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Machine-Learning-Accelerated DFT Conformal Sampling of Catalytic Processes
T Roongcharoen, G Conter, L Sementa… - Journal of Chemical …, 2024 - ACS Publications
Computational modeling of catalytic processes at gas/solid interfaces plays an increasingly
important role in chemistry, enabling accelerated materials and process optimization and …
important role in chemistry, enabling accelerated materials and process optimization and …
Rapid map** of alloy surface phase diagrams via Bayesian evolutionary multitasking
Surface phase diagrams (SPDs) are essential for understanding the dependence of surface
chemistry on reaction condition. For multi-component systems such as metal alloys, the …
chemistry on reaction condition. For multi-component systems such as metal alloys, the …
Accelerating structure search using atomistic graph-based classifiers
AM Slavensky, B Hammer - The Journal of Chemical Physics, 2024 - pubs.aip.org
We introduce an atomistic classifier based on a combination of spectral graph theory and a
Voronoi tessellation method. This classifier allows for the discrimination between structures …
Voronoi tessellation method. This classifier allows for the discrimination between structures …
Moiré Patterns in Pt Overlayers on Gold: A Graph Neural Network Interatomic Potential Study
Overlayer structures in bimetallic catalysts are relevant to a variety of catalytic reactions,
particularly in electrocatalysis for fuel cell applications. Previous computational studies …
particularly in electrocatalysis for fuel cell applications. Previous computational studies …
Lattice-Strained Bimetallic Nanocatalysts: Fundamentals of Synthesis and Structure
Bimetallic nanostructured catalysts have shown great promise in the areas of energy,
environment and magnetics. Tunable composition and electronic configurations due to …
environment and magnetics. Tunable composition and electronic configurations due to …
[HTML][HTML] Determining the chemical ordering in nanoalloys by considering atomic coordination types
The energetically most favorable chemical ordering of bimetallic nanoparticles can be
characterized by combining global optimization algorithms and surrogate energy models …
characterized by combining global optimization algorithms and surrogate energy models …
Dealloying in Pt-based nanoalloys as a way to synthesize bimetallic nanoparticles: Atomistic simulations
K Savina, R Grigoryev, V Myasnichenko… - Nano-Structures & Nano …, 2023 - Elsevier
Dealloying is already being used as a method for manufacturing structured binary and
multicomponent metal nanoparticles. In such a process, one of the metals, eg the less noble …
multicomponent metal nanoparticles. In such a process, one of the metals, eg the less noble …
Mechanistic Investigation of Methanol Aqueous-Phase Reforming via Water Dissociation over Pt and Pt–Mn Catalysts: A Density Functional Theory Insight
T Roongcharoen, L Sementa… - The Journal of Physical …, 2025 - ACS Publications
Catalytic conversion of oxygenated hydrocarbons via aqueous-phase reforming (APR) is a
promising catalytic platform for hydrogen production and water remediation. Herein, we …
promising catalytic platform for hydrogen production and water remediation. