Results 191 to 200 of about 4,993 (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

Invisible burdens of platform work: a qualitative study of food-delivery riders' lived experiences in urban India. [PDF]

open access: yesInt J Qual Stud Health Well-being
Kariveliparambil A   +5 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li   +8 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

Chiral‐Encoded Pt‐Ir Surfaces as Apparent Spin Filter for Enhanced Oxygen Reduction

open access: yesAdvanced Science, EarlyView.
The Chiral‐Induced Spin Selectivity (CISS) effect is employed in chiral‐encoded mesoporous Platinum‐Iridium (Pt‐Ir) electrocatalysts to enhance the oxygen reduction reaction (ORR). A break in spin symmetry leads to a substantial antagonistic difference in activity (>200%) when comparing two enantiomorphs of the same electrode.
Zikkawas Pasom   +5 more
wiley   +1 more source

Advances in Quantum Computation in NISQ Era. [PDF]

open access: yesEntropy (Basel)
Xie XD, Zhang X, Koczor B, Yuan X.
europepmc   +1 more source

Modulating the Charge Transfer Channels via Constructing Charge‐Assisted Hydrogen‐Bonded Organic Frameworks for Enhanced Photosynthesis of Hydrogen Peroxide

open access: yesAdvanced Science, EarlyView.
This work reports a strategy of engineering charge‐assisted hydrogen bonds to tailor charge transfer channels in HOFs, significantly improving their performance in photocatalytic H2O2 production. ABSTRACT The production of H2O2 via artificial photosynthesis is often limited by inefficient charge‐carrier separation, causing significant charge ...
Yajun Zhao   +7 more
wiley   +1 more source

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