papers
Publications (3)
cs.LG2026
Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders
Monika Choudhary, Xiaoya Chong, Runbo Jiang +25
The paper presents a convolutional variational autoencoder trained on millions of X-ray scattering images to create low‑dimensional latent representations that help explore and ana…
#x-ray scattering#variational autoencoders#latent space analysis#scientific data exploration
cs.CL2025
Structured Extraction of Process Structure Properties Relationships in Materials Science
Amit K Verma, Zhisong Zhang, Junwon Seo +4
With the advent of large language models (LLMs), the vast unstructured text within millions of academic papers is increasingly accessible for materials discovery, although signific…
cond-mat.mtrl-sci2025
Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations
Jiahui Zhang, Runbo Jiang, Kangming Li +11
The keyhole phenomenon has been widely observed in laser materials processing, including laser welding, remelting, cladding, drilling, and additive manufacturing. Keyhole-induced d…