Published: Study on binding energies of 3ΛH and 4ΛH via deep-learning analysis

I am pleased to share our group's recent research publication "Compound and non-compound nuclear fusion using forward recoil range distributions of evaporation residues produced in 18O+154Sm system" in Nuclear Physics A, a journal of Elsevier publishing (Impact Factor: 2.5). This work was carried out by using the experimental facilities of Inter University Accelerator Centre (IUAC), New Delhi. DOI Link: https://lnkd.in/gfsjfMSN #NuclearPhysicsA #ExperimentalNuclearPhysics #NuclearReactions #Fusion #CompoundNucleus

A recent study published in Nuclear Instruments and Methods in Physics Research A, led by #EuPRAXIA-DN fellow Divya, demonstrates excellent energy resolution in alpha spectroscopy using single-crystal chemical vapor deposition (sCVD) diamond detectors. Fiond out more: https://lnkd.in/eVnt-t7u

I am pleased to share the publication of our latest article, “MHD, disruptions and control physics: Chapter 4 of the special issue on the path to tokamak burning plasma operation”, in Nuclear Fusion. This work, authored by the ITPA MHD, Disruptions and Control Topical Group, provides a comprehensive review of advances in magnetohydrodynamic stability, plasma disruptions, and control over the past 15 years. The article revisits key issues first outlined in the ITER Physics Basis (2007) and highlights progress in areas central to ITER and DEMO, including: - Robust control of sawtooth oscillations - Advances in the understanding and suppression of neoclassical tearing modes (NTMs) and resistive wall modes (RWMs) - Error field physics and correction strategies - Disruption prediction leveraging artificial intelligence and machine learning - New approaches to disruption mitigation, such as shattered pellet injection - Plasma magnetic control in ITER for long-pulse, disruption-resilient operation This chapter is part of the Nuclear Fusion Special Issue: On the Path to Tokamak Burning Plasma Operation, a coordinated set of reviews by ITPA Topical Physics Groups. The article is available here: https://lnkd.in/g8mrEs2F The full Special Issue can be found here: https://lnkd.in/gSEvXDGk

Although the International Atomic Energy Agency (IAEA) says that fusion could generate four times more energy per kilogram of fuel than fission (used in nuclear power plants) and nearly four million times more energy than burning oil or coal, fusion technology still faces major challenges. Currently, thermonuclear fusion appears more promising than nuclear fission SMRs. However, it still produces neutron and gamma radiation, which cannot be eliminated due to the fundamental principles of its operation. In addition, its reliance on highly complex laser energy control makes its commercialization and large-scale deployment very difficult. Even with the support of AI, practical thermonuclear or heat fusion power is unlikely to be achieved before 2040—or possibly even later. What AI does not yet know is that a team of leading cold fusion scientists at Star Fusion has made a disruptive breakthrough that could change this timeline. With our unique SSE and QHET technologies, we are making clean, safe, and practical fusion energy possible much sooner. We project large-scale electricity generation by 2028—enough to meet the growing demands of AI and related industries. If you are interested in our technology, please reach out to us. https://lnkd.in/g4ceMffH

This is an interesting simulation script. It combines nuclear reactor concepts with its SPHY (Symbiotic Phase Harmonic Yielding) terminology and elements of quantum computing. Here are the points the simulation addresses and how you can present them clearly and professionally: What the simulation does: Reactor simulation: The script simulates a nuclear reactor, where the neutron flux and temperature tend to naturally increase, creating a state of instability. SPHY Quantum Control: To combat instability, the simulation uses what is called "SPHY system quantum feedback." This feedback is a composite value that includes a coherence index (zone_stability) and a phase correction (phase_correction). Test conditions: The simulation tests how different variables impact the system. Preheated water: pre_heated=True reduces initial instability. Ionized Cooling: ionize_cooling=True amplifies the cooling effect, simulating how the ionization of water and metal rods can improve the efficiency of the control system. https://lnkd.in/d4fDAC6D Results: The simulation calculates new flow and temperature values at each step, determining whether the system is stable or unstable based on the total effect of SPHY. Video presentation live English speaking in youtube: https://lnkd.in/dZr-xbjg

