Global Energy Awards

  Abstract Heat sinks having extended surface area can substantially increase the heat dissipation limit of two-phase immersion cooling compared to the critical heat flux limit of flat surfaces. However, the highly nonlinear and boiling-regime-dependent surface boundary condition makes designing an optimal two-phase immersion heat sink a challenge, and no systematic design approach currently exists. In this work, we propose a density-based topology optimization method for designing heat sinks under pool boiling conditions. Boiling on a heat sink is modeled as a conduction problem with convective boundary condition, where the heat transfer coefficient is defined as a function of superheat and spans all boiling regimes (natural convection, nucleate boiling, transition boiling, and film boiling).  The heat sink is represented as voxelized density distribution within the design domain, with the thermal conductivity modeled as a function of local density. The boiling boundary condi...

  Abstract Aqueous zinc-ion batteries show promising prospects for large-scale energy storage due to their low cost and high safety. Nevertheless, their practical application is constrained by issues such as water-induced side reactions and the growth of zinc dendrites. In this study, we design a water-free deep eutectic electrolyte (FAU) which consists of zinc trifluoromethanesulfonate, acetamide, and urea.  By eliminating the aqueous environment to suppress parasitic reactions and regulating the Zn2+ solvation structure, the reversibility and stability of the zinc anode are significantly enhanced. Moreover, this electrolyte promotes uniform and dense zinc deposition while forming a unique and stable organic-inorganic hybrid solid electrolyte interphase layer on the zinc anode surface, thereby effectively inhibiting dendrite growth and zinc corrosion. The Zn||Zn symmetric cell employing the FAU-4 electrolyte demonstrates stable cycling for over 5100 h and exhibits excellent a...

  Artificial Intelligence (AI) is set to play a transformative role in the evolution of 6G social-physical networks by seamlessly integrating digital intelligence with real-world systems. These networks combine human interactions, physical infrastructure, and cyber systems, enabling smarter decision-making and autonomous operations. AI-driven algorithms enhance network efficiency through intelligent resource allocation, predictive maintenance, and adaptive communication strategies, reducing latency and energy consumption. In 6G environments, AI supports real-time data analytics, enabling applications such as smart cities, autonomous transportation, and advanced healthcare systems. Moreover, AI contributes to sustainability by optimizing energy usage, minimizing carbon footprints, and enabling green communication technologies. By leveraging machine learning and edge intelligence, 6G social-physical networks can dynamically adapt to changing conditions, ensuring resilient, efficient,...

  Massive stars in extreme environments form in dense, high-pressure regions such as starburst galaxies or galactic centers, where intense radiation and interactions accelerate their evolution. Due to their large mass, they rapidly burn nuclear fuel and progress through multiple fusion stages before ending their lives in powerful supernova explosions. Environmental factors like metallicity, stellar winds, and nearby stellar interactions significantly influence their evolution and final fate, leading to remnants such as neutron stars or black holes. These stars play a crucial role in enriching the interstellar medium, driving galactic evolution, and producing energetic phenomena like gamma-ray bursts. #MassiveStars #StellarEvolution #ExtremeEnvironments #Supernova #BlackHoles #NeutronStars #Astrophysics #GalacticEvolution #StarFormation #CosmicFeedback Global Energy Awards Nomination link:  https://globalenergyawards.org/award-nomination/... Visit Our Website:   globalene...

A strange new quantum state appears when atoms get “frustrated” Physicists at UC Santa Barbara have uncovered a new way to manipulate unusual magnetic states by exploiting “frustration” inside a crystal’s atomic structure. The team discovered a rare system where two different kinds of frustration—magnetic and electronic bond frustration—coexist and interact. By coupling these competing effects, researchers may be able to control exotic quantum states, potentially unlocking new ways to manipulate entangled spins for future quantum technologies. Scientists discovered a rare material where two competing types of atomic frustration interact, creating unusual magnetic states. Controlling this delicate balance could open new ways to manipulate quantum states important for future quantum technologies. Credit: AI/ScienceDaily.com In the laboratory of UC Santa Barbara materials scientist Stephen Wilson, researchers are investigating the physics behind unusual states of matter while designing ma...

 Scientists unlock a powerful new way to turn sunlight into fuel Scientists have developed a powerful new computational method that could accelerate the search for next-generation materials capable of turning sunlight into useful chemical energy. The work focuses on polyheptazine imides, a promising class of carbon nitride materials that absorb visible light and can drive reactions such as hydrogen production, carbon dioxide conversion, and hydrogen peroxide synthesis. By analyzing how 53 different metal ions influence the structure and electronic behavior of these materials, researchers created a framework that predicts which combinations will perform best. Three layers of a silver ion-doped polyheptazine imide polymeric network. In this example, the metal ions are located between the layers, inducing lattice expansion and structural distortion. However, the polymeric backbone remains intact. Only the pore geometry changes.  Photocatalysis offers a promising way to convert th...