Speeding Up RISC-V with Open-Source Storage
A new open-source SD host controller implementation for RISC-V SoCs delivers significant performance gains and reduced silicon footprint.
Science
Unlocking the Kaon’s Inner World
![The study presents three-dimensional representations of the twist-2 transverse momentum dependent parton distribution function [latex]f_1(x,k_\perp)[/latex] for the kaon, specifically examining contributions from strange quarks, up/down quarks, and gluons-results obtained through averaging calculations utilizing maximum basis sizes of 12, 14, and 16, with a fixed value of K=15, to map the distribution within the kaon’s internal structure.](https://arxiv.org/html/2603.11599v1/x3.png)
New calculations reveal the transverse structure of the kaon, offering insights into the distribution of its constituent particles.
Taming Matrix Exponentials for Smoother Simulations
![For a given time constant [latex]\tau = \bar{h}[/latex], each tested matrix exhibited errors within acceptable tolerances across all methods, despite occasional overestimations, demonstrating a robustness in performance despite inherent imperfections.](https://arxiv.org/html/2603.11871v1/x1.png)
A new framework improves the accuracy and efficiency of computing matrix exponentials-critical for modeling complex physical phenomena like advection-diffusion-by leveraging a transformed matrix’s numerical range.
Beyond the Basics: Refining Atomic Calculations with High-Order Waves
![Refinements to calculations of scandium’s binding energies - specifically for the ground state multiplet [latex]D_{gs}^{2}[/latex] and the multiplets [latex]D_2^{2}D[/latex] and [latex]D_o^4{}^{4}D^{o}[/latex] - utilize corrections derived from both S and D excitations and are fitted with functions of the form [latex]A/L^q[/latex], demonstrating the nuanced precision required when probing the fundamental properties of matter.](https://arxiv.org/html/2603.11985v1/high_pw_plot_mult.jpg)
New research demonstrates the critical role of high partial waves in accurately modeling the electronic structure of polyvalent atoms like scandium.
Tying Code to Silicon: A New Approach to Embedded Security
Researchers have developed a method to securely bind embedded software to specific hardware, protecting intellectual property and ensuring functionality only on authorized devices.
Predicting the Unknown: Smarter Uncertainty Estimates for Physics-Based AI
A new approach focuses uncertainty quantification in neural operator models on key structural components, improving the accuracy and efficiency of predictions for complex physical systems.
The Strange Metal Mystery: Could Quantum Fluctuations Explain Linear Resistivity?
![As a system approaches an electronic quantum critical point, phonon softening and renormalization of the long-wavelength dispersion increase the density of low-energy phonon states, with the thermally excited phonon phase-space volume scaling as [latex]T^{d/z_p}[/latex], where [latex]d[/latex] represents spatial dimension and [latex]z_p[/latex] is the phonon dynamical exponent-a larger [latex]z_p[/latex] indicating a greater low-energy phonon phase space and, consequently, increased scattering potential, particularly when [latex]z_p > d[/latex].](https://arxiv.org/html/2603.11176v1/x1.png)
New research explores whether the softening of atomic vibrations driven by electronic quantum criticality can account for the unusual linear temperature dependence observed in certain metallic materials.
Shaping Nuclear Decay: How Carbon Isotopes Reveal the Power of Deformation
![The distributions of B(GT(-)) transition strengths in [latex]^{16}C[/latex] nuclei were analyzed using the SkP, SLy4, and SGII parameterizations, demonstrating the sensitivity of these spectroscopic properties to the chosen nuclear force model.](https://arxiv.org/html/2603.11429v1/x15.png)
A new study delves into the subtle interplay of shape and structure within carbon isotopes to better understand the forces governing nuclear decay.
Guiding AI Code: Securing Generations with Internal Logic
Researchers are demonstrating a way to steer large language models towards creating more secure code by directly influencing their internal thought processes.
Context is King: Smarter Caching for Long-Form AI
A new approach to managing memory in large language models prioritizes the position of data, not just the data itself, enabling more efficient processing of extended text.