3 citations · 4 across the 3 of their papers we have counts for
3 papers
Fine-tuning a vision-language model for fracture-surface morphology recognition
Quanliang Liu, Jungtaek Kim, Kangwook Lee +1
Vision-language models (VLMs) have shown strong potential for scientific image understanding, but general-purpose models often lack the domain-specific visual knowledge required fo…
Beyond designer's knowledge: Generating materials design hypotheses via large language models
Quanliang Liu, Maciej P. Polak, So Yeon Kim +5
Materials design often relies on human-generated hypotheses, a process inherently limited by cognitive constraints such as knowledge gaps and limited ability to integrate and extra…
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion
Francis Ogoke, Quanliang Liu, Olabode Ajenifujah +5
Defects in laser powder bed fusion (L-PBF) parts often result from the meso-scale dynamics of the molten alloy near the laser, known as the melt pool. For instance, the melt pool c…