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Researchers now able to predict battery lifetimes with machine learning

Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...

SourceDOE/Argonne National Laboratory·JournalJournal of Power Sources·DateMay 5, 2022

The quest for an ideal quantum bit

A team of scientists at Argonne National Laboratory has developed a new qubit platform formed by freezing neon gas into a solid and trapping an electron there. The platform shows great promise in achieving ideal building blocks for future quantum computers, with promising coherence times competitive with state-of-the-art qubits.

New materials for storing flammable industrial gases

Researchers have created new patented materials that can capture and release acetylene with high efficiency, outperforming existing porous materials. The flexible Metal-Organic frameworks (MOFs) offer tunable gas storage and release conditions suitable for industrial applications.

SourceCNRS·JournalNature Chemistry·TypeExperimental study·DateApr 21, 2022

New studies in journal of pharmaceutical analysis demonstrate advancements in nanotechnology and their impact across multiple areas of human health

Recent studies published in the Journal of Pharmaceutical Analysis have found applications of nanotechnology in medicine, drug research, and environmental protection. Researchers developed nanodots made of carbon using natural polysaccharides from mushrooms to detect chromium, and created nanozymes that could be used to detect drug con...

SourceCactus Communications·JournalJournal of Pharmaceutical Analysis·TypeExperimental study·DateApr 7, 2022

‘Self-driving’ lab speeds up research, synthesis of energy materials

Researchers at NC State University have developed a 'self-driving lab' that uses artificial intelligence and fluidic systems to advance our understanding of metal halide perovskite nanocrystals. The technology can autonomously dope MHP nanocrystals, adding manganese atoms on demand, allowing for faster control over properties.

SourceNorth Carolina State University·JournalAdvanced Intelligent Systems·TypeExperimental study·DateMar 16, 2022

Industrial sedimentation in the North Sea

A new study analyzes sediment cores from the North Sea, showing a significant accumulation of pollutants since the industrial revolution. The researchers found that the deposition of pollutants is linked to fine sediments transported by currents, causing a strong accumulation on the seabed.

SourceHelmholtz-Zentrum Hereon·JournalEnvironmental Pollution·TypeExperimental study·DateMar 2, 2022

Early humans placed the hearth at the optimal location in their cave – for maximum benefit and minimum smoke exposure

Researchers developed a software-based smoke dispersal simulation model to study prehistoric archaeology. They found that early humans placed their hearth at the optimal location in the cave, enabling maximum utilization of fire while minimizing smoke exposure. The study identified a 25sqm area as ideal for locating the hearth.

SourceTel-Aviv University·JournalNature·DateJan 31, 2022

How to transform vacancies into quantum information

Scientists have made a breakthrough in controlling the formation of vacancies in silicon carbide, a semiconductor material. The team's simulations tracked the pairing of individual vacancies into a divacancy and discovered the optimal temperatures for creating stable divacancies. This discovery could lead to highly sensitive sensors an...

SourceDOE/Argonne National Laboratory·JournalNature Communications·DateDec 15, 2021

New technique improves conversion of carbon dioxide into liquid fuels

Researchers at Lawrence Berkeley National Laboratory have developed a new approach to modify the surface of copper catalysts, improving the conversion of carbon dioxide into useful fuels. The technique involves coating the copper with thin films of ionomers, which steer the reaction towards generating carbon-rich products.

SourceDOE/Lawrence Berkeley National Laboratory·JournalNature Energy·TypeExperimental study·DateNov 17, 2021

Pass the salt: machine learning accelerates molten salt simulations for nuclear power applications

A team of researchers from the University of Illinois Urbana-Champaign used advanced machine learning to model the physico-chemical properties of a molten salt compound called FLiNaK, enabling accurate atomic-scale reproduction and prediction of behavior under specific reactor conditions. This computational framework can help character...

SourceBeckman Institute for Advanced Science and Technology·JournalThe Journal of Physical Chemistry B·TypeComputational simulation/modeling·DateOct 11, 2021

Eye on the tiger: genetics show global fisheries management should re-think tiger sharks

Research confirms two separate tiger shark populations in the Atlantic and Indo-Pacific oceans, despite trans-oceanic migrations. This long-term separation has resulted in distinct genetic diversity among Hawaiian and Indian Ocean tiger sharks, emphasizing the need for tailored management plans and targeted conservation efforts.

SourceSave Our Seas Foundation·JournalJournal of Heredity·TypeData/statistical analysis·DateSep 27, 2021

Princeton researchers discover new way to encourage vaccinations and masking

Researchers found that advocating for a public health position while also encouraging mindfulness helped participants comply with guidelines and sought out vaccination appointments. The study aimed to address the issue of inconsistent behavior among those who already agree with vaccines being good, but find excuses to not get vaccinated.

SourcePrinceton University·JournalBasic and Applied Social Psychology·TypeSurvey·DateSep 21, 2021

Cutting “edge”: A tunable neural network framework towards compact and efficient models

Researchers at Tokyo Institute of Technology developed a tunable neural network framework that achieves high accuracy and efficiency for sparse CNNs. The new architecture employs a Cartesian-product MAC array and pipelined activation aligners to enable dense computing of sparse convolution, resulting in better resource utilization.

SourceTokyo Institute of Technology·TypeExperimental study·DateAug 23, 2021

New scanning technology could help diagnose Alzheimer’s disease using light

Researchers developed a non-invasive optical technique using spectroscopy to identify structural changes in the brain and diagnose Alzheimer's disease. The new technology has potential as a simple, completely non-invasive method of early detection and could also assess treatment effectiveness.

SourceVeterans Affairs Research Communications·JournalJournal of Alzheimer’s Disease·TypeExperimental study·DateJul 28, 2021

Machine learning and lidar: New tools for the tackle box

Researchers applied supervised machine learning to lidar data from fishery surveys, automating the identification process in regions with a strong possibility of harboring fish. The technique decreased manual inspection in datasets from Yellowstone Lake and Gulf of Mexico studies by 61.14% and 26.8%, respectively.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Applied Remote Sensing·TypeContent analysis·DateJul 27, 2021

Tracking the evolution Maxwell knots

Maxwell knots are peculiar solutions to the Maxwell equations, with unique electric and magnetic field line structures. The study suggests these knotted field lines may move in a special manner, preserving their knot nature, and could be integrable, linking them to other mathematical models.

SourceSpringer·JournalThe European Physical Journal C·DateJan 18, 2021

Women and men executives have differing perceptions of healthcare workplaces according to a survey report in the Journal of Healthcare Management

A survey report in the Journal of Healthcare Management finds that women executives are less likely to see employers as gender-neutral in hiring and promotion. The results show little improvement in these outcomes since 1990, highlighting a persistent gap between men's and women's perceptions of healthcare workplaces.

SourceWolters Kluwer Health·JournalJournal of Healthcare Management·DateOct 5, 2020

New insights into van der Waals materials found

The study observed a rare phenomenon known as the dynamic breaking of Friedel's Law in layered van der Waals materials, where the pairs of Bragg peaks show opposite oscillating patterns. This unique behavior is attributed to the lattice structure of the material and its effect on electron diffraction.

SourcePenn State·JournalACS Nano·DateJul 6, 2020