From the 2 of 17 linked papers with an AI index.
17 papers
AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology II: Project Planning and Proposal Evaluation
Jia Liu, Veena Krishnaraj, Kateryna Vovk +18
The paper evaluates the ability of current large language models to generate one‑page research project plans in physics, astrophysics, and cosmology, and compares how human reviewe…
AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review
Anamaria Hell, Kateryna Vovk, Veena Krishnaraj +18
We investigate how well large language models (LLMs) can assist with literature reviews for scientific research. We perform a controlled study of eight expert-conceived research pr…
Accelerating Universe from Constraints
Anamaria Hell, Misao Sasaki
The paper proposes a framework of constrained scalar fields with non‑minimal coupling that can drive cosmic acceleration independently of the cosmological constant, and analyzes it…
Wick-connected theories and Lorentz violation
Niklas Götzberger, Anamaria Hell
We consider double Wick rotation in field theories, which analytically continues the time coordinate, and then reinterprets one of the spatial directions as the new Lorentzian time…
LLMs with in-context learning for Algorithmic Theoretical Physics
Anamaria Hell, Leander Thiele
There is an increasing number of algorithmic computations in theoretical physics. These, while conceptually simple, can nevertheless be time-consuming and contain subtleties that s…
How to deal with conformal and pure scale-invariant theories of gravity in d dimensions?
Anamaria Hell, Dieter Lust
Conformally-invariant and pure, scale-invariant theories of gravity are particularly interesting in four or higher dimensions. Yet, in contrast to their four-dimensional counterpar…