A few of the ideas, topics, and commonplaces that have been gaining steam on arXiv during the last few months (yes, I do a lot of filtering to keep away most of the genAI stuff; explainer).
1. IceTop: The surface array of the IceCube neutrino observatory,/a>. If you ever thought you have a hard time capturing the data you need you can always look at neutrino astronomy to feel better (unless you're working on dark matter detection).
Some recent articles:
- Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks
- Investigation of Electromagnetic and Muonic Air-Shower Components using IceTop Simulations
- Investigating Energy-Dependent Anisotropy in Cosmic Rays with IceTop Surface Array
- The IceCube Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC2025)
- Advancements in the IceAct Energy Spectrum Analysis
2. Habitable Worlds Observatory: A proposed NASA next-generation space telescope. It's designed to try and catch some signs of life in close enough exoplanets, but it'd give us incredible new data on everything from stellar astrophysics to cosmology.
Some recent articles:
- Polarization aberration modeling of internal occulters for coronagraphs
- Identifying Habitable Exoplanets with Radio Telescopes on the Lunar Farside
- Evolution of JWST Contingency Payload Operations for Mitigating NIRSpec Micro-shutter Array Electrical Shorts
- Development of Space Qualified Signal Processing Readout Electronics for HabWorlds and Origins Space Telescope Detector and Arrays
- A New Approach to Compiling Exoatmospheric Target Lists And Quantifying the Ground-Based Resources Needed to Vet Them
3. Phase-field models: TIL: A phase-field model is a mathematical model for solving interfacial problems. It has mainly been applied to solidification dynamics, but it has also been applied to other situations such as viscous fingering, fracture mechanics, hydrogen embrittlement, and vesicle dynamics. Whenever somebody tells you that we are close to "solving physics" or anything like that, remember that when it comes to most phenomena at most scales what we have is increasingly sophisticated and capable computational kludges. Computational physics is doing some amazing things, but we are far from being able to predict or understand in detail what's going on in even relatively mundane events.
Some recent articles:
- Intrinsic Incompatibility: Why Static Droplets Cannot Exist in Cahn-Hilliard-Navier-Stokes Systems
- Mass diffusion and bending in dynamic wetting by phase-field and sharp interface models
- Deep Learning-Driven Prediction of Microstructure Evolution via Latent Space Interpolation
- Phase-field modelling of cohesive fracture. Part III: From mathematical results to engineering application
- A robust and stable phase field method for structural topology optimization