Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics. [PDF]
Nie W, Yu Y, Wang X, Wang R, Li SC.
europepmc +1 more source
Latent motives guide structure learning during adaptive social choice. [PDF]
van Baar JM +3 more
europepmc +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Molecular property prediction based on graph structure learning. [PDF]
Zhao B, Xu W, Guan J, Zhou S.
europepmc +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
A novel constraint-based structure learning algorithm using marginal causal prior knowledge. [PDF]
Yu Y, Hou L, Liu X, Wu S, Li H, Xue F.
europepmc +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Human Motion Enhancement and Restoration via Unconstrained Human Structure Learning. [PDF]
He T, Yang T, Konomi S.
europepmc +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
A brain structure learning-guided multi-view graph representation learning for brain network analysis. [PDF]
Wang T +5 more
europepmc +1 more source

