logo
Five-dimensional physics solves decades-old mystery of mercury fission

Five-dimensional physics solves decades-old mystery of mercury fission

Yahoo6 hours ago

An international team of researchers, including scientists from Science Tokyo, has developed a five-dimensional Langevin model that accurately reproduces the complex fission fragment distributions and kinetic energies of medium-mass mercury isotopes like 180Hg and 190Hg.
Unlike previous models that struggled to explain mercury's asymmetric fission, this approach captures the unusual double-humped mass distribution seen in mercury-180, revealing how nuclear shell effects continue to shape fission dynamics even at higher excitation energies than previously assumed.
By demonstrating that these structural effects persist beyond heavy elements like uranium and plutonium, the findings enhance the understanding of nuclear fission processes and could improve predictive models for unexplored isotopes across the nuclear chart.
Aiming to uncover the reasons behind mercury's unusual fission behavior, Associate Professor Chikako Ishizuka and her international team at the Institute of Zero-Carbon Energy, Science Tokyo, developed a five-dimensional Langevin model. Published online in Physical Review C on May 20, 2025, their study offers precise predictions of fragment distributions and total kinetic energy, earning recognition as an Editor's Suggestion by the journal.
Unlike the well-studied fission of heavy elements such as uranium and plutonium, the way lighter nuclei like mercury split remains poorly understood.
Experiments have revealed that mercury-180 undergoes an unusual asymmetric fission, producing fragments of very different sizes. These surprising results challenge current theories and highlight the need to understand how nuclear structure influences fission in elements with atomic numbers below 82.
The Langevin model tracks the changing shape of the nucleus in real time, from its initial equilibrium state to the point of scission when it splits into smaller fragments. Developing consistent models for these lighter elements is crucial, as they often behave very differently from well-studied heavy isotopes.
In their study, the team focused on two mercury isotopes: 180Hg, created by colliding 36Ar with 144Sm, and 190Hg, formed from 36Ar and 154Sm. They calculated how the fission fragments split and their total kinetic energies.
One major improvement in the model was the introduction of a soft wall at the edges of the deformation space, allowing it to more accurately simulate how the nucleus changes shape during fission. The researchers also included the way shell effects evolve with rising excitation energy, a factor often oversimplified in earlier models.
https://www.youtube.com/shorts/Uouija90odI
Additionally, the simulation closely matched experimental results for both the fragment mass distributions and total kinetic energy. For 180Hg, it successfully recreated the unusual double-peaked mass pattern observed in experiments. The study also revealed that shell effects remain important even at higher excitation energies of 40–50 MeV, contradicting earlier assumptions that they disappear.
The researchers also included multichance fission, where the nucleus releases neutrons before splitting. They found this has little impact on fragment masses at low energies but strongly affects the total kinetic energy, making TKE a useful way to study multichance fission.
According to Ishizuka, these findings offer valuable new insights into the fission process, deepening our fundamental understanding of nuclear behavior, and they confirm that the 5D Langevin approach is a reliable and effective tool for accurately predicting key fission observables.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Will we ever know for sure how COVID-19 began? Not without more data from China, WHO says
Will we ever know for sure how COVID-19 began? Not without more data from China, WHO says

Yahoo

time3 hours ago

  • Yahoo

Will we ever know for sure how COVID-19 began? Not without more data from China, WHO says

