Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Get in touch with Huichao
Contact Huichao, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck RackActions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography
Links More information: Publisher Index Page (via DOI) Download citation as: RIS | Dublin Core Suggested Citation Yin, H., Ikard, S., Rucker, D.F., Brooks, S.C., Dai, Z., Soltanian, M.R., and Carroll, K.C., 2026, Localization of spatiotemporally heterogeneous subsurface flows using autoencoder-based deep learning framework for time-lapse self-potential tomography: JGR Machine Learning and Computation, v. 3, no. 3, e2025JH001208, 18 p., https://doi.org/10.1029/2025JH001208.
The intellectual landscape of cognitive impairment in type 2 diabetes: knowledge structure, research focuses and rising trends
Abstract Background: Type 2 diabetes mellitus (T2DM) is prevalent worldwide, with cognitive dysfunction emerging as a significant complication. Despite extensive research into its pathological mechanisms and clinical management, the knowledge structure, research priorities, and developmental trends within this field remain unsystematically integrated.
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Huichao
Contact Huichao, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack