1 citations · 1 across the 3 of their papers we have counts for
4 papers
Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
Zihan Guan, Rituparna Datta, Mengxuan Hu +5
Large language models (LLMs) have shown promise in constructing mechanistic models from data. However, existing evaluations largely focus on simplified settings and fail to capture…
Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications using Large Language Models
Shunshun Liu, Talon R. Booth, Yangfeng Ji +2
Large language models (LLMs) have shown promise for scientific data extraction from publications, but rely on manual prompt refinement. We present an expert-grounded automatic prom…
Type-1.5 SNSPD: Interacting vortex theory of two bandgap superconducting single photon detectors
Leif Bauer, Daien He, Sathwik Bharadwaj +3
Photon detectors based on type-2 superconductors have found widespread applications from on-chip quantum computing to quantum remote sensing. Here, we develop the theory for a new…
Observation of helimagnetism in the candidate ferroelectric CrI
John A. Schneeloch, Shunshun Liu, Prasanna V. Balachandran +2
CrI is a quasi-one dimensional (1D) van der Waals (vdW) system that exhibits helimagnetism that propagates along the ribbons. This was determined from neutron time-of-flight…