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                    <title>Phys.org - latest science and technology news stories</title>
            <link>https://phys.org/</link>
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            <description>Phys.org internet news portal provides the latest news on science including: Physics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine.</description>

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                    <title>Robots and AI uncover unexpected pathway in classic 135-year-old chemical reaction</title>
                    <description>Chemical reactions are often written as simple equations: Starting materials go in, and a product comes out. In reality, the same substrates can follow many different pathways depending on their concentrations, temperature, catalysts and other conditions.</description>
                    <link>https://phys.org/news/2026-09-robots-ai-uncover-unexpected-pathway.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Tue, 15 Sep 2026 10:00:01 EDT</pubDate>
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                    <title>Room-temperature skyrmion-based synapses could pave the way for energy-efficient AI</title>
                    <description>Artificial intelligence is transforming how information is generated, processed and stored, but its rapid expansion is also driving unprecedented demand for computing power and electricity. Developing hardware that can process information more efficiently is therefore becoming one of the major technological challenges of the AI era.</description>
                    <link>https://phys.org/news/2026-09-room-temperature-skyrmion-based-synapses.html</link>
                    <category>Nanophysics</category>                    <pubDate>Mon, 14 Sep 2026 19:20:01 EDT</pubDate>
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                    <title>AI models enable cross-species mapping of cell biology</title>
                    <description>Researchers at Stanford Medicine have developed two new artificial intelligence models of the biological cell. The first, called universal cell embedding, paved the way for a second-generation model called TranscriptFormer, which has been trained on data from 112 million cells representing 12 species, ranging from single-celled yeast to humans.</description>
                    <link>https://phys.org/news/2026-09-ai-enable-species-cell-biology.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Mon, 14 Sep 2026 17:30:02 EDT</pubDate>
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                    <title>AI updates can sometimes feel like breakups or losses, study finds</title>
                    <description>Artificial intelligence systems, particularly those powered by large language models and designed to communicate with users on a one-to-one basis, are increasingly used worldwide. Some of these systems, such as Replika, are also marketed as &quot;AI companions&quot; that can engage socially with humans and use emotional language.</description>
                    <link>https://phys.org/news/2026-09-ai-breakups-losses.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 14 Sep 2026 12:50:01 EDT</pubDate>
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                    <title>Evolutionary home advantage: Field experiment reveals adaptation to be surprisingly local</title>
                    <description>A research team from the University of Bern has shown in a large-scale field experiment that populations of the same fish species can be much more fine-tuned to their local environments than previously thought. Habitats that appear nearly identical to us can therefore make a decisive difference in evolution. This hidden diversity is not only key to understanding how biodiversity arises, but also has important implications for its conservation.</description>
                    <link>https://phys.org/news/2026-09-evolutionary-home-advantage-field-reveals.html</link>
                    <category>Evolution</category>                    <pubDate>Mon, 14 Sep 2026 10:40:04 EDT</pubDate>
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                    <title>AI helps microscopes find the most informative nanoscale features in a sample</title>
                    <description>Researchers at the Department of Energy&#039;s Oak Ridge National Laboratory (ORNL) have developed an artificial intelligence framework that helps researchers use atomic force microscopes to identify important nanoscale features while autonomously targeting the most informative areas of a sample for closer study.</description>
                    <link>https://phys.org/news/2026-09-ai-microscopes-nanoscale-features-sample.html</link>
                    <category>Bio &amp; Medicine</category>                    <pubDate>Sun, 13 Sep 2026 16:00:01 EDT</pubDate>
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                    <title>AI helps find hidden human proteins and reveals what they do</title>
                    <description>New research shows how artificial intelligence, combined with advanced experimental science, can help find &quot;hidden&quot; and unexplored proteins in the human body and reveal what they actually do, according to a new study published in Nature.</description>
                    <link>https://phys.org/news/2026-09-ai-hidden-human-proteins-reveals.html</link>
                    <category>Biotechnology</category>                    <pubDate>Fri, 11 Sep 2026 17:40:05 EDT</pubDate>
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                    <title>Smart pen detects pressure and movement to identify children&#039;s writing difficulties sooner</title>
