Researchers created non-precious single-atom catalysts for chlorine production, achieving low overpotentials and high selectivity comparable to commercial electrodes. The key to their performance lies in an oxygen atom positioned at the 'on-top' site of the catalyst.
Researchers developed a transparent and interpretable model to predict performance metrics of hydrogen storage materials, using atomic features as key descriptors. The model identified a fundamental trade-off between high capacity and suitable thermodynamic stability, revealing unique beryllium-based alloys with balanced characteristics.
A team of researchers at Tohoku University has successfully created and electrically controlled triple quantum dots in zinc oxide (ZnO), a promising material for quantum computing. This breakthrough opens a new pathway to exploring complex quantum behaviors and developing potential architectures for quantum computation.
Researchers have discovered a new way to make valuable industrial chemicals from propylene using lead dioxide as a catalyst. The oxygen atoms inside the catalyst play an active role in the chemical reaction, making it more sustainable and affordable. The study's findings were published in Catalysis Science & Technology on October 7, 2025.
The study reveals a temperature-dependent mechanism evolution effect on RhRu3Ox catalysts, leading to more stable oxygen evolution reactions. The researchers demonstrate that the catalyst remains stable for over 1000 hours at room temperature, paving the way for efficient and durable electrochemical devices.
A new kind of electrochemical system combines two chemical reactions, oxidation and hydrogenation, to produce renewable plastics and fine chemicals. The process achieves full conversion of plant-based molecules into the desired products with high efficiency and stability.
Researchers have developed a novel strategy for efficient CO₂ conversion, achieving a mass activity 3.77 times higher than pristine CoPc. The new catalyst, pyridinic-N incorporated phthalocyanine (CoTAP), demonstrates superior performance with less catalyst.
A recent study has unraveled the atomic-scale mechanisms behind pH effects on electrochemical reactions, paving the way for rational catalyst design. The research reveals that interfacial electric fields and molecular interactions play a critical role in determining reaction rates and selectivity.
A Tohoku University research team synthesized a high-purity graphene mesosponge that serves as a stable scaffold for loading polymorphic ruthenium catalysts. The study clearly distinguished between carbon cathode degradation and electrolyte decomposition, revealing the 'weakest link' in Li-O2 batteries.
Researchers from Tohoku University have compared hot pressing and spark plasma sintering (SPS) in processing garnet-type oxide Li₇La₃Zr₂O₁₂ for solid-state lithium metal batteries. Both methods achieve nearly full densification and comparable ionic conductivity, challenging the long-held assumption that SPS is inherently superior.
Researchers at Tohoku University utilized AI to develop strategies for water treatment and air pollution control. The study highlights innovative approaches using machine learning in material screening and global distribution simulation of pollutants.
Researchers at Tohoku University introduced a new approach for electrochemical carbon dioxide reduction using multilayer cobalt phthalocyanine/carbon core-shell structures. The study demonstrated a catalyst architecture that makes CO₂ conversion into carbon monoxide both stable and efficient.
A research team at Tohoku University has developed a new method to convert harmful nitrate pollutants in water into ammonia using NiCuFe-layered double hydroxide catalysts. The study achieved a Faradaic efficiency of 94.8% and demonstrated the efficacy of the process in real-world applications.
Researchers at Tohoku University have created a high-density W single atom catalyst that significantly speeds up the oxygen evolution reaction, overcoming a key barrier in environmentally friendly technologies. The stable incorporation of tungsten into transition-metal hydroxides/oxides enables ultrathin structures with enhanced active...
Researchers applied explainable machine learning to design nickel-based catalysts for efficient CO2 methanation. The study identified optimal reaction conditions, including temperature, gas hourly space velocity, BET surface area, and nickel content, to improve conversion rates and selectivity.
Researchers have demonstrated the unique benefits of antiferromagnets, enabling high-speed, high-efficiency memory operations. Antiferromagnets outperform ferromagnets with faster switching times and higher reliability, making them a promising complement to conventional memory technologies.
