Results 181 to 190 of about 41,699 (263)

Kinetic Jeans instability in FOG framework. [PDF]

open access: yesSci Rep
Das M, Atteya A, Karmakar PK.
europepmc   +1 more source

Atomic Tuning of Metal‐Support Interactions for Pathway‐Selective CO2 Photoreduction on TiO2

open access: yesAdvanced Science, EarlyView.
Single‐atom Fe and Cu catalysts anchored on TiO2 steer photocatalytic CO2 reduction toward distinct pathways. Fe sites favor rapid *CO desorption and selective CO formation, whereas Cu sites stabilize *CHO intermediates, enabling deep reduction and C─C coupling. Combined spectroscopy and DFT calculations reveal how metal–support interactions and oxygen
Dongyun Kim   +13 more
wiley   +1 more source

At riste og råde runerne

open access: yesTidsskrift for Professionsstudier
Bjarke Vognstrup Fog
doaj  

Origins of Self-Fertility in Three <i>Caenorhabditis</i> Nematodes. [PDF]

open access: yesBiology (Basel)
Bobinski M   +3 more
europepmc   +1 more source

Insights Into CO2 Loss, pH Effects, and Tafel Kinetics in Ni Single Atom‐Driven Bicarbonate Electroreduction

open access: yesAdvanced Science, EarlyView.
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li   +7 more
wiley   +1 more source

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

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

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