Results 131 to 140 of about 269,449 (266)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

tanggle: An R package for the visualization of phylogenetic networks. [PDF]

open access: yesAppl Plant Sci
Schliep K   +6 more
europepmc   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

open access: yesAdvanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita   +4 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

<i>Phytophthora</i> root rot induces compositional and functional changes in avocado rhizosphere bacterial communities. [PDF]

open access: yesFEMS Microbes
Alfaro-García RG   +7 more
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Weighted-R-Trees

open access: yes, 2006
Παρατηρήσεις έκδοσης: λείπει η σελίδα 62 από το φυσικό τεκμήριο.
openaire   +1 more source

Discovery and Engineering of a Rat Endogenous Retrovirus Reverse Transcriptase for Efficient Prime Editing

open access: yesAdvanced Science, EarlyView.
We screened 558 reverse transcriptases and engineered an optimized rat endogenous retrovirus‐derived variant, enRERV‐RT, via structure‐guided engineering and deep mutational scanning. This enhanced prime editor, based on the engineered RT, outperforms conventional M‐MLV‐RT systems across plant and animal cells, particularly at hard‐to‐edit loci ...
Linsha Ma   +22 more
wiley   +1 more source

Home - About - Disclaimer - Privacy