Researchers at Tohoku University have developed an AI-built materials map that combines experimental data with computational predictions to identify promising materials for thermoelectric waste-heat recovery. The map enables faster development timelines and reduces trial-and-error, accelerating innovation in energy-related technologies.
Researchers at Tohoku University have created a new Fe-N-C catalyst that can partly renew itself while working, showing efficient performance in converting oxygen. The catalyst's ability to maintain activity over time is attributed to a balance between renewal of active sites and gradual processes of deactivation.
Researchers at Tohoku University found that C60 fullerene can serve as an active catalytic site for CO2 electroreduction, improving the efficiency of reactions like hydrogen evolution and carbon dioxide reduction. The discovery opens new possibilities for designing efficient, metal-free catalysts to combat climate change.
Researchers at WPI-AIMR developed copper/cobalt-based catalysts improving the conversion of nitrate to ammonia under ambient conditions. The new approach boosts green ammonia production and mitigates nitrate pollution, with a peak ammonia yield of 24.58 mg h⁻¹ mgcat⁻¹ observed.
Researchers at Tohoku University have developed a method to produce environmentally friendly fuels using the furfural reduction reaction. By combining a zinc single-atom catalyst with an electrochemical reaction, they achieved high efficiency and selectivity in producing hydrofuroin, a precursor to aviation fuels.
Researchers at Tohoku University have uncovered key principles that could advance sustainable ammonia production by electrochemically converting nitrate waste. Pyrrolic-coordinated M-N-C catalysts achieve higher turnover frequencies for ammonia production, and the adsorption of nitrate is the rate-determining step in this reaction.
Scientists at AIMR successfully demonstrated Rabi-like splitting in an artificial magnet using nonlinear coupling, preserving the system's symmetries. This finding opens up new possibilities for advancing our understanding of nonlinear dynamics and coupling phenomena in artificial control.
Researchers used advanced techniques to study propylene electrooxidation on Pd and Pt catalysts, revealing that surface reconstruction governs reaction selectivity. The findings show that changes in the catalyst surface under working potentials determine which products are formed.
A team of researchers at Tohoku University's AIMR used machine learning potential to characterize Sn catalyst activity, identifying the most effective catalysts for CO2 reduction. The study provides novel insights into the behavior of Sn-based catalysts and could lead to more efficient fuel production.
Researchers at Tohoku University's AIMR have developed data-driven strategies to advance methane pyrolysis catalysts using artificial intelligence and machine learning. These approaches enable the identification of key physicochemical properties influencing catalyst performance, suggesting novel compositions for experimental validation.
Researchers at Tohoku University have developed a novel oxidation process using sonicated carbon nanotubes to remove industrial and municipal pollutants from contaminated water. The nonradical pathway achieves unprecedented removal rates within five minutes, targeting distributed water sources.
Researchers successfully reproduced high-pressure synthesis reaction of superhydrides using a machine learning model, revealing a unique reaction pathway involving surface melting, hydrogen absorption, and solidification. This breakthrough deepens understanding of high-pressure physico-chemical processes and holds promise for easier de...
Researchers at Tohoku University developed a novel strategy to modulate spin states of single-atom catalysts using external magnetic fields. This approach improves electrocatalytic performance by reducing activation energy and increasing reaction rates.
Researchers developed a digital discovery framework that identified a promising catalyst for acidic water splitting. The 'DigCat' platform predicts material performance and confirms its effectiveness through lab experiments.
A research team developed a unified theoretical framework to predict the performance of single-atom catalysts for electrochemical carbon dioxide reduction. The model incorporates pH and interfacial electric field effects, identifying 12 SACs with favorable CO selectivity across varying pH values.
A new dual-atom catalyst significantly improves the efficiency of oxygen reduction reactions in zinc-air batteries, leading to high open-circuit voltages and energy densities. The breakthrough could enable more efficient, long-lasting batteries for practical applications.
Scientists at Tohoku University discovered that chromium selenide transforms into a magnetic material when reduced to atomically thin layers, challenging previous theoretical predictions. The research opens new possibilities for spintronics applications and could lead to faster, smaller, and more efficient electronic components.
