viscosity Depending on Therapeutic Strategies.
Illustration Credit: ©Taiki Shimano et al.

Scientific Frontline: "At a Glance" Summary

• Main Discovery: The optimization of solvent osmolarity and viscosity in Lymphatic Drug Delivery Systems (LDDS) significantly regulates drug pharmacokinetics and perinodal dynamics to improve treatment of metastatic lymph nodes.
• Methodology: Researchers injected therapeutic formulations directly into the sentinel lymph nodes of MXH10/Mo/lpr mice—a model featuring human-sized nodes—to monitor real-time changes in lymphatic and vascular flow based on varied solvent properties.
• Key Data: Increased solvent osmolarity was observed to promote blood inflow and expand lymphatic sinuses (drug pathways), while solvent viscosity acted as the dominant factor determining the duration of drug retention and the extent of delivery.
• Significance: The study provides critical guidelines for "tailor-made solvent design," directly validating the protocols for ongoing Phase I clinical trials at Iwate Medical University and Tohoku University Hospital.
• Future Application: Development of next-generation cancer therapies where drug solvent properties are customized to specific clinical goals, such as maximizing retention time or enhancing downstream distribution.
• Branch of Science: Biomedical Engineering, Oncology, and Pharmacology.
• Additional Detail: This research represents the first comprehensive demonstration of how fundamental physicochemical properties of solvents independently influence drug behavior during intranodal administration.

Soft Fibers that Move with Electricity

Electrically driven 'soft yarn' (soft fiber actuator) realized by thermal drawing.
Image Credit: ©Tohoku University

Scientific Frontline: Extended "At a Glance" Summary: Soft Fibers that Move with Electricity

The Core Concept: The soft fiber actuator is an ultrafine, electrically driven "soft yarn" made from flexible polymer capable of bending, contracting, and producing complex three-dimensional movements upon the application of an electrical voltage.

Key Distinction/Mechanism: Unlike conventional metallic actuators (such as shape-memory alloys) that are relatively stiff and require complex heating or magnetic fields for activation, this technology uses a flexible dielectric elastomer. When an electric field is applied, electrostatic forces induce physical deformation, allowing the thread-like material to generate complex motions while maintaining a soft, rubber-like feel that can be knitted or woven into textiles.

Major Frameworks/Components: 

• Thermoplastic Polyurethane: The highly flexible polymer material acting as the core dielectric elastomer.
• Thermal Drawing: A high-precision manufacturing technique, originally designed for optical fiber production, adapted to fabricate functional soft fibers around the thickness of a human hair.
• Dielectric Elastomer Actuation (DEA): The underlying operational principle where applied voltage induces electrostatic forces between electrodes, causing the soft polymer to deform and contract.

New Species of Venomous Box Jellyfish Discovered in Singapore

Composite of detailed morphological analysis of C. blakangmati.
Image Credit: ©Iesa et al.

Scientific Frontline: Extended "At a Glance" Summary: Chironex blakangmati Discovery

The Core Concept: Chironex blakangmati is a newly identified, highly venomous species of box jellyfish discovered in the coastal waters of Singapore.

Key Distinction/Mechanism: Unlike the three other known Chironex species, which possess pointed canals extending from the tips of their perradial lappets (the bottom of the bell-shaped body), C. blakangmati completely lacks these canals. This anatomical difference enables rapid visual differentiation without the need for molecular analysis.

Origin/History: The species was formally identified by researchers from Tohoku University and the National University of Singapore, with findings published on May 15, 2026. The specimens were collected near Sentosa Island, historically known as Pulau Blakang Mati ("Island of Death Behind"), which inspired the organism's scientific name.

A New Magnetizable Shape Memory Alloy with Low Energy Loss, Even at Low Temperatures

Image Credit: Scientific Frontline

Shape memory alloys (SMA) remember their original shape and return to it after being heated. Similar to how a liquid transforms into a gas when boiled, SMAs undergo a phase transformation when heated or cooled. The phase transformation occurs with the movement of atoms, which is invisible to the naked eye.

SMAs are utilized in a diverse array of applications, including as actuators and sensors. However, the need to cool or heat SMAs means there is a delay in their phase transformation.

As a recently invented type of SMA, metamagnetic shape memory alloys (MMSMA) negate this limited response rate thanks to their ability to undergo phase transformation when exposed to an external magnetic field. Yet to date, MMSMAs have failed to solve another common problem with most SMAs: the fact that they lose a large amount of energy when phase transforming - something that worsens substantially in low temperatures.

