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Category: sustainability

New physical model aims to boost energy storage research

Engineers rely on computational tools to develop new energy storage technologies, which are critical for capitalizing on sustainable energy sources and powering electric vehicles and other devices. Researchers have now developed a new classical physics model that captures one of the most complex aspects of energy storage research—the dynamic nonequilibrium processes that throw chemical, mechanical and physical aspects of energy storage materials out of balance when they are charging or discharging energy.

The new Chen-Huang Nonequilibrium Phasex Transformation (NExT) Model was developed by Hongjiang Chen, a former Ph.D. student at NC State, in conjunction with his advisor, Hsiao-Ying Shadow Huang, who is an associate professor of mechanical and aerospace engineering at the university. A paper on the work, “Energy Change Pathways in Electrodes during Nonequilibrium Processes,” is published in The Journal of Physical Chemistry C.

But what are “nonequilibrium processes”? Why are they important? And why would you want to translate those processes into mathematical formulae? We talked with Huang to learn more.

Major climate-GDP study under review after facing challenge

A blockbuster study published in top science journal Nature last year warned that unchecked climate change could slash global GDP by a staggering 62% by century’s end, setting off alarm bells among financial institutions worldwide.

But a re-analysis by Stanford University researchers in California, released Wednesday, challenges that conclusion—finding the projected hit to be about three times smaller and broadly in line with earlier estimates, after excluding an anomalous result tied to Uzbekistan.

The saga may culminate in a rare retraction, with Nature telling AFP it will have “further information to share soon”—a move that would almost certainly be seized upon by climate-change skeptics.

A dual ion beam tests new steel under fusion energy-producing conditions

A new class of advanced steels needs more fine-tuning before use in system components for fusion energy—a more sustainable alternative to fission that combines two light atoms rather than splitting one heavy atom. The alloy, a type of reduced activation ferritic/martensitic or RAFM steel, contains billions of nanoscale particles of titanium carbide meant to absorb radiation and trap helium produced by fusion within a single component.

When subjected to and concentrations representative of fusion, the titanium-carbide precipitates initially helped trap helium but later dissolved under high damage levels. After dissolving, the alloy swelled as it was no longer able to disperse and trap helium, which could compromise system components.

The first-of-its-kind systematic investigation led by University of Michigan engineers was published in Acta Materialia and the Journal of Nuclear Materials in a series of three papers.

Vibration energy harvesting by ferrofluids in external magnetic fields

The development of wearable electronics and the current era of big data requires the sustainable power supply of numerous distributed sensors. In this paper, we designed and experimentally studied an energy harvester based on ferrofluid sloshing. The harvester contains a horizontally positioned cylindrical vial, half-filled with a ferrofluid exposed to a magnetic field. The vial is excited by a laboratory shaker and the induced voltage in a nearby coil is measured under increasing and decreasing shaking rates. Five ferrofluid samples are involved in the study, yielding the dependence of the electromotive force on the ferrofluid magnetization of saturation. The energy harvesting by ferrofluid sloshing is investigated in various magnetic field configurations. It is found that the most effective magnetic field configuration for the energy harvesting is characterized by the field intensity perpendicular to the axis of the vial motion and gravity. The harvested electric power linearly increases with the ferrofluid magnetization of saturation. The electromotive force generated by each ferrofluid is found identical for measurements in acceleration and deceleration mode. A significant reduction in the induced voltage is observed in a stronger magnetic field. The magneto-viscous effect and partial immobilization of the ferrofluid in the stronger magnetic field is considered. The magneto-viscous effect is documented by a supplementing experiment. The results extend knowledge on energy harvesting by ferrofluid sloshing and may pave the way to applications of ferrofluid energy harvesters for mechanical excitations with changing directions in regard to the magnetic field induction.

Rajnak, M., Kurimsky, J., Paulovicova, K. et al. Vibration energy harvesting by ferrofluids in external magnetic fields. Sci Rep 15, 26,701 (2025). https://doi.org/10.1038/s41598-025-12490-w.

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Squeezed perovskite layers show improved light-handling capabilities

Perovskite is a rising star in the field of materials science. The mineral is a cheaper, more efficient alternative to existing photovoltaic materials like silicon, a semiconductor used in solar cells. Now, new research has shown that applying pressure to the material can alter and fine-tune its structures—and thus properties—for a variety of applications.

