Researchers at General Atomics have made a significant breakthrough in nuclear fusion by achieving plasma density 20% higher than the Greenwald limit while maintaining superior confinement. This advancement addresses major challenges in fusion reactor design, bringing us closer to the development of commercially viable fusion power.
SHREC is a physics-based unsupervised learning framework that reconstructs unobserved causal drivers from complex time series data. This new approach addresses the limitations of contemporary techniques, such as noise susceptibility and high computational cost, by using recurrence structures and topological embeddings. The successful application of SHREC on diverse datasets highlights its wide applicability and reliability in fields like biology, physics, and engineering, improving the accuracy of causal driver reconstruction.
Sorkin and colleagues have derived an equivalent of the second law of thermodynamics for living systems, which establishes a relation between such a cell’s active uptake of energy and its random-looking path in terms of entropy production.
Articles discussing the Standard Model of particle physics, including the basic particles and forces, details about the Higgs field, and explanations of key features of the Standard Model.
A recent study proposes that the universe functions as a vast quantum gravity computer, processing information at the Planck scale at an incredible rate, potentially influencing how physicists view cosmic interactions and energy conservation.
Researchers at the University of Colorado Boulder have developed an AI tool that transforms static textbook diagrams into interactive 3D simulations.
Physicists and computer scientists are using stochastic thermodynamics to understand the energy costs of computation, with implications for designing more energy-efficient devices.
A theory has been developed that characterizes how rattling is related to the amount of time that a system spends in a state, explaining self-organization in nonequilibrium systems such as bacterial colonies, protein complexes, and hybrid materials.
Researchers have developed a new mathematical formalism to visualize how electromagnetic waves collect information from objects they interact with as they travel. This property is widely exploited in various applications that rely on wave deflection, scattering, or reflection.
Physicist Sara Imari Walker is using principles of physics to redefine the concept of life. She introduces Assembly Theory, which measures molecular complexity to distinguish living from non-living systems. This approach could help detect unfamiliar life forms on other planets and better understand life on Earth.
