4 citations · 4 across the 5 of their papers we have counts for
5 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…
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…
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…
Materials Design for Hypersonics
Adam B. Peters, Dajie Zhang, Samuel Chen +6
Hypersonic vehicles must withstand extreme conditions during flights that exceed five times the speed of sound. These systems have the potential to facilitate rapid access to space…