Simulations have revealed the strongest accelerations ever produced on earth, opening a new dimension in QCD research. The peak proper acceleration reaches several hundred MeV at both low and high collision energies, depending only weakly on the collision's head-on nature.
BL18U1 supports the determination of numerous high-quality crystal structures, with most structures in the 1.5–2.5 Å range. The beamline has consistently delivered excellent results in lysozyme experiments and demonstrated long-wavelength anomalous diffraction capability.
The Huizhou Hadron Spectrometer aims to transform light hadron physics with its ultra-high event rate capability of 1–100 MHz. The spectrometer will accumulate large samples of η mesons, enabling searches for dark photons and dark Higgs bosons.
A deep neural network model has achieved global precision in predicting nuclear charge density distributions, surpassing traditional methods by over 50% accuracy. The model's innovative approach combines physical mechanisms with artificial intelligence to provide a unified description of charge density and charge radius.
A modern code for HTGR thermal-hydraulic design and accident analysis has been developed to improve reactor safety. DAYU3D enables 3D neutron kinetics simulations and advanced radiation heat transfer calculations, significantly enhancing computational capability.
JUNO unveils an immersive VR-based visualization framework for complex detector geometries and event information, transcending traditional methods. The Unity-powered platform enables precise control and interaction within a three-dimensional space, facilitating comprehensive inspection of detector structures and physics events.
A novel technical approach employs high-energy electrons to directly irradiate a flowing molten salt target containing natural uranium, generating 99Mo primarily through the photofission reaction of 238U. This method mitigates nuclear proliferation risks and offers substantial advantages in terms of material security.
Researchers introduced transfer learning into muon tomography to address data limitations and improve material identification. The approach achieved high prediction accuracy, especially when combined with physics-guided sampling.
Research investigates the influence of strong laser fields on nuclear decay lifetimes, altering nuclear structure and properties. This study provides valuable insights into laser-nucleus interactions and holds promise for applications in the nuclear energy sector.
The study explores the dissociation of heavy quarkonium in the QGP medium using a Bayesian holographic QCD model, revealing its deconfinement mechanism. Key findings include the influence of temperature and chemical potential on thermodynamic properties and dissociation behavior.
A systematic nuclear data evaluation of the five-nucleon 5^He system was performed using the Generalized Reduced R-matrix framework. The study provides reliable cross-sections with improved uncertainties, covering energy ranges up to 46 MeV for neutron-induced reactions and 30 MeV for deuteron-induced reactions.
Researchers measured energy correlations between two 252Cf prompt fission neutrons, finding a positive correlation at 180° and a negative correlation at 90°. These findings are crucial for developing and verifying fission physics theories, and should be considered in neutron coincidence and multiplication measurement techniques.
A novel radiation therapy QA method has been developed by combining Monte Carlo simulation with deep learning to generate patient-specific dose verification. This integrated technology accelerates quality assurance and paves the way for efficient online adaptive radiation therapy.
The Muonium-to-Antimuonium Conversion Experiment (MACE) aims to detect the rare conversion of muonium into antimuonium, a process that could reveal new physics. The experiment seeks to improve upon the last experimental limit by more than two orders of magnitude and target a conversion probability as low as 10^-13.
Theoretical study reveals that low-frequency lasers significantly enhance fusion efficiency, increasing tunneling probabilities and bridging the gap between low-temperature and high-temperature conditions. The study provides a unified framework for analyzing laser-assisted fusion across different laser frequencies and intensities.
Researchers redesigned a superconducting solenoid to significantly reduce spherical aberration and improve electron beam emittance. The new design achieved a 47% reduction in transverse emittance under high-intensity beam conditions.
A new bipolar cusp-like pulse-shaping algorithm has been proposed to reduce pile-up events and improve energy spectrum accuracy. The algorithm achieves real-time processing of millions of signals per second and demonstrates high precision in neutron counting.
