Latest Articles for Energy Production

Recent findings deepen our knowledge of complex nuclear behaviors.

Mitochondria arrange themselves to optimize ATP supply in nerve cells.

Astronomers study NGC 3100 to understand galaxy formation and interactions.

New machine learning methods improve EOS predictions in warm dense matter.

Exploring the potential of gravitational machines to generate energy from massive celestial bodies.

Exploring the principles and efficiency of quantum Otto heat engines.

Research on solvents boosts hydrocarbon extraction from B. braunii for cleaner fuels.

A breakthrough model improves understanding of fluid interactions in deformable porous media.

Researchers investigate plasma dynamics during ablation using pulsed-power-driven systems.

Improving BIT1's performance can enhance plasma research and energy technologies.

XCC aims to efficiently produce and study Higgs bosons using advanced technology.

This article discusses machine learning approaches to predict hydrogen combustion reactions.

Using machine learning to improve nuclear fusion predictions through better parameter optimization.

A study on improving regression tasks using hybrid methods.

This article examines fast ion transport in quasisymmetric configurations under Alfvénic perturbations.

Machine learning enhances nuclear modeling, providing insights into atomic structure and behavior.

Research reveals how SPFH proteins affect E. coli growth in high-oxygen conditions.

Research uncovers how magnetic fields form during neutron star mergers.

Advancements in RF fields enhance particle retention for fusion energy.

This study evaluates machine learning methods for predicting harmful emissions from gas turbines.

New material promises enhanced performance for sensitive mechanical devices.

Research reveals the structure and function of proteins in algae's energy production.

Researchers use GNNs to enhance fluid flow simulation efficiency and accuracy.

A look at elastic scattering and fusion processes in nuclear physics.

Neutron-rich nuclei play a key role in understanding symmetry energy and nuclear stability.

Research uncovers key insights into helicon waves and their potential applications.

Research into prechambers aims to improve gas engine efficiency and reduce emissions.

A study of turbulence driven by instabilities in magnetized environments.

A new model combines classical and quantum techniques to enhance steam flow predictions.

A new method improves global sensitivity analysis using fewer data samples.

Explore how reactive transport modeling aids in environmental science and energy extraction.

A look into the stages and impacts of nuclear fission.

Discover the role of mitochondria in energy production and cellular health.

Recent research sheds light on the complex behavior of fission fragment spins.

New pulse shapes enhance ion heating for better energy output in fusion reactions.

This article explains the impact of wake effects on wind turbine efficiency.

Investigating high-speed plasma collisions and their implications for energy generation.

Magnetic nulls play a key role in magnetic fields and energy flow.

This article examines how deep learning can enhance fairness in electricity pricing.

Research reveals higher dissociation barriers on copper, challenging previous studies.