Results 151 to 160 of about 111,464 (290)

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

Evolutionary Tree in Chemical Space of Natural Products

open access: yes
ABSTRACT Natural products (NPs) are key to biological function and adaptation, with their distribution shaped by complex evolutionary and ecological forces. While it may seem reasonable to assume that closely related species produce chemically similar NPs, this assumption has not been systematically tested at a broad taxonomic scale ...
Yang, Bo   +5 more
openaire   +2 more sources

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

A sequential approach with multiple trees in large chemical databases

open access: yes, 2000
축차적 설계가 검증할 화합물들이 증가하는 거대한 화학적 데이터 베이스에서 효율적이라는 것이 밝혀져 있다. 또한, 다중나무예측치들이 한 개의 나무 예측치보다 더 정확하다는것도 알려져 있다. 우리는 이러한 축차적 설계와 다중나무들을 이용하여, 다중나무를 갖고 축차적으로 접근하는 방법을 제안한다. 그리고, 상이성의 척도로서 BNNN과 Tanimoto, 2개의 방법들의 정확성을 비교하고자 한다.
정종희
core  

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

Microbial Odorant Detection Guides Drosophila Parasitoids Seeking Hosts in Fermenting Fruits

open access: yesAdvanced Science, EarlyView.
Yeast microbes in fermenting fruits attract both host flies and their parasitoid wasps. Female Leptopilina boulardi detect yeast‐emitted ethyl esters via two olfactory receptors, LbouOR167 and LbouOR136. A conserved residue, Leu159, is critical for binding these compounds, enabling female wasps to locate host‐rich habitats.
Yueqi Lu   +11 more
wiley   +1 more source

Evaluating the influence of magnetic iron as an eco-friendly soil amendment applications on agronomic and fruit quality parameters of 'Fremont' mandarin. [PDF]

open access: yesSci Rep
Hamdy AE   +10 more
europepmc   +1 more source

Boosting Sensory Nerve‐to‐Bone Interactions Enhances Hedgehog Mediated Calvarial Bone Repair

open access: yesAdvanced Science, EarlyView.
Boosting sensory nerve activity via TrkA agonism strongly accelerates calvarial bone repair in adult mice. Furthermore, single‐cell RNA sequencing and neuron–bone interactome analyses identify these sensory neurons as a direct neural source of Hedgehog pathway ligands. Consequently, these ligands drive osteoblast differentiation of skeletal progenitors,
Zhao Li   +9 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

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