Results 161 to 170 of about 47,540 (308)

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

open access: yesAdvanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue   +6 more
wiley   +1 more source

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

Implicit Partial Differential Equations: different approaching methods

open access: yes, 2004
Implicit Partial Differential Equations: different approaching methods PhD Thesis of Giovanni Pisante Abstract In the last few decades the interest of scientists in nonlinear analysis has been constantly increasing and nonlinear partial ...
Pisante, Giovanni
core  

Reconfigurable Inflatables Through Controlled Surface Crumpling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Inflatable structures offer remarkable versatility due to their compact storage and rapid deployment, making them ideal for lightweight, quickly assembled, and deployable applications. These structures are typically made from membranes that are nearly inextensible yet highly flexible.
Yi Yang   +8 more
wiley   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

open access: yesAdvanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin   +11 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

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

Enhancing Biogenic Formic Acid Production in the Modified OxFA Process by Acetonitrile Addition

open access: yesAdvanced Science, EarlyView.
In this study, the beneficial effect of using acetonitrile as a co‐solvent in the modified OxFA process is shown, outperforming methanol, demonstrating improved reaction kinetics combined with high selectivity for the HPA‐2 (H5PV2Mo10O40) catalyzed oxidation of xylose to FA.
Jan‐Dominik H. Krueger   +7 more
wiley   +1 more source

On stability for nonlinear implicit fractional differential equations

open access: yesLe Matematiche, 2015
The purpose of this paper is to establish some  types of Ulam stability: Ulam-Hyers stability, generalized Ulam-Hyers stability, Ulam-Hyers-Rassias stability and generalized Ulam-Hyers-Rassias stability for a class of implicit fractional-order ...
Mouffak Benchohra, Jamal E. Lazreg
doaj  

On the solution of an implicit equation

open access: yesIllinois Journal of Mathematics, 1959
Abian, Smbat, Brown, Arthur B.
openaire   +3 more sources

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