                    <description>A study by Politecnico di Milano and the University of Insubria (Varese and Como) has been published in PLOS Digital Health. The study involved more than 700 children from primary and lower secondary school. The participants used the THInkPen (Tele-Health Ink Pen) while completing two BVSCO-3 tasks from the Battery for the Clinical Assessment of Writing and Orthographic Skills. This is the most widely used test in Italy for assessing writing difficulties, dysgraphia and dysorthography.</description>
                    <link>https://phys.org/news/2026-09-smart-pen-pressure-movement-children.html</link>
                    <category>Education</category>                    <pubDate>Fri, 11 Sep 2026 14:40:02 EDT</pubDate>
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                    <title>AI extracts interpretable constitutive laws directly from solid-mechanics data</title>
                    <description>Researchers at the Eastern Institute of Technology (EIT), Ningbo, have developed a graph-based approach that directly extracts concise, accurate constitutive equations from solid-material experimental data. The study, published in Science Advances, describes a method for discovering constitutive models for alloy steels, lithium metal and filled rubbers. It outperforms mainstream empirical models in predictive accuracy while preserving explicit, physically interpretable mathematical formulations.</description>
                    <link>https://phys.org/news/2026-09-ai-constitutive-laws-solid-mechanics.html</link>
                    <category>General Physics</category>                    <pubDate>Fri, 11 Sep 2026 14:00:01 EDT</pubDate>
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                    <title>First Antarctic-wide map of grounded icebergs reveals &#039;picket fence effect&#039; holding sea ice in place</title>
                    <description>For the first time, important features of the Antarctic coastal zone have been mapped at high resolution around the continent by training an artificial intelligence tool to accurately recognize grounded icebergs in satellite radar images.</description>
                    <link>https://phys.org/news/2026-09-antarctic-wide-grounded-icebergs-reveals.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Fri, 11 Sep 2026 12:40:02 EDT</pubDate>
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                    <title>Turkey-monitoring AI forecasts body weight three weeks ahead with 93% accuracy</title>
                    <description>Body weight monitoring is one of the most important tools for poultry farmers. It provides valuable information about growth, uniformity, feed conversion efficiency—how well birds turn feed into meat—and the occurrence of diseases in a flock. But obtaining frequent and accurate body weight measurements is a significant challenge in commercial poultry production, according to researchers at Penn State who may have developed a solution.</description>
                    <link>https://phys.org/news/2026-09-turkey-ai-body-weight-weeks.html</link>
                    <category>Biotechnology</category>                    <pubDate>Fri, 11 Sep 2026 11:20:08 EDT</pubDate>
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                    <title>Uniting sequence and structure to map the protein universe across billions of years of evolution</title>
                    <description>An international team of researchers, including those at the Earth-Life Science Institute (ELSI) at the Institute of Science Tokyo, has developed a protein language model that brings together two fundamental sources of information about proteins: their amino acid sequences and three-dimensional structures.</description>
                    <link>https://phys.org/news/2026-09-sequence-protein-universe-billions-years.html</link>
                    <category>Evolution</category>                    <pubDate>Fri, 11 Sep 2026 10:00:06 EDT</pubDate>
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                    <title>Scientists visualize proteins&#039; hidden water architecture that may help define biological function</title>
                    <description>For decades, scientists have understood proteins primarily through two defining features: their amino acid sequence and their three-dimensional structure. This framework has driven major advances in biology, biotechnology and medicine, culminating in recent artificial intelligence tools capable of predicting protein structures with remarkable accuracy.</description>
                    <link>https://phys.org/news/2026-09-scientists-visualize-proteins-hidden-architecture.html</link>
                    <category>Molecular &amp; Computational biology</category>                    <pubDate>Thu, 10 Sep 2026 20:00:01 EDT</pubDate>
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                    <title>1,000 times faster operations bring reliable quantum computing a step closer</title>
                    <description>So far, quantum computers have been held back by their extreme sensitivity to errors and external disturbances. The longer a quantum operation takes, the greater the risk of computational errors.</description>
                    <link>https://phys.org/news/2026-09-faster-reliable-quantum-closer.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Thu, 10 Sep 2026 13:40:10 EDT</pubDate>
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                    <title>Interviewing with AI? Try not to let the robot affect your behavior</title>
                    <description>A firm handshake used to be all a job candidate needed to make a good first impression, but today a growing number of firms are relying on artificial intelligence to screen applicants.</description>
                    <link>https://phys.org/news/2026-09-ai-robot-affect-behavior.html</link>
                    <category>Economics &amp; Business</category>                    <pubDate>Thu, 10 Sep 2026 12:39:27 EDT</pubDate>
