Researchers introduced a conductive fullerene-derivative interlayer to enhance electron transport and increase PCE in all-inorganic perovskite solar cells, improving thermal stability. The interlayer remedies morphology issues, energy level mismatches, and electron traps, resulting in increased efficiency and reduced defects.
Researchers call for national governments to establish mandatory requirements for building ventilation performance, citing a global indoor-air crisis and the need for real-time ventilation rates. The authors note that without this action, poorly ventilated buildings will remain common, posing a risk of airborne transmission.
China's geological and hydrogeological work is facing significant challenges, including environmental degradation and resource depletion. To overcome these challenges, it is essential to promote innovation and transformation in geological work, broaden its application, and improve the level of geological services to society.
The research team offers five recommendations for enhancing practical solar evaporation performance: introducing new energy sources, exploring novel photothermal materials, and designing innovative evaporators. They also emphasize the importance of large-scale ISE systems for practical applications like seawater desalination.
Artificial intelligence is being used to improve the fluidic catalytic cracking process, a key step in making heavy crude oil into gasoline and other products. The method uses neural networks to analyze large amounts of data and identify patterns that can signal potential issues or opportunities, leading to better safety, efficiency, a...
Researchers created a novel family of wheel-like metallic clusters, showcasing unique properties desirable for next-generation technologies such as advanced sensors. The clusters exhibited distinctive magnetic and luminescent behaviors, including fluorescence and temperature control.
Recent studies have reported significant advances in iridium-based catalysts for green hydrogen production. However, addressing high costs and research challenges are crucial to realizing their full potential.
Researchers have developed an effective method to remove toxic hexavalent chromium from wastewater using photocatalytic technology. The new approach utilizes hourglass-type phosphomolybdate-based crystalline photocatalysts, which show a wide light absorption ability and band structure necessary to reduce heavy metal ions.
Researchers developed an integrated radiative and evaporative chiller (IREC) that can reduce heat inside outdoor storage items by over 9°C, achieving cooling powers of up to 700 W m–2. The technology absorbs heat from the environment through evaporation, making it a sustainable alternative to current cooling methods.
Researchers are developing carbon nanotube films as ultrasensitive photodetectors to enhance performance and reduce costs. The goal is to create shortwave infrared photodetectors comparable to traditional materials at a lower cost.
The Meta-Semi algorithm achieves competitive performance on challenging semi-supervised learning tasks, such as CIFAR-100 and STL-10, with only one additional hyper-parameter to tune. This approach naturally yields a meta-learning formulation where the correctly pseudo-labeled data has a similar distribution to labeled data.
Researchers argue that Artificial Social Intelligence (ASI) is the next big frontier for AI. ASI requires social perception, Theory of Mind and social interaction to understand others' mental states and cooperate in shared tasks. The field needs a holistic approach mimicking human interaction.
A Chinese research team developed a silver-modified polyoxometalate photocatalyst that simultaneously cleaves carbon-carbon and carbon-nitrogen bonds under visible light, unlocking new avenues for sustainable chemicals. The compound can be reused up to six times without loss of activity.
Researchers have reviewed novel porous materials called metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) for their potential to advance metal-air batteries. These frameworks exhibit unique molecular structures that enable high porosity with uniform distribution of catalytic sites, making reactions more predictable.
A new computational framework, Non-MapReduce, uses random sampling to efficiently sort through Big Data files, reducing communication and memory costs. This approach enables faster processing times and energy efficiency in cloud computing.
Researchers emphasize the need for further study of borophene-based materials, highlighting challenges in experimental synthesis and desired properties such as mechanical compliance and ultrahigh thermal conductivity. They recommend advancing studies focused on optimizing performance in energy applications and device integration.
Researchers proposed using zwitterions to optimize polyoxometalate cluster electrolytes, improving proton conductivity and cycling stability. The strategy is expected to lead to wider applications in energy devices such as fuel cells and liquid or solid-state batteries.
A new deep-learning based filter, DeepFilter, was proposed to effectively sift through false positive variants generated by VarDict, improving the accuracy and efficiency of cancer diagnosis and treatment. The experimental results showed promising outcomes, outperforming other filters in terms of false positive variant filter tasks.
Researchers have developed a novel fabric using electrospinning technology to produce high-performance protection against electromagnetic interference. The nanomaterial-based fabric has excellent absorption and shielding properties, making it suitable for wearable devices and medical equipment.
Researchers provide a comprehensive catalog of medical knowledge graphs, their creation, and usage. Medical knowledge graphs have wide-ranging utility in the medical field, including disease diagnosis and drug development.
Researchers at Tsinghua University Press improve solar energy absorption of titanium oxo clusters by introducing electron-rich molybdenum pairs. The study enhances visible-light absorption and reduces optical band gaps, paving the way for efficient cluster catalysts to split water into hydrogen using solar energy.
A new method has been developed to calibrate the activity-based travel demand model, taking into account bounded rationality and interdependencies between activities. The study uses a simultaneous perturbation stochastic approximation method to solve the calibration problem.
Researchers developed breathable electrodes woven into fabric used in fire suits, showing stability at temperatures over 520ºC. The fabric offers high thermal protection time of up to 18.91 seconds.
A team of researchers completed a comprehensive review study on functionalized copper current collectors for lithium metal anodes, revealing promising improvements in electrochemical performances. The study showed that planar modified copper foils and nanostructured 3D copper substrates can stabilize lithium nucleation and deposition, ...
