4 papers
Preference Learning from Physics-Based Feedback: Tuning Language Models to Design BCC/B2 Superalloys
Satanu Ghosh, Collin Holgate, Neal R. Brodnik +4
We apply preference learning to the task of language model-guided design of novel structural alloys. In contrast to prior work that focuses on generating stable inorganic crystals,…
Coupled Infrared Imaging and Multiphysics Modeling to Predict Three-Dimensional Thermal Characteristics during Selective Laser Melting
Vijay Kumar, Kaitlyn M. Mullin, Hyunggon Park +4
Laser heating during additive manufacturing (AM) induces extreme and transient thermal conditions which critically influence the microstructure evolution and mechanical properties…
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets
Satanu Ghosh, Neal R. Brodnik, Carolina Frey +4
We explore the ability of GPT-4 to perform ad-hoc schema based information extraction from scientific literature. We assess specifically whether it can, with a basic prompting appr…
Resolving thermal gradients and solidification velocities during laser melting of a refractory alloy
Hyunggon Park, Kaitlyn M. Mullin, Vijay Kumar +3
Metal additive manufacturing (AM) processes, such as laser powder bed fusion (L-PBF), can yield high-value parts with unique geometries and features, substantially reducing costs a…