Volcanic ash may enhance phytoplankton growth in the ocean over 100 km away

Nishinoshima Island, located in the Ogasawara Islands of Japan, is home to an active volcano. Ash from volcanic eruptions there in 2020 could have led to a temporary surge in phytoplankton levels in the seawater 130 km away.
Photo Credit: Ogasawara Village Tourism Bureau

A research group in Japan has suggested that ash released from volcanic eruptions on Nishinoshima Island—part of Japan's Ogasawara Islands—led to a temporary surge in phytoplankton levels in the seawater around Mukojima Island, which is located 130 km northeast of Nishinoshima and is also part of the Ogasawara Islands.

Mukojima lies within the subtropical gyre, a region known for low nutrient and low chlorophyll conditions. The study indicates that ash from the Nishinoshima eruptions was transported by wind and ocean currents to the waters around Mukojima, serving as a nutrient source for phytoplankton growth in that area.

Exploring Parameter Shift for Quantum Fisher Information

Image Credit: Scientific Frontline stock image

Quantum computing uses quantum mechanics to process and store information in a way that is different from classical computers. While classical computers rely on bits like tiny switches that can be either 0 or 1, quantum computers use quantum bits (qubits). Qubits are unique because they can be in a mixture of 0 and 1 simultaneously - a state referred to as superposition. This unique property enables quantum computers to solve specific problems significantly faster than classical ones.

In a recent publication in EPJ Quantum Technology, Le Bin Ho from Tohoku University's Frontier Institute for Interdisciplinary Sciences has developed a technique called "Time-dependent Stochastic Parameter Shift" in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

Typically, computing derivatives requires dissecting the function and calculating the rate of change over a small interval. But even classical computers cannot keep dividing indefinitely. In contrast, quantum computers can accomplish this task without having to discrete the function. This feature is achievable because quantum computers operate in a realm known as "quantum space," characterized by periodicity, and no need for endless subdivisions.

New Nanoreactor Design Rule Improves Catalysis by Balancing Transport and Kinetics

Nanoreactors consist of catalytic nanoparticles that are enclosed by a porous shell. It is essentially a lab-scale reactor scaled down orders of magnitude. This allows for precise control over the supply of reactants through the shell (transport) and the reaction kinetics over the catalytic nanoparticles on the inside of the shell. In this work, it was found that when transport and reaction rate are matched, nanoreactors perform better than conventional catalytic materials.
Image Credit: ©Hana Aizawa et al.

Scientific Frontline: Extended "At a Glance" Summary: Nanoreactor Design Rules

The Core Concept: A nanoreactor is a porous shell containing catalytically active nanoparticles; researchers have discovered that these microscopic reactors operate more efficiently when the flow of reactants into the inner space is slightly restricted rather than completely uninhibited.

Key Distinction/Mechanism: Unlike traditional catalytic models that assume unrestricted reactant access yields the fastest chemical reactions, this model balances mass transport (reactant supply) with reaction kinetics (catalyst processing speed). This slight restriction prevents molecular "traffic jams," ensuring catalytic sites remain unblocked and consistently accessible.

Major Frameworks/Components: 

• Hollow Nanoreactors: Porous outer shells that enclose an inner void containing catalytically active nanoparticles.
• Mass Transport Control: The precise regulation of the supply of reactants passing through the porous shell.
• Reaction Kinetics: The inherent rate at which the internal catalytic nanoparticles process incoming reactants.
• Transport-Kinetics Balance: The core principle demonstrating that harmonizing the flow rate of molecules with the catalyst's processing capabilities yields superior efficiency compared to conventional materials.

A Simple and Robust Method to Add Functional Molecules to Peptides

An N-terminal specific three-component [3+2] cycloaddition proceeds without affecting the highly reactive lysine residues. This reaction has been successfully applied to polypeptides of up to 26 residues.
Illustration Credit: ©Kazuya Kanemoto et al.

Peptides are short strands of amino acids that are increasingly used therapeutically, as biomaterials and as chemical and biological probes. The capacity to isolate, manipulate and label peptides and larger proteins is limited, however, by the ability to reliably attach functional molecules, such as fluorescent compounds, to peptides in locations that won't affect the three-dimensional structure and function of the short amino acid strand.

Researchers are most interested in adding functional molecules to the N-terminus, or the end of a peptide with a free amine group (NH2), of an amino acid strand in order to minimize the interference of functional molecules with the structure and function of the bound peptide. Earlier methods of attaching functional molecules to the N-terminus of peptides were insufficient for several reasons: 

1. the functional groups would release from the peptide in human physiological conditions
2. only one functional group could be attached to a peptide at a time 
3. attachment of functional molecules to peptides was not uniform or
4. reactions simply weren't efficient.

