Results 161 to 170 of about 583,807 (299)

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Molecular and Genetic Regulation of Crop Root System Architecture in Drought Resilience. [PDF]

Plants (Basel)
Wang Y, Xu K, Chen S, Hang S, Li T, Cheng H, Luo L, Chen L.   +7 more
europepmc   +1 more source

Modeling the effects of strigolactone levels on maize root system architecture. [PDF]

Front Plant Sci, 2023
Lucido A, Andrade F, Basallo O, Eleiwa A, Marin-Sanguino A, Vilaprinyo E, Sorribas A, Alves R.   +7 more
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
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, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Root system architecture and drought adaptation: emerging tools and genetic insights. [PDF]

Front Plant Sci
Kaur V, Yadav SK, Yadav B, Madaan S, Kheralia M, Chinnusamy V.   +5 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
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

Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.]. [PDF]

Theor Appl Genet
Gaiwal KB, Belliappa SH, Bomma N, Naik S, Sandhyakishore N, Rangari SK, Kalyan A, Mehtre SP, Vemula A, Bhosale R, Pandey MK, Gandhi H, Mayes S, Gangashetty PI.   +13 more
europepmc   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Physiological maturation and hormonal profiles associated with rooting performance and root system architecture of leafy cuttings in Prunus subhirtella 'Autumnalis'. [PDF]

BMC Plant Biol
Kunc P, Medic A, Grohar MC, Mrak T, Osterc G.   +4 more
europepmc   +1 more source

Root system architecture analysis and genome-wide association study of root system architecture related traits in cotton

Acta Agronomica Sinica, 2022
Si-Min SUN, Bei HAN, Lin CHEN, Wei-Nan SUN, Xian-Long ZHANG, Xi-Yan YANG   +5 more
openaire   +1 more source