Scientists still aren't sure how the COVID-19 pandemic – the worst health emergency in a century – began. That was the unsatisfying conclusion from an expert group charged by the World Health Organization (WHO) to investigate the pandemic's origins in its final report. Marietjie Venter, the group's chair, said at a press briefing that most scientific data supports the hypothesis that the new coronavirus jumped to humans from animals. That was also the conclusion drawn by the first WHO expert group that investigated the pandemic's origins in 2021, when scientists concluded the virus likely spread from bats to humans, via another intermediary animal. At the time, WHO said a lab leak was 'extremely unlikely'. Related Five years after COVID appeared, mysteries remain. Here's what we know Venter said that after more than three years of work, WHO's expert group was unable to get the necessary data to evaluate whether or not COVID-19 was the result of a lab accident, despite repeated requests for hundreds of genetic sequences and more detailed biosecurity information that were made to the Chinese government. 'Therefore, this hypothesis could not be investigated or excluded,' she said. 'It was deemed to be very speculative, based on political opinions and not backed up by science'. She said that the 27-member group did not reach a consensus; one member resigned earlier this week and three others asked for their names to be removed from the report. Venter said there was no evidence to prove that COVID-19 had been manipulated in a lab, nor was there any indication that the virus had been spreading before December 2019 anywhere outside of China. Related Italy honours COVID-19 victims on remembrance day, five years after pandemic hit 'Until more scientific data becomes available, the origins of how SARS-CoV-2 entered human populations will remain inconclusive,' Venter said, referring to the scientific name for the COVID-19 virus. WHO Director-General Tedros Adhanom Ghebreyesus said it was a 'moral imperative' to determine how COVID began, noting that the virus killed at least 20 million people, wiped at least $10 trillion (€8.8 trillion) from the global economy and upended the lives of billions of people. Last year, the AP found that the Chinese government froze meaningful domestic and international efforts to trace the virus' origins in the first weeks of the outbreak in 2020 and that WHO itself may have missed early opportunities to investigate how COVID-19 began. Related New CIA assessment claims COVID-19 virus 'probably' came from Chinese laboratory US President Donald Trump has long blamed the emergence of the coronavirus on a laboratory accident in China, while a US intelligence analysis found there was insufficient evidence to prove the theory. Chinese officials have repeatedly dismissed the idea that the pandemic could have started in a lab, saying that the search for its origins should be conducted in other countries. Last September, researchers zeroed in on a short list of animals they think might have spread COVID-19 to humans, including racoon dogs, civet cats, and bamboo rats.

RevolKa Ltd. Joins Research and Development Program for Innovative Biologics Funded by the Japanese Agency for Medical Research and Development (AMED)
RevolKa Ltd. Joins Research and Development Program for Innovative Biologics Funded by the Japanese Agency for Medical Research and Development (AMED)

Yahoo

time5 hours ago

  • Yahoo

RevolKa Ltd. Joins Research and Development Program for Innovative Biologics Funded by the Japanese Agency for Medical Research and Development (AMED)

RevolKa Fueling Up AI Protein Engineering Platform-based Therapeutic Program SENDAI, Japan, June 30, 2025--(BUSINESS WIRE)--RevolKa Ltd. (RevolKa), a venture-backed biotech company providing a cutting-edge AI-driven protein engineering technology platform, called aiProtein® has announced its participation in a research and development program funded by a government grant of 54 million JPY (approximately US$372K for the first year) from the Japanese Agency for Medical Research and Development (AMED). This project, set to continue over 4 years, is led by Prof. Mitsuo Umetsu of Tohoku University, who also serves as RevolKa's Chief Scientific Officer. This opportunity will further accelerate RevolKa's rare disease drug discovery and development efforts, previously announced on July 30th, 2024. ( core technology, aiProtein®: a robust directed protein evolution platform integrated with AI (artificial intelligence) creates exceptionally high performance proteins, going beyond natural evolution and offering advantages for therapeutic strategies. aiProtein® has generated many successful outcomes with many partner companies. About aiProtein® TechnologyRevolKa's proprietary technology, aiProtein® is an AI-assisted directed evolution platform for proteins. Naturally occurring proteins are linear polymers composed of amino acids and their derivatives, folding into a tertiary structure through internal complex atomic interactions to exhibit biological functions. Proteins have evolved their biological functional complexity over hundreds of millions of years. However, the relationship between protein sequence, structure, and function remains poorly understood to enable rational design of protein sequences for specific function. RevolKa's AI engine is trained with sequence-function relationship data, enabling statistical prediction of optimized protein sequences with desired functions. Furthermore, aiProtein® can evolve multiple properties simultaneously. This technology is a powerful and cost-effective solution for creating novel and highly functional proteins suitable for pharmaceutical and industrial applications. About RevolKa is a venture-backed biotechnology company founded in April 2021 by academic and industry experts in biotechnology and artificial intelligence. Our mission is to contribute to human well-being by creating novel proteins for therapeutics and industrial applications using our proprietary technology, aiProtein®. The name "RevolKa" is derived from the Latin word for evolution, "evolutio" and the Ainu (an indigenous Japanese people) word for raise, "reska". RevolKa's headquarters and laboratories are located in Sendai, Japan. The company's investors include D3 LLC, Tohoku University Venture Partners Co., Ltd., DEEPCORE Inc., and SBI Investment Co., Ltd. For more information, visit View source version on Contacts RevolKa IwaseEmail: info@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Korea's InnoCORE Attracts Top Global Postdocs Through U.S. Job Fairs
Korea's InnoCORE Attracts Top Global Postdocs Through U.S. Job Fairs