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                    <title>Researchers chart new course for AI-powered biomedical discoveries</title>
                    <description>University of Missouri researchers are paving the way as artificial intelligence transforms biomedical research. A team from the College of Engineering and collaborators recently published one of the most comprehensive reviews to date of an emerging AI approach for biology known as flow matching. The work, published in Nature Machine Intelligence, provides scientists around the world with a roadmap for applying the technology to accelerate drug discovery, precision medicine and other biomedical advances.</description>
                    <link>https://phys.org/news/2026-09-ai-powered-biomedical-discoveries.html</link>
                    <category>Biotechnology</category>                    <pubDate>Wed, 09 Sep 2026 16:40:05 EDT</pubDate>
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                    <title>AI reveals new class of cellular &#039;off switch&#039; linked to cancer pathways</title>
                    <description>Cornell researchers have used artificial intelligence to uncover a previously unknown way cells control how proteins move inside them, a process essential for growth, communication and movement that is often disrupted in cancer.</description>
                    <link>https://phys.org/news/2026-09-ai-reveals-class-cellular-linked.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Wed, 09 Sep 2026 14:20:03 EDT</pubDate>
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                    <title>OpenAI says 10,000 AI agents cracked one of math&#039;s hardest problems in 88 hours</title>
                    <description>OpenAI said Tuesday that one of its unreleased artificial intelligence models had solved a mathematical puzzle that has eluded mathematicians for generations, a claim that also drew a fight with rival researchers over credit.</description>
                    <link>https://phys.org/news/2026-09-openai-ai-agents-math-hardest.html</link>
                    <category>Mathematics</category>                    <pubDate>Wed, 09 Sep 2026 06:45:12 EDT</pubDate>
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                    <title>Families&#039; interest in their kids&#039; education is falling around the globe as scores drop, test shows</title>
                    <description>Families&#039; interest in their kids&#039; education is falling in many high-income countries as school systems struggle with plunging test scores, according to newly released results from a standardized test taken by 15-year-olds around the world.</description>
                    <link>https://phys.org/news/2026-09-families-kids-falling-globe-scores.html</link>
                    <category>Education</category>                    <pubDate>Wed, 09 Sep 2026 04:40:08 EDT</pubDate>
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                    <title>Physics-based AI unlocks first global predictions of carbon cycling in ocean sediments</title>
                    <description>Researchers at The University of Manchester have developed a new physics-based artificial intelligence approach that, for the first time, enables accurate global-scale predictions of how dissolved organic carbon moves between seawater and marine sediments, a crucial but previously unquantifiable component of the planet&#039;s carbon cycle.</description>
                    <link>https://phys.org/news/2026-09-physics-based-ai-global-carbon.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Tue, 08 Sep 2026 16:40:03 EDT</pubDate>
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                    <title>AI governance model inspired by Pope Leo XIV aims to put ethics first</title>
                    <description>Researchers at the John Paul II Catholic University of Lublin (KUL) and the University of Eastern Finland have developed a new model of artificial intelligence governance inspired by the teachings of Pope Leo XIV as set out in his encyclical Magnifica Humanitas. The new model is intended to ensure that AI technologies are developed and used safely, fairly and with full respect for human rights.</description>
                    <link>https://phys.org/news/2026-09-ai-pope-leo-xiv-aims.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 07 Sep 2026 17:40:02 EDT</pubDate>
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                    <title>Bumpy battery surfaces can masquerade as nanoscale ion pathways, misleading material design</title>
                    <description>A signal that appears to show ions moving inside a battery may, in fact, be an illusion caused by an uneven surface. A KAIST research team has identified the origin of this type of artifact, which can lead researchers to misinterpret what is happening inside a battery, and has developed a method to reduce it.</description>
                    <link>https://phys.org/news/2026-09-bumpy-battery-surfaces-masquerade-nanoscale.html</link>
                    <category>Nanomaterials</category>                    <pubDate>Mon, 07 Sep 2026 17:20:04 EDT</pubDate>
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                    <title>How &#039;hyperselection&#039; is making modern life efficient, pleasant—and boring</title>
                    <description>It&#039;s difficult to imagine a song like Queen&#039;s 1975 &quot;Bohemian Rhapsody&quot; topping the charts today. Almost six minutes long, it moves through several radically different musical sections and famously ignores the conventional structure of a pop song. It seems almost designed to break the rules of what a hit single should be.</description>
                    <link>https://phys.org/news/2026-09-hyperselection-modern-life-efficient-pleasant.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 07 Sep 2026 11:20:03 EDT</pubDate>
