✓ Reviewed

Author-Reviewed Papers

Papers where the original authors have engaged with our plain-language explanation.

For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

984 papers reviewed by authors · 771–780 / 984

🔭 astrophysics

Non-thermal particle acceleration in multi-species kinetic plasmas: universal power-law distribution functions and temperature inversion in the solar corona

This article proposes a self-consistent quasilinear theory showing that non-thermal power-law distributions and the temperature inversion of the solar corona are interrelated phenomena arising from electromagnetically driven particle acceleration and Debye shielding, which naturally produce universal high-energy tails in kinetic multi-component plasmas as well as heating driven by velocity filtering.

Uddipan Banik, Amitava Bhattacharjee2026-05-07✓ Author reviewed ⓘ
🤖 AI

Defining Operational Conditions for Safety-Critical AI-Based Systems from Data

This paper proposes a novel, automated Safety-by-Design method that uses a multi-dimensional kernel-based representation to derive the Operational Design Domain (ODD) from collected data, thereby addressing certification challenges for safety-critical AI systems as validated by Monte Carlo simulations and a real-world aviation collision-avoidance use case.

Johann Maximilian Christensen, Elena Hoemann, Frank Köster, Sven Hallerbach2026-05-07✓ Author reviewed ⓘ
🔢 mathematics

On the Stability of Discrete Reaction-Diffusion System of Networked Dynamical Systems

This paper establishes a simple sufficient condition for the local asymptotic stability of spatially discrete, continuous-time reaction-diffusion systems with heterogeneous node dynamics, demonstrating that stability can be guaranteed by the diagonal dominance of the spatially averaged Jacobian and a lower bound on the network's algebraic connectivity, even in the absence of dispersal losses and without requiring identical patch dynamics.

Dinesh Kumar2026-05-07✓ Author reviewed ⓘ
⚛️ phenomenology

Searching for UFOs from the early universe: direct detection prospects for relativistically decoupling dark matter

This paper demonstrates that ultrarelativistically frozen-out (UFO) dark matter candidates, particularly those mediated by a Z′Z' portal, represent a viable and detectable alternative to traditional WIMPs, with current experiments like LZ and XENONnT already constraining their parameter space and future detectors such as SuperCDMS SNOLAB poised to explore significant regions in the 0.5–10 GeV mass range.

Stephen E. Henrich, Yann Mambrini, Keith A. Olive2026-05-06✓ Author reviewed ⓘ
📊 statistics

Variable Domain Multivariate Functional Principal Component Analysis

This paper proposes a novel Multivariate Functional Principal Component Analysis (MFPCA) method that accommodates variable observation domains by unifying univariate variable-domain scores and smoothing their covariance, demonstrating superior performance over existing approaches through simulations and a real-world application to COVID-19 patient monitoring data.

Pavel Hernández Amaro, María Durbán, M. Carmen Aguilera-Morillo, José María Quintana, Irantzu Barrio, Sonja Greven2026-05-06✓ Author reviewed ⓘ
🔭 astrophysics

PALEOS: Multiphase Equations of State and Mass-Radius Relations for Exoplanet Interiors

This paper introduces PALEOS, an open-source toolkit that unifies equations of state for iron, silicates, and water across 17 phases to generate self-consistent mass-radius relations, demonstrating that thermal effects and phase transitions (such as magma oceans) significantly alter planetary radii and internal dynamics, thereby resolving degeneracies in interpreting exoplanet observations.

Mara Attia, Tim Lichtenberg, Ema Jungová, Mariana Sastre2026-05-06✓ Author reviewed ⓘ
💻 computer science

Human-in-the-Loop Uncertainty Analysis in Self-Adaptive Robots Using LLMs

This paper introduces RoboULM, a human-in-the-loop methodology and tool leveraging large language models to help practitioners systematically identify, analyze, and mitigate uncertainties in self-adaptive robots during the design phase, as validated by positive feedback from industrial practitioners across four use cases.

Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri, Shaukat Ali, Peter Gorm Larsen2026-05-06✓ Author reviewed ⓘ