A recent article reviews the integration of data science into electrocatalysis, accelerating the design of high-performance catalysts. The combination of low-dimensional and high-dimensional analytics is providing deeper insights into structure-property relationships.
A new technique using Bayesian inference has been developed to rapidly and accurately determine the charge state of electrons in semiconductor quantum dots, which is crucial for quantum computing systems. The method outperforms traditional threshold-based techniques, especially in situations with varying measurement noise.
Researchers developed a data-driven AI framework that identifies potential solid-state electrolyte candidates and predicts their performance. The framework uses large language models, multiple linear regression, and genetic algorithm to optimize battery design.
Researchers at Tohoku University developed a surface reconstruction pathway to produce durable non-noble metal-based cathodes for efficient hydrogen evolution reaction (HER) performance, paving the way for affordable commercial production.
A new catalyst structure featuring mesoporous single-crystalline Co3O4 doped with atomically dispersed iridium (Ir) has been proposed as a potential pathway toward cost-effective hydrogen production. The material achieves efficient use of Ir while maintaining stability, reducing leaching during reaction.
A new study emphasizes the importance of pushing metal site design limits to optimize hydrogen evolution reaction in single atom catalysts. Researchers found that hydrogen binding energy calculation can serve as a good predictor of activity, and neighboring nitrogen atoms can host catalytic activity to negate poisoning effects.
Researchers developed a streamlined process for converting CO₂ into carbon monoxide with record-breaking efficiency, cutting down processing time from 24 hours to 15 minutes. The new method uses low-cost pigment-based catalysts and offers a promising pathway for carbon neutral energy production.
A recent study finds that garnet-type solid electrolytes for lithium metal batteries offer only marginal increases in energy density. Researchers suggest alternative hybrid approaches to improve manufacturability and reduce weight while maintaining performance.
Researchers at Tohoku University found that incorporating gadolinium into iron-doped nickel oxide markedly enhances oxygen evolution reaction activity. Gd-doping reduces theoretical overpotentials and demonstrates favorable kinematics, leading to remarkable long-term stability and robust performance in water electrolysis.
Researchers at Tohoku University developed a highly stable catalyst for efficient hydrogen production, achieving a Faradaic efficiency of 99.9% and stability for over one month. The study highlights the importance of controlled evolution of catalyst-electrolyte interface in rational catalyst design.
A study by the Advanced Institute for Materials Research found that tin monoxide (SnO) electrocatalysts can produce both formic acid and carbon monoxide in significant amounts. The research team identified key structural changes that influence product distribution, providing insights into optimizing electrocatalyst performance.
Researchers develop a new electronic fine-tuning approach to enhance the interactions between zinc and ruthenium, resulting in a highly active and stable catalyst for both oxygen reduction reaction and hydrogen evolution reaction. This breakthrough offers a cost-effective alternative to conventional platinum-based catalysts.
Researchers at Tohoku University developed a novel method to accelerate the development of single-atom catalysts (SACs) for robust and efficient water purification. Using data-driven predictions, they identified an optimized Fe-SAC with high decontamination performance, breaking down pollutants in water.
Researchers uncover a novel reaction pathway in weak-binding metal-nitrogen-carbon single-atom catalysts, contradicting the traditional Sabatier principle. This discovery offers new insights into their exceptional catalytic behavior.
Researchers developed a new stainless-steel alloy that preserves material strength without relying on nickel. By using additive manufacturing and combining austenitic and ferritic stainless steels, the team created bimetallic structures with improved hardness and strength.
A new catalyst, Ru3Zn0.85W0.15Ox (RZW), has been developed to improve the efficiency and stability of oxygen evolution reaction (OER) in acidic media, enabling more efficient green hydrogen production. The catalyst harnesses the unique electron-withdrawing properties of tungsten and sacrificial behavior of zinc to enhance OER performance.
Researchers have developed a new spintronic device that allows for efficient switching of magnetic states, enabling the creation of lower-power AI chips. This breakthrough could revolutionize AI hardware with high efficiency and low energy costs.