Researchers developed a Bayesian neural network framework to predict thorium-232 fission yields, addressing sparse data gaps and incorporating physical constraints. The approach demonstrates strong agreement with experimental measurements and offers a systematic method for nuclear data evaluation with quantified uncertainties.
The CHSN01 jacket material has achieved an average yield strength of 1560 MPa at 4.2 K, setting a new benchmark in cryogenic steel properties. This breakthrough demonstrates exceptional mechanical properties, non-magnetic nature, and high-strength performance under extreme conditions.
Researchers have discovered a linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum molten salt reactors. This finding has significant implications for criticality calculations, fuel loading prediction, and reactivity measurement.
HALIMA, a hybrid array for lifetime measurement of neutron-rich nuclei at IMP, enables precise sub-nanosecond measurements using the four-fold FF/β-Ge-LaBr <sub>3 </sub>(Ce)-LaBr <sub>3 </sub>(Ce) coincidence technique. The system reduces Compton continuums and enhances selectivity via fission fragments implantation.
Researchers performed the first ab initio calculation of the hexacontatetrapole E6 transition in 53Fe, revealing unique high-multipole gamma decay mechanism using bare nucleon charges. The study successfully reproduces experimental excitation spectrum and provides reliable predictions for electromagnetic transitions.
Researchers propose a novel strategy to increase production of exotic nuclei near the neutron drip line through multi-step fragmentation of high-energy beams in thick targets. This approach effectively enhances yields of neutron-rich fragments, overcoming limitations imposed by low cross sections.
Researchers from Shanghai Jiao Tong University proposed a method for neutron spectrum regulation to enhance the irradiation production efficiency of transuranium isotopes. The new method achieves efficient and precise neutron spectrum optimization, maximizing the production of transuranic isotopes.
Researchers optimized Stirling cycle analysis to capture real-world behavior, accounting for energy dissipation factors and improving engine efficiency. The study validated the model against experimental data from established engines, providing critical reference support for compact energy systems.
The proposed scheme utilizes periodic structured light and engineered electron beams to achieve coherent inverse Compton scattering, resulting in significantly higher-intensity scattered photon beams. This technology has the potential to dramatically enhance beam intensity in the EUV and soft X-ray range.
Researchers propose using argon-⁴⁰Ar as a cost-effective alternative to ⁴⁸Ca for synthesizing superheavy elements. The new method achieves comparable evaporation residue cross sections and requires significantly less beam energy.
Researchers in China designed and developed a high-performance double-spoke superconducting cavity with improved electromagnetic and mechanical optimizations. The cryomodule employs carbon fiber tie rods to reduce heat leakage and enhance manufacturability. An optimized cryogenic cooling protocol was also developed to maximize Q-value ...
A recent theoretical study maps several isotopes' potential energy surfaces, uncovering a range of ground-state and isomeric shapes that depend sensitively on nuclear pairing interactions. The research reveals rare prosperous shape coexistence in a single nucleus, challenging traditional nuclear structure models.
A novel observation of enhanced neutron-rich particle emission from out-of-fission-plane has been made in Fermi energy heavy ion reactions. This study uses advanced detection system CSHINE to measure charged particles and fission fragments, providing a vivid view of isospin migration dynamics.
The research team successfully designed and developed a high-performance double-spoke superconducting cavity with optimized electromagnetic and mechanical features. The cryomodule employs carbon fiber tie rods to reduce heat leakage and allows for positional adjustment of the cavity.
Researchers have made the most sensitive direct measurement yet of the 12C(12C,a0)23Na reaction down to an excitation energy of 2.22 MeV using a HOPG target and intense carbon beam. The results represent the highest sensitivity achieved for this channel, with a thick-target yield on the order of 10−17 per incident carbon ion.
Researchers plan to build a high-energy η meson factory in China to study rare decay channels and explore portal particles bridging the Standard Model and hidden sector. The facility aims to probe new mechanisms of CP violation and precision test strong interaction theory.