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                    <title>Breaking through AlphaFold&#039;s limits to predict how proteins change shape</title>
                    <description>Conformational changes in proteins are vital to their function yet remain challenging for state-of-the-art artificial intelligence, such as AlphaFold3, to predict. Researchers at the Institute for Molecular Science (IMS), and the Graduate University for Advanced Studies, SOKENDAI introduced a repulsive force between predicted structures, allowing AlphaFold3 to sample the multiple conformational states that its default settings rarely capture.</description>
                    <link>https://phys.org/news/2026-09-alphafold-limits-proteins.html</link>
                    <category>Biotechnology</category>                    <pubDate>Sat, 05 Sep 2026 17:00:05 EDT</pubDate>
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                    <title>New AI tool maps the hidden universe of small molecules</title>
                    <description>The human body and its gut microbiome produce thousands of small molecules that shape how the body functions—influencing immunity, metabolism and more. Identifying what those molecules actually are has been one of the biomedical sciences&#039; most persistent bottlenecks. More than 80% of compounds detected in a typical biological sample cannot be matched to any known structure using current methods.</description>
                    <link>https://phys.org/news/2026-09-ai-tool-hidden-universe-small.html</link>
                    <category>Biochemistry</category>                    <pubDate>Fri, 04 Sep 2026 17:00:01 EDT</pubDate>
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                    <title>AI-driven polymer discovery could replace years of trial and error with closed-loop testing</title>
                    <description>In the realm of materials science, there is a plethora of datasets and tools at our disposal—the issue is how to effectively use these resources in harmony. Researchers at the Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, have identified major bottlenecks holding back artificial intelligence-driven polymer innovation and created a system that integrates multiple tools (such as polymer databases, predictive models, AI agents and automated laboratories).</description>
                    <link>https://phys.org/news/2026-09-ai-driven-polymer-discovery-years.html</link>
                    <category>Polymers</category>                    <pubDate>Fri, 04 Sep 2026 09:40:03 EDT</pubDate>
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                    <title>Nanoscale multiferroic materials open the path to efficient magnetic memory technology</title>
                    <description>With the rapid spread of cloud computing, artificial intelligence and data centers, global energy consumption is rising to new heights. A promising way to reduce this burden is to develop memory devices that store information magnetically yet are written using electric fields. Magnetic memories are nonvolatile, meaning stored information is retained without a power supply.</description>
                    <link>https://phys.org/news/2026-09-nanoscale-multiferroic-materials-path-efficient.html</link>
                    <category>Nanophysics</category>                    <pubDate>Thu, 03 Sep 2026 17:40:01 EDT</pubDate>
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                    <title>How a plant&#039;s refusal to self-pollinate could help India grow more of its own cooking oil</title>
                    <description>Most people assume plants reproduce through whatever pollen happens to land on them. This is not true. A collaborative research initiative involving the Indian Institute of Technology Gandhinagar (IITGN) has mapped and functionally tested the genes that control a natural &quot;self-rejection&quot; system in two widely grown Indian oilseed crops, Brassica rapa (mustard) varieties toria and yellow sarson. This system governs the molecular &quot;lock-and-key&quot; mechanism in certain mustard plants that allows them to reject their own pollen.</description>
                    <link>https://phys.org/news/2026-09-pollinate-india-cooking-oil.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Thu, 03 Sep 2026 16:50:01 EDT</pubDate>
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                    <title>Permafrost melt could cost $261 billion in infrastructure damages, study suggests</title>
                    <description>A new study provides insight into the economic impact of melting permafrost on Arctic communities. Permafrost is ground that permanently remains below freezing for at least two consecutive years. Permafrost covers about 24% of the Northern Hemisphere, including large areas of Alaska, Canada and Siberia.</description>
                    <link>https://phys.org/news/2026-09-permafrost-billion-infrastructure.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Thu, 03 Sep 2026 14:20:01 EDT</pubDate>
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                    <title>Quantum-optical spin glass could improve how AI remembers and learns</title>
                    <description>A new study has demonstrated that it is possible to make a network of atoms and photons that could improve how artificial intelligence stores and recalls memories. This network, called a quantum-optical spin glass, works as an associative memory, a form of AI that enables the recall of full memories from partial information—much like how humans can recognize a person&#039;s face in a blurred photograph.</description>
                    <link>https://phys.org/news/2026-09-quantum-optical-glass-ai.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Thu, 03 Sep 2026 14:00:01 EDT</pubDate>
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