Yahoo

time6 hours ago

  • Yahoo

Korea's InnoCORE Attracts Top Global Postdocs Through U.S. Job Fairs

Over 100 postdoctoral researchers from top global universities were interviewed, underscoring Korea's rising global research appeal. SEOUL, South Korea, June 30, 2025 /PRNewswire/ -- Korea has launched its first large-scale initiative to attract outstanding global researchers in science and technology through InnoCORE, a new fellowship program aimed at recruiting international talent in Artificial Intelligence and Science & Technology (AI+S&T). The Ministry of Science and ICT of the Republic of Korea, in collaboration with the country's four Institutes of Science and Technology (KAIST, GIST, DGIST, and UNIST), will invest KRW 300 billion (approximately USD 225 million) over the next five years to recruit and support 400 postdoctoral researchers in the interdisciplinary field of AI+S&T. As part of its global outreach efforts, InnoCORE hosted in-person job fairs in Boston (June 18, Northeastern University), New York (June 20, NYU-KAIST Global Campus), and Silicon Valley (June 23, KIC Silicon Valley). More than 100 postdoctoral researchers conducted face-to-face interviews with Korean research group leaders at these job fairs. The job fair not only attracted participants from local institutions—such as Harvard, MIT, NYU, Columbia, UC Berkeley, and Stanford—but also from other premier universities across the United States, including Cornell University, the University of Chicago, and the University of Florida. The strong turnout of students reflects a growing interest in Korea's evolving role as a global research hub. Professor Hee-Seung Lee, Research Group leader of the AI Co-Research & Education for Innovative Drug Institute at KAIST, noted: "We had the chance to meet highly capable and motivated researchers with a strong potential to lead groundbreaking work in AI+S&T and was able to hear firsthand their enthusiasm for such a unique opportunity. Korea's strategic efforts through InnoCORE are resonating internationally. If these talented researchers enter our network, it will not only elevate Korea's global scientific standing but also strengthen our global talent pipeline in the future." Dr. Hyojun Lim, a postdoctoral fellow at MIT who participated in the job fair, commented: "For U.S.-based researchers seeking career opportunities in Korea, InnoCORE provided a truly practical and insightful platform. Direct discussions with the lead professors of the research projects gave me a clear sense of each research group's mission and future direction—far beyond what a website or brochure can convey." Building on the success of these events, the Ministry of Science and ICT of the Republic of Korea will officially commence the selection and onboarding of fellows in July. Each selected postdoctoral researcher will be offered a competitive base annual salary of KRW 90 million (~USD 66,000), with opportunities for additional research funding and compensation available through partnerships with industry and academic institutions. Fellows will also have access to advanced research infrastructure, including supercomputers, semiconductor cleanrooms, and cutting-edge biomedical facilities. The program will also implement a multi-layered mentoring system involving academic advisors, industry experts, and international researchers—designed to strengthen both independent research and multinational cooperation capabilities. InnoCORE currently operates through eight interdisciplinary research clusters. The projects are run in collaboration with Korea's top, major industry leaders (Samsung, LG, Hyundai, Naver), and global research giants such as MIT, Stanford, Harvard, Oxford, Meta, Google, and IBM Research. Research areas include large language models (LLMs), generative AI, AI-based drug discovery, advanced manufacturing, aerospace AI, clean energy, and nanotechnology for brain disease diagnostics. Mr. Chang-yoon Lee, first vice minister of Ministry of Science and ICT of the Republic of Korea stated: "The InnoCORE Global Postdoctoral Job Fair showed that Korea is emerging as an attractive destination for the world's top scientific talent. We will continue to invest in building an open, globally connected research ecosystem—one where talent from around the world can grow, collaborate, and lead globally impactful science from Korea." Press Contact 2025 InnoCORE Global Postdoctoral Job Fair Secretariat View original content to download multimedia: SOURCE KAIST Sign in to access your portfolio

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store