From the 1 of 6 linked papers with an AI index.
6 papers
From Prompt to Embodied Simulation: Using Generative AI to Create AR Physics Learning Tools
Ofek Levy, Joshua Glazer, Noah D. Finkelstein +1
Spread your thumb and index finger in the air, and a virtual lamp in the room changes color. Computer simulations have a long and well-documented record of supporting physics learn…
Macroscopic Spin-Orbit Interaction through Strong-Field Pumping of Inhomogeneously Aligned Molecular Ensemble
Uriel Zanzuri, Sharly Fleischer, Tamar Seideman +3
The paper investigates how a helical bi‑chromatic strong‑field pump interacting with a radially aligned molecular ensemble generates high‑harmonic radiation that carries orbital an…
Discovery of 30 Repeating Fast Radio Burst Sources and Uniform Population Statistics of 80 Repeating Sources from CHIME/FRB
Amanda M. Cook, Kaitlyn Shin, Ziggy Pleunis +44
We present 30 newly discovered repeating fast radio burst (FRB) sources from the second catalog of bursts detected by the FRB backend on the Canadian Hydrogen Intensity Mapping Exp…
From Search to GenAI Queries: Global Trends in Physics Information-Seeking Across Topics and Regions
Yossi Ben-Zion, Omer Michaeli, Noah D. Finkelstein
The emergence of generative artificial intelligence (GenAI) marks a potential inflection point in the way academic information is accessed, raising fundamental questions about the…
Composition/structure directed search for new chalcogenide compounds
Alon Hever, Ohad Levy, Stefano Curtarolo +1
This work presents a simple scheme for finding new crystalline compounds by adapting structure types from neighbor atoms compounds. The approach is demonstrated for the selenide an…
Black-Box Uncertainty Estimation for Deep Learning Models in Atomistic Simulations
Idan Fonea, Amir Peles, Sivan Niv +2
We analyze an ensemble-based approach for uncertainty quantification (UQ) in atomistic neural networks. This method generates an epistemic uncertainty signal without requiring chan…