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.

438 papers reviewed by authors · 11–20 / 438

Hybrid Neural World Models

This paper introduces hybrid neural world models, a single-network framework that predicts physical dynamics with significant speedups over classical solvers while implicitly generating an error map to detect sharp discontinuities like shocks and contacts, enabling a fallback mechanism that substantially reduces prediction errors without requiring additional calibration or governing-equation knowledge.

Pranav Lakshmanan, Paras Chopra2026-05-28✓ Author reviewed 🔬 physics

GASTRO library II: Exploring Chemical Bimodalities in Disk Galaxies with GSE-like Mergers and Massive Star-forming Clumps

Using GASTRO library simulations, this study demonstrates that early high-density star-forming clumps or retrograde mergers can suppress star formation to create the Milky Way's observed α\alpha-rich and α\alpha-poor chemical bimodality, whereas prograde mergers fail to do so, thereby supporting clumpy disk galaxies at z12z\approx 1-2 as likely progenitors of our Galaxy.

João A. S. Amarante, Chervin F. P. Laporte, Victor P. Debattista, Leandro Beraldo e Silva, Guilherme Limberg, Hélio D. Perottoni, Zhao-Yu Li, Lais Borbolato, Karl Fiteni, Chengye Cao, Nathan Deg, Tigr (…)2026-05-28✓ Author reviewed 🔭 astro-ph

History-aware adaptive reduced-order models via incremental singular value decomposition

This paper proposes a history-aware adaptive reduced-order modeling framework using incremental singular value decomposition (iSVD) that dynamically updates basis functions via occasional full-order corrections, demonstrating superior predictive accuracy and computational efficiency over existing methods for complex nonlinear problems like the Burgers equation, Sod shock tube, and rotating detonation engines.

Amirpasha Hedayat, Ali Mohaghegh, Laura Balzano, Cheng Huang, Karthik Duraisamy2026-05-28✓ Author reviewed 🔬 physics

Small-Area Precipitation Forecasting and Drought--Flood Early Warning with Reverse-Martingale Regularized Recurrent Networks

This paper introduces a reverse-martingale regularized recurrent neural network (RMRNN) that integrates a backward-coherence penalty and a Shiryaev–Roberts detector to simultaneously improve probabilistic precipitation forecasts and provide significantly earlier, more reliable drought and flood warnings across diverse global regions compared to existing baselines.

Foo Hui-Mean, Yuan-chin Ivan Chang2026-05-27✓ Author reviewed 📊 stat

Bimodality in Rotational Modulation of Planet-Hosting Stars

Analysis of Kepler photometry reveals that stars hosting confirmed exoplanets exhibit systematically higher rotational modulation dispersion and a unique bimodal distribution in their magnetic activity coherence compared to non-planet-hosting stars, suggesting that planetary systems may influence the temporal organization of stellar magnetic activity and dynamos.

Alexandre Araújo, Adriana Valio2026-05-27✓ Author reviewed 🔭 astro-ph