To address this issue, researchers from Tohoku University and Chuo University developed a unique chemical reaction to attach two distinct functional molecules to the N-terminus of a peptide with a glycine amino acid at the N-terminus. The researchers published their study in the journal Angewandte Chemie International Edition.

MOPEG Gels: Stimuli-Responsive Smart Materials

Schematic illustration of the MOPEG gel's mechanism: the polymer network (the basketball net) captures specific molecular targets (the basketball), triggering an appearance change of the material.
Image Credit: Institute for Integrated Cell-Material Sciences, Kyoto University

Scientific Frontline: Extended "At a Glance" Summary: MOPEG Gels

The Core Concept: MOPEG gels are a novel class of porous polymer gels that selectively recognize specific target molecules and convert these invisible, microscopic interactions into visible, macroscale deformations such as changes in color, shape, and physical stiffness.

Key Distinction/Mechanism: While most artificial molecular recognition systems rely on noncovalent interactions like hydrogen bonding, MOPEG gels utilize coordination chemistry. Porous metal-organic polyhedra capture specific "guest" molecules containing multiple coordinating nitrogen atoms. This specific chemical interaction bridges the network, triggering a color shift from green to red, volumetric shrinkage, and significant mechanical reinforcement.

Major Frameworks/Components:

• Metal-Organic Polyhedra (MOPs): Act as the structural junctions of the polymer network and serve as highly selective molecular recognition sites.
• Polyethylene Glycol (PEG) Chains: Flexible polymer chains that link the MOPs and provide structural elasticity to the gel.
• Coordinative Guest Recognition: The specific chemical "handshake" between metal centers and electron-rich target molecules that drives the material's physical transformation.

Dopamine Deficiency Found to Drive Memory Impairment in Alzheimer's Disease

An overview of the study. Left: Dopamine neurons (purple) project from the brainstem to the striatum to regulate motor function, while a distinct population (red), identified in 2021, projects to the entorhinal cortex and supports memory formation. Middle: In an Alzheimer's disease mouse model, dopamine levels (yellow circles) in the entorhinal cortex are markedly reduced, leading to disrupted neural activity and impaired memory. Right: Treatment with levodopa restores dopamine levels, normalizes neural activity, and improves memory.
Image Credit: © Tatsuki Nakagawa et al.

Scientific Frontline: Extended "At a Glance" Summary: Dopamine Dysfunction in Alzheimer's Disease

The Core Concept: A recent scientific breakthrough has identified that a dramatic reduction of dopamine levels in the entorhinal cortex is a primary driver of associative memory impairment in Alzheimer's disease. Restoring these dopamine levels has been shown to successfully reverse cognitive decline in animal models.

Key Distinction/Mechanism: While traditional Alzheimer's research has heavily focused on targeting amyloid-β and tau proteins—often with limited cognitive recovery—this approach targets the dopamine neural circuits. By administering Levodopa or using optogenetic techniques to elevate dopamine in the entorhinal cortex, researchers normalized neural activity and restored the brain's ability to encode memories.

Major Frameworks/Components:

• Entorhinal Cortex: A brain region serving as the gateway to the hippocampus, heavily relied upon for processing and encoding associative memories.
• Dopamine Neural Pathways: Specific dopamine neurons projecting to the entorhinal cortex that support memory formation, distinct from the pathways that regulate motor function.
• Optogenetic Intervention: The use of light-controlled cellular techniques to stimulate specific neurons and manually increase dopamine levels in targeted brain regions.
• Levodopa Therapy: The application of a widely used Parkinson's disease medication to replenish dopamine, successfully normalizing memory-related neural activity in Alzheimer's mouse models.

Unmasking the Culprits of Battery Failure with a Graphene Mesosponge

Photo Credit: Roberto Sorin

To successfully meet the United Nations' Sustainable Development Goals (SDGs), we need significant breakthroughs in clean and efficient energy technologies. Central to this effort is the development of next-generation energy storage systems that can contribute towards our global goal of carbon neutrality. Among many possible candidates, high-energy-density batteries have drawn particular attention, as they are expected to power future electric vehicles, grid-scale renewable energy storage, and other sustainable applications.

Lithium-oxygen (Li-O2) batteries stand out due to their exceptionally high theoretical energy density, which far exceeds that of conventional lithium-ion batteries. Despite this potential, their practical application has been limited by poor cycle life and rapid degradation. Understanding the root causes of this instability is a critical step toward realizing a sustainable and innovative energy future.

This Multiferroic Can Take the Heat - up to 160℃

Image Credit: Tohoku University

While most multiferroics are limited such that the hottest they can operate at is room temperature, a team of researchers at Tohoku University demonstrated that terbium oxide Tb2(MoO4)3 works as a multiferroic even at 160 ℃.