Researchers at Beihang University discovered ultrathin vanadium oxychloride's optical anisotropic properties, which will facilitate the design of novel functional devices. The material's unique characteristics make it suitable for emerging nanotechnology applications such as spintronics and optospintronics.
Researchers have reviewed opportunities and challenges in harvesting electricity from ambient water sources. Despite the vast potential of these decentralized energy generation methods, many remain at the lab-bench stage due to issues with durability, scalability and low energy conversion rates.
Researchers investigate lithium battery corrosion as a major obstacle to widespread adoption of clean energy. The authors identify three primary causes: electrochemical corrosion of aluminum current collector, stainless-steel case, and galvanic corrosion of the anode.
A novel preparation technique for a silicon-monoxide-carbon composite material has been developed to improve lithium-ion battery performance. The new method overcomes parasitic chemical reactions and reduces unwanted side effects, resulting in better capacity and high cycling performance.
A survey of 217 rural residents found that while broadband connections are available, many lack Internet skills, leading to limited digital productivity and inclusion. The study highlights the need for in-depth training and education to fuel rural economies and improve resident well-being.
Researchers review recent advancements in carbon-based electrochemical catalysis, highlighting progress in designing high-performance catalysts with controlled active sites. Despite this progress, challenges remain, including efficient synthesis strategies and scaling up production for practical applications.
Researchers from Tsinghua University reviewed methods to modulate properties of two-dimensional transition metal dichalcogenide (TMD) for biosensing applications. The team found that TMD-based sensors can detect a range of biomolecules, including neurotransmitters and proteins.
Researchers at Tsinghua University Press developed a gold-based hybrid material that enhances the efficiency of electrochemical carbon dioxide reduction reaction (CO2 RR) through cucurbit[6]uril modification. The material allows for tunable CO2 enrichment and selective adsorption, leading to improved catalytic performance.
A team of researchers from Tsinghua University Press has developed a strategy to tackle the challenges of lithium metal anodes using hard carbon hosts. The study found that introducing lithiophilic sites and localized high-concentration electrolytes can moderate dendrite growth and inhibit volume expansion, resulting in a dendrite-free...
Researchers have synthesized 2D tin selenide nanosheets with remarkable piezoelectricity, enabling the development of self-powered wearable health tracking devices. The synthesis technique and performance of these nanosheets were improved using chemical vapor deposition.
Researchers at Tsinghua University developed a high-conductivity material, molybdenum disulfide (MoS2), that reduces contact resistance and improves Schottky barrier height in microchips. The team's innovative method uses epitaxial van der Waals contacts to achieve promising results.
A team of researchers proposes an intelligent routing scheme to optimize link load balancing in software-defined networks, achieving significant performance improvements. Their algorithms outperform traditional methods, reducing maximum bandwidth by 24.6 percent in real-world topologies.
Researchers developed a biosensor using 'zero-dimensional' quantum dots and gold nanospheres to boost the accuracy of home-based continuous glucose monitoring. This enhances the sensitivity of electrochemical glucose sensors, making them suitable for everyday use.
Zinc batteries have a lower fire risk than lithium-ion batteries but need significant improvements in performance to deliver on their promise. Researchers identify key areas for improvement, including anode modification and electrolyte optimization.
Chronic stress alters neuronal structure and function in the brain, leading to anxiety disorders. Researchers identified a potential mechanism underlying this change by studying glucocorticoid receptors in mice.
The study examines the role of halide ions in enhancing CO2 conversion efficiency and highlights three areas for further research: designing model systems, developing advanced in-situ characterization tools, and exploring new halide-based catalyst architectures.
The Wuhan University research team has developed a powerful model called FingerDTA, which uses convolutional neural networks to predict drug-target binding affinity. This can help identify potential novel drug candidates and reduce costs and time in traditional drug discovery methods.
Researchers from Tsinghua University developed a flexible strain sensor with high sensitivity and wide strain detection range, enabling the creation of an intelligent lip-language recognition system. The sensor can accurately distinguish large motions and detect minor changes, making it suitable for people with damaged vocal cords.
Researchers found that high-level social support reduces stress, anxiety, and depression in postgraduate students during the pandemic. A strong predictive effect was observed between life stress and social support on anxiety levels.
Researchers highlight the potential of silicon-based anodes for high-energy lithium-ion batteries, but note several challenges that must be overcome. Developing simple, scalable, safe, and sustainable technology is crucial to meeting industrial requirements.
Researchers developed a process using nanoscale structures to improve reverse osmosis processes for seawater desalination. The polyamide membrane showed superior water permeance and comparable salt rejection.
Researchers have developed a novel proposal for designing flip-flop dynamic crystals with temperature-regulated apertures to separate water isotopologues. The new material exhibits excellent separation factor and high selectivity, overcoming the century-old challenge in separation science.
Researchers found that Omicron variant requires ventilation rates up to 50 times greater than the ancestral strain, with specific rates varying depending on exposure time and presence of N95 masks. Air purifiers were ineffective in reducing transmission without masks.
Researchers have found potential in metal chalcogenide materials for thermoelectric power generation. These materials can capture waste heat and convert it into electricity, offering a promising alternative to fossil fuels.
Triboelectric nanogenerators can harness mechanical energy from the environment and deliver it efficiently. Researchers have designed a new type of nanogenerator with constant inherent capacitance, which stores approximately two times more charge than existing time-dependent designs.
Graphdiyne, a synthetic carbon-based material, shows promise as a key component in next-generation battery technology. Its unique properties make it an ideal interface for high-energy density batteries, potentially revolutionizing energy storage and conversion.