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Two recent studies published in Biological Conservation and Nature Reviews Earth & Environment, led by researchers from the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) and the Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, highlight the profound impacts of hydropower on biodiversity in river channels and at the land-water surface.

The studies demonstrate that these effects arise from impoundment upstream of the dams, disruptions to the natural flow, sediment, and thermal regimes in downstream channels and floodplains, altering habitat conditions and environmental cues vital for many species to complete their life cycles.

The authors provide an overview of measures aimed at mitigating these adverse effects. They underscore the importance of systematic planning, long-term monitoring, adaptive management, and decision-making involving multiple actors to ensure and call for a critical reassessment of hydropower’s status as an often claimed environmentally friendly energy source.

NASA scientists, in collaboration with researchers from Japan’s University of Toho, have used supercomputers to model the far future of Earth’s habitability. Their findings offer a clear—if distant—timeline for the end of life on our planet.

According to the study, the Sun will be the ultimate cause of the end of life on Earth. Over the next billion years, its output will continue to increase, gradually heating the planet beyond the threshold of life. The research estimates that life on Earth will end around the year 1,000,002,021, when surface conditions become too extreme to support even the most resilient organisms.

But the decline will begin much earlier. As the Sun grows hotter, Earth’s atmosphere will undergo significant changes. Oxygen levels will fall, temperatures will rise exponentially, and air quality will worsen. These shifts, projected through detailed climate change and solar radiation models, map out when life on Earth will end, not as a sudden collapse but as a slow and irreversible decline.

A new technique that uses soundwaves to separate materials for recycling could help prevent potentially harmful chemicals leaching into the environment.

Researchers at the University of Leicester have achieved a major milestone in recycling, advancing techniques to efficiently separate valuable catalyst materials and fluorinated (PFAS) from catalyst-coated membranes (CCMs). The articles are published in RSC Sustainability and Ultrasonic Sonochemistry.

This development addresses critical environmental challenges posed by PFAS—often referred to as “forever chemicals”—which are known to contaminate drinking water and have serious health implications. The Royal Society of Chemistry has urged government intervention to reduce PFAS levels in UK water supplies.

Researchers at the University of Stuttgart have used microbial processes to produce environmentally friendly bio-concrete from urine as part of a “wastewater-bio-concrete-fertilizer” value chain. With the project extension granted by the Baden-Württemberg Ministry of Science, Research, and the Arts, the focus now shifts to product optimization and practical testing.

Concrete is booming. Around 4 billion tons of cement are processed into concrete and used worldwide every year. With serious consequences for the environment.

“Conventional cement is typically fired at temperatures around 1,450 degrees. This consumes a lot of energy and releases large quantities of greenhouse gases,” says Professor Lucio Blandini, Head of the Institute for Lightweight Structures and Conceptual Design (ILEK) at the University of Stuttgart.

Discovering new, powerful electrolytes is one of the major bottlenecks in designing next-generation batteries for electric vehicles, phones, laptops and grid-scale energy storage.

The most stable electrolytes are not always the most conductive. The most efficient batteries are not always the most stable. And so on.

“The electrodes have to satisfy very different properties at the same time. They always conflict with each other,” said Ritesh Kumar, an Eric and Wendy Schimdt AI in Science Postdoctoral Fellow working in the Amanchukwu Lab at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME).

Thin film solar cells can be integrated into unexpected surfaces, such as building facades, windows, or the growing floating solar market. Thin film’s flexibility opens doors to new applications and helps overcome some of the barriers that have long limited the adoption of solar energy.

A lot of the interest in thin film solar technologies is coming from one company, based right in the heart of the UK: Power Roll. The County Durham-based firm has spent years exploring how to make thin, flexible solar cells that can be applied almost anywhere and has recently been hitting major milestones in commercialising the technology in an effort to get it out across the world.

Solar Power Portal sat down with Power Roll CEO Neil Spann to explore how thin film solar could deliver the government’s promised “rooftop revolution” and how Power Roll’s unique manufacturing process can make solar power a cheap reality worldwide.

Solar cells based on perovskites, materials with a characteristic crystal structure first unveiled in the mineral calcium titanate (CaTiO3), have emerged as a promising alternative to conventional silicon-based photovoltaics. A key advantage of these materials is that they could yield high power conversion efficiencies (PCEs), yet their production costs could be lower.

Perovskite films can exist in different structural forms, also referred to as phases. One is the so-called α-phase (i.e., a photoactive black phase), which is the most desirable phase for the efficient absorption of light and the transport of charge carriers. The δ-phase, on the other hand, is an intermediate phase characterized by a different atom arrangement and reduced photoactivity.

Researchers at the University of Toledo, Northwestern University, Cornell University and other institutes recently introduced a new strategy to control the crystallization process in -based , stabilizing the δ-phase while facilitating their transition to the α-phase. Their proposed approach, outlined in a paper in Nature Energy, enables the formation of Lewis bases on perovskites on demand to optimize crystallization, which can enhance the efficiency and stability of solar cells.

Increasingly stricter regulations on emissions from lean-burn engines, such as the Euro 7 standard, are approaching. This requires the development of catalytic materials that can reduce the toxic nitrogen oxides efficiently at low temperatures. Researchers at the Department of Physics at Chalmers University of Technology, together with industrial partner Umicore, now present a study showing how machine learning could help engines run cleaner.

Catalytic converters reduce the amount of toxic pollutants emitted into the air from a vehicle’s exhaust system. Stricter regulations on emissions standards within the coming years, such as the European Union’s proposed Euro 7, aim at further reducing air pollution from vehicles. Therefore, improved catalysts are needed to limit the emissions of harmful pollutants.

The main technology of selective catalytic reduction of uses ammonia as a reducing agent. Thus, the catalytic material should promote the formation of a nitrogen–nitrogen bond between nitrogen oxides and ammonia in an oxygen-rich environment and prevent unwanted reactions, which include the oxidation of ammonia to even more nitrogen oxides or nitrous oxide.

Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries) to combat climate change. However, this race is more like a marathon, as conventional approaches are trial-and-error in nature, typically focusing on testing individual materials and set pathways one by one.

To get us to the finish line faster, researchers at Tohoku University developed a data-driven AI framework that points out potential solid-state electrolyte (SSE) candidates that could be “the one” to create the ideal sustainable energy solution.

This model does not only select optimal candidates, but can also predict how the reaction will occur and why this candidate is a good choice—providing interesting insights into potential mechanisms and giving researchers a huge head start without even stepping foot into the lab.