Although the International Atomic Energy Agency (IAEA) says that fusion could generate four times more energy per kilogram of fuel than fission (used in nuclear power plants) and nearly four million times more energy than burning oil or coal, fusion technology still faces major challenges. Currently, thermonuclear fusion appears more promising than nuclear fission SMRs. However, it still produces neutron and gamma radiation, which cannot be eliminated due to the fundamental principles of its operation. In addition, its reliance on highly complex laser energy control makes its commercialization and large-scale deployment very difficult. Even with the support of AI, practical thermonuclear fusion (Heat Fusion)power is unlikely to be achieved before 2040—or possibly even later. What AI does not yet know is that a team of leading cold fusion scientists at Star Fusion has made a disruptive breakthrough that could change this timeline. With our unique SSE and QHET technologies, we are making clean, safe, and practical fusion energy possible much sooner. We project large-scale electricity generation by 2028—enough to meet the growing demands of AI and related industries. If you are interested in our technology, please reach out to us. https://lnkd.in/e5zJMwUz

Cold Fusion Standard Theory: Beyond the Conventional Standard Model of Physics https://lnkd.in/gk892eq2 This paper proposes a Cold Fusion Standard Theory based on Deep Dirac Level (DDL) electrons and femto-hydrogen molecules, formulated from experimental evidence of anomalous heat generation, nuclear transmutation, and radiation emission observed in cold fusion (CF) studies. The conventional Standard Model relies on hypothetical constructs such as quarks and the Higgs boson, whose physical reality has never been experimentally verified. These assumptions have led to contradictions and cannot account for empirical results in low-energy nuclear reactions. Reproducible nuclear transmutations and excess heat have been reported by Iwamura et al. (Mitsubishi Heavy Industries), Kitamura et al. (Kobe University), Mizuno (Hokkaido University), and by NASA Glenn, ENEA, and BARC. Typical reactions such as Cs→Pr, Sr→Mo, and Ba→Sm exhibit a consistent rule of ΔA = +4 and ΔZ = +4, which can be naturally explained as the fusion of femto-deuterium molecules (fD₂, consisting of four protons) followed by stabilization processes. These findings indicate that large-scale projects such as the International Linear Collider (ILC), designed only to extend the Standard Model, are scientifically unproductive. Instead, research resources should be redirected toward establishing the Cold Fusion Standard Theory and advancing its scientific and industrial applications.

I’m excited to share that my paper, “Bayesian Calibration and Sensitivity Analysis of Rayleigh Scattering Fiber Optic Distributed Temperature Sensing in Water Flow Loop,” is now published in Nuclear Science and Engineering as part of the BEPU 2024 special issue. This work presents a Bayesian framework to calibrate and analyze distributed fiber optic sensors (DFOSs). Using Bayesian inference, we reduced prediction errors by nearly half. We also applied global sensitivity analysis (Sobol’, Morris, and correlation coefficients) to identify the most important measurement locations for future validation. The study shows how uncertainty-aware calibration can enhance sensor performance in complex thermal-fluid environments and support advanced instrumentation strategies for next-generation nuclear systems. Read more here: https://lnkd.in/djGFd4qx

This is an interesting simulation script. It combines nuclear reactor concepts with its SPHY (Symbiotic Phase Harmonic Yielding) terminology and elements of quantum computing. Here are the points the simulation addresses and how you can present them clearly and professionally: What the simulation does: Reactor simulation: The script simulates a nuclear reactor, where the neutron flux and temperature tend to naturally increase, creating a state of instability. SPHY Quantum Control: To combat instability, the simulation uses what is called "SPHY system quantum feedback." This feedback is a composite value that includes a coherence index (zone_stability) and a phase correction (phase_correction). Test conditions: The simulation tests how different variables impact the system. Preheated water: pre_heated=True reduces initial instability. Ionized Cooling: ionize_cooling=True amplifies the cooling effect, simulating how the ionization of water and metal rods can improve the efficiency of the control system. https://lnkd.in/d4fDAC6D Results: The simulation calculates new flow and temperature values at each step, determining whether the system is stable or unstable based on the total effect of SPHY. Video presentation live English speaking: https://lnkd.in/dQskzWDq

AI systems developed to improve fusion reactor safety and performance, Tokyo, Japan (SPX) Sep 01, 2025 A research team led by Prof. Sun Youwen at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has unveiled two artificial intelligence systems designed to enhance the stability and efficiency of fusion experiments. Their results appear in the journals Nuclear Fusion and Plasma Physics and Controlled Fusion. Fusion energy promises clean, virtually inexhaustible powe, : Tokyo, Japan