The study compares X-ray spectra from different excitation sources, including electrons and photons, to analyze the spectral differences in copper and tungsten. The results show that the intensities of certain lines remain constant across excitation methods, providing insight for interpreting spectral data.
Researchers developed a whole system uncertainty model and an Intelligent optimized power control system for space nuclear reactors, achieving faster response, higher control accuracy, and stronger adaptability. The study clarifies the uncertainty coupling mechanism of neutronics parameters, thermal hydraulic parameters, and control sy...
A new solar X-ray detector on board the MSS-1B satellite achieves high accuracy in detecting spectral characteristics of X-ray solar flares. The instrument features a wide energy range, high count rate, and excellent spectral resolution.
Researchers have discovered how to tune electromagnetic pulse intensity by adjusting laser energy and gas jet pressure, enabling controlled EMP applications. The study identified four primary sources of EMPs and found a correlation between EMP intensity and electron acceleration.
Researchers at SLEGS have made high-precision measurements of the 27Al(γ,n) cross section, resolving existing data discrepancies and providing more accurate nuclear reaction models. The study's innovative detector design and laser Compton scattering beams enabled direct comparisons with global datasets.
Researchers employed Bayesian neural networks to fit photonuclear cross-sections with remarkable reliability, outperforming traditional methods like TENDL-2021. The approach demonstrated superior accuracy in describing low-energy thresholds and high-energy tails, particularly for sparse or biased data.
Researchers develop ultra-intense neutron generation through petawatt-class lasers, achieving densities exceeding 1025 cm-3. This breakthrough enables high-yield fusion reactions, revolutionizing fields like astrophysics, materials science, and neutron imaging.
Heavy nuclei at the neutron drip line exhibit weak binding due to coupling between nucleus-bound states and continuum spectrum. Researchers find that isospin asymmetry saturation affects Coulomb energy and symmetry energy, while deformation energy resists augmented proton charge. They also discover a correlation between magic numbers a...
A novel model predicts critical energy barriers governing heavy-ion fusion reactions with high accuracy, enabling the synthesis of superheavy nuclei and improving nuclear physics experiments. The model's effective nucleus-nucleus potential combines Skyrme energy density functional with reaction Q-values.
A research team from the University of South China has developed a novel algorithm to optimize radiation-shielding design in nuclear reactors. The algorithm, based on a reference-point-selection strategy, efficiently solves many-objective optimization problems and provides optimized shielding solutions for new types of reactors.
Researchers developed an advanced detector system combining silicon and germanium detectors for high-efficiency charged-particle decay studies. The system achieved precise tracking of decay processes and efficient discrimination between particles, showcasing its potential for studying exotic nuclear structures.
Researchers introduced an innovative ML model for classifying faults in SRF cavities, utilizing historical data and expert insights to enhance operational stability. The system achieved high accuracy and efficiency, facilitating long-term trend analysis and proactive maintenance strategies.
The Taishan Antineutrino Observatory's unique plastic scintillator module design boasts exceptional performance in muon identification efficiency, surpassing 99.67% even at high thresholds. This scalable solution establishes a transferable technique for next-generation neutrino detectors requiring muon identification efficiency >99.5% ...
Researchers developed a coupled system model for liquid-fueled molten salt reactors, incorporating xenon and void transport. The validated model reveals how initiating events affect reactor safety and offers insights for future reactor designs.
Researchers developed a new type of plastic scintillator that offers improved optical clarity, mechanical strength, and detection accuracy. This advancement has the potential to create next-generation radiation detectors that are safer, stronger, and more cost-effective.
Researchers have introduced Tune-IMS, a technique that improves the precision of isochronous mass spectrometry for measuring short-lived atomic nuclei. The method has been successfully tested on several nuclides and has shown higher precision than previous IMS methods.
Researchers have developed Nucleus++, a new tool for faster and more transparent nuclear data analysis. The software integrates nuclear mass data from the AME and nuclear physics properties from NUBASE, providing enhanced insights for scientists worldwide.