As one can imagine, a material that loses its functionality from a hot summer's day or simply the heat generated by the device itself has limited practical applications. This is the major Achilles heel of multiferroics - materials that possess close coupling between magnetism and ferroelectricity. This coupling makes multiferroics an attractive area to explore, despite that weakness.

In order to surmount this weakness to unleash the full potential of multiferroics, the research team investigated the candidate material Tb2(MoO4)3. It successfully showed the hallmark traits of multiferroics, and was able to manipulate electric polarization using a magnetic field, even at 160 ℃. This is a huge jump from the previous limit of approximately 20 ℃. Without that major Achilles heel, this remarkable finding means that multiferroics can meaningfully be applied to areas such as spintronics, memory devices that consume less power, and light diodes.

Energy Harvesting Via Vibrations: Researchers develop highly durable and efficient device

The principle, structural design, and application of carbon fiber-reinforced polymer-enhanced piezoelectric nanocomposite materials.
Illustration Credit: ©Tohoku University

An international research group has engineered a new energy-generating device by combining piezoelectric composites with carbon fiber-reinforced polymer (CFRP), a commonly used material that is both light and strong. The new device transforms vibrations from the surrounding environment into electricity, providing an efficient and reliable means for self-powered sensors.

Details of the group's research were published in the journal Nano Energy.

Energy harvesting involves converting energy from the environment into usable electrical energy and is something crucial for ensuring a sustainable future.

"Everyday items, from fridges to street lamps, are connected to the internet as part of the Internet of Things (IoT), and many of them are equipped with sensors that collect data," says Fumio Narita, co-author of the study and professor at Tohoku University's Graduate School of Environmental Studies. "But these IoT devices need power to function, which is challenging if they are in remote places, or if there are lots of them."

A Tiny Spot Leads to a Large Advancement in Nano-processing, Researchers Reveal

A conceptual illustration of single-shot laser processing by an annular-shaped radially polarized beam, focused on the back surface of a glass plate.
Illustration Credit: ©Y. Kozawa et al.

Focusing a tailored laser beam through transparent glass can create a tiny spot inside the material. Researchers at Tohoku University have reported on a way to use this small spot to improve laser material processing, boosting processing resolution.

Laser machining, like drilling and cutting, is vital in industries such as automotive, semiconductors, and medicine. Ultra-short pulse laser sources, with pulse widths from picoseconds to femtoseconds, enable precise processing at scales ranging from microns to tens of microns. But recent advancements demand even smaller scales, below 100 nanometers, which existing methods struggle to achieve.

The researchers focused on a laser beam with radial polarization, known as a vector beam. This beam generates a longitudinal electric field at the focus, producing a smaller spot than conventional beams.

Scientists have identified this process as promising for laser processing. However, one drawback is that this field weakens inside the material due to light refraction at the air-material interface, limiting its use.

Study Sheds Light on the Function of a Key Antibiotic-Producing Enzyme

Researchers have successfully replaced a section of the antibiotic-synthesizing enzyme PikAIII-M5, advancing our understanding of its structure and function and moving us closer to the creation of synthetic antibiotics.
Illustration Credit: ©Tohoku University

Scientific Frontline: "At a Glance" Summary

• Main Discovery: Researchers successfully engineered a chimeric version of the enzyme PikAIII-M5, a key component in pikromycin biosynthesis, by swapping its beta-ketoreductase domain to control the stereochemistry of macrolide chains.
• Methodology: The team utilized a synthetic substrate evaluation system to physically replace the beta-ketoreductase domain within the PikAIII-M5 enzyme with an alternative domain, subsequently analyzing how these structural modifications altered the enzyme's biochemical output.
• Key Data: The study validated that the beta-ketoreductase domain acts as an interchangeable module; its successful replacement demonstrated that specific domain swapping can predictably dictate the structural composition of the resulting macrolactone ring.
• Significance: This research establishes a verified "design guideline" for combinatorial biosynthesis, enabling more accurate predictions of chemical structures from genomic data and facilitating the engineering of complex, non-natural drug molecules.
• Future Application: The findings will be applied to create novel macrolide antibiotics with structures not found in nature, directly addressing the global crisis of antibiotic resistance and the shrinking pipeline of effective antimicrobial drugs.
• Branch of Science: Synthetic Biology, Biochemistry, and Pharmaceutical Sciences.
• Additional Detail: The researchers describe the strategic engineering process as analogous to "swapping interchangeable parts in a machine," emphasizing the high potential for modular manipulation in antibiotic development.