Chromosome Numbers in Compositae VII: Astereae III [PDF]
Otto T. Solbrig+3 more
openalex +1 more source
Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh+3 more
wiley +1 more source
The Role of Plant Evolutionary History in Shaping the Variation in Specific Leaf Area Across China. [PDF]
Si M+5 more
europepmc +1 more source
Cytological Studies in Subfamily Carduoideae (Compositae) of Japan VIII
Hisao ARANO
openalex +2 more sources
Deformation Behavior of La2O3‐Doped Copper during Equal Channel Angular Pressing
By additions of strengthening elements and/or structure optimization, the mechanical properties of copper can be increased while keeping favorable electric conductivity. By combining addition of La2O3 and processing by equal channel angular pressing, substructure development is achieved, leading to increase in microhardness to more than double the ...
Lenka Kunčická+2 more
wiley +1 more source
A Retrospective Study of Pediatric Allergic Contact Dermatitis from 2017-2022. [PDF]
Pixley JN+8 more
europepmc +1 more source
Phylogenetic implications and characterization of the chloroplast genome of Atractylodes macrocephala (Compositae), an herb species to China. [PDF]
Zhu B, Cao T, Lang Y, Fei J.
europepmc +1 more source
A numerical study of the variation in the New Zealand erechtites arguta-scaberula complex (Senecioneae-Compositae) [PDF]
D. G. Drury, J. M. Randal
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source