Using the Canadian Light Source (CLS) at the University of Saskatchewan, a team of researchers observed in real time what happened when they “squeezed” a special type of perovskite between two diamonds. 2D hybrid perovskite is made up of alternating organic and inorganic layers. It’s the interaction between these layers, says Dr. Yang Song, professor of chemistry at Western University, that determines how the material absorbs, emits, or controls light.

The research team found that applying pressure significantly increased the material’s photoluminescence, making it brighter, which Song says hints at potential applications in LED lighting. The team also observed a continuous change in its color from green to yellow to red. “So you can tune the color.” Being able to observe changes to the material as they happen using ultrabright synchrotron light was critical to their research, said Song.

Protein condensate sequesters synaptic vesicles at the release site

Message transfer from brain cell to brain cell is key to information processing, learning and forming memories. The bubbles, synaptic vesicles, are housed within the synapse — the connection point where brain cells communicate. In typical synapses within the brains of mammals, 300 synaptic vesicles are clustered together in the intersection between any two brain cells, but only a few of these vesicles are used for such message transfer, researchers say. Pinpointing how a synapse knows which vesicles to use has long been a target of research by those who study the biology and chemistry of thought.

In an effort to better understand the operation of these synaptic vesicles, the team designed a study that first focused on endocytosis, a process in which brain cells recycle synaptic vesicles after they are used for neuronal communication.

Already aware of intersectin’s general role in endocytosis and neuronal communication, the scientists genetically engineered mice to lack the gene that codes for intersectin. However, and somewhat to their surprise, the lead says removing the protein did not appear to halt endocytosis in brain cells.

The research team refocused their experiments, taking a closer look at the synaptic vesicles themselves.

Using a high-resolution fluorescence microscope to observe where intersectin is in a synapse, the researchers found it in between vesicles that are used for neuronal communication and those that are not, as if they are physically separating the two.

To further understand the role of intersectin at this location, they used an electron microscope to visualize synaptic vesicles in action across one billionth of a meter. In all the nerve cells from mice lacking this protein, the scientists say synaptic vesicles close to the membrane were absent from the release zone of the synapse, the place where the bubbles would discharge to nearby neurons.

“This suggested that intersectin regulates release, rather than recycling, of these vesicles at this location of the synapse,” says the author.

Continue reading “Protein condensate sequesters synaptic vesicles at the release site” | >

AI tools identify promising alternatives to lithium-ion batteries for energy storage

Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable alternatives to lithium-ion batteries.

In research published in Cell Reports Physical Science, the NJIT team led by Professor Dibakar Datta successfully applied generative AI techniques to rapidly discover new porous materials capable of revolutionizing multivalent-ion batteries. These batteries, using abundant elements like magnesium, calcium, aluminum and zinc, offer a promising, cost-effective alternative to , which face global supply challenges and sustainability issues.

Unlike traditional lithium-ion batteries, which rely on lithium ions that carry just a single positive charge, multivalent-ion batteries use elements whose ions carry two or even three positive charges. This means multivalent-ion batteries can potentially store significantly more energy, making them highly attractive for future energy storage solutions.

Improved slime mold algorithm boosts efficiency in e-commerce cloud data migration

As e-commerce platforms grow ever more reliant on cloud computing, efficiency and sustainability have come to the fore as urgent pressures on development. A study published in the International Journal of Reasoning-based Intelligent Systems has introduced an innovative approach to the problem based on a slime mold algorithm (SMA). The work could improve both performance and energy efficiency for e-commerce systems.

At the core of the work is the development of BOSMA—the Balanced Optimization Slime Mold Algorithm. The SMA is a heuristic optimization technique inspired by the natural behavior of slime molds.

Slime molds are useful models for algorithms because they excel at finding efficient paths through complex environments and adapting to changing conditions. Moreover, they do so without any central control system. They can explore their surroundings by sending out multiple tendrils, pseudopodia, in different directions, adjusting their shape and connections in response to feedback such as nutrient availability or obstacles.

New cooling technology raises power and longevity of solar cells

A team of international researchers led by King Abdullah University of Science and Technology (KAUST) and including researchers from King Abdulaziz City for Science and Technology (KACST) has developed a new composite material that enhances the performance of solar cells. Solar cells with the material functioning for weeks in the Saudi Arabia desert showed higher power output and a longer operation time than solar cells without. Additionally, the material is cheap to fabricate and reduces the cost of maintaining solar cells. The study can be read in Materials Science and Engineering.

Composite material keeps solar cells cool using air moisture and no electricity to extend solar cell lifetime more than 200%.

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