5 papers
LLM Jaggedness Unlocks Scientific Creativity
Shray Mathur, J. Anibal Boscoboinik, Esther H. R. Tsai +1
As artificial intelligence advances, models are not improving uniformly. Instead, progress unfolds in a jagged fashion, with capabilities growing unevenly across tasks, domains, an…
A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis
Sk Miraj Ahmed, Yuewei Lin, Chuntian Cao +9
Scanning Electron Microscopy (SEM) is indispensable in modern materials science, enabling high-resolution imaging across a wide range of structural, chemical, and functional invest…
EnvTrace: Simulation-Based Semantic Evaluation of LLM Code via Execution Trace Alignment -- Demonstrated at Synchrotron Beamlines
Noah van der Vleuten, Anthony Flores, Shray Mathur +4
Evaluating large language models (LLMs) for instrument control requires methods that go beyond standard, stateless algorithmic benchmarks, since the behavior of physical systems ca…
Accelerating Discovery of Solid-State Thin-Film Metal Dealloying for 3D Nanoarchitecture Materials Design through Laser Thermal Gradient Treatment
Cheng-Chu Chung, Ruipeng Li, Gabriel M. Veith +7
Thin-film solid-state metal dealloying (thin-film SSMD) is a promising method for fabricating nanostructures with controlled morphology and efficiency, offering advantages over con…
VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities
Shray Mathur, Noah van der Vleuten, Kevin Yager +1
Scientific user facilities, such as synchrotron beamlines, are equipped with a wide array of hardware and software tools that require a codebase for human-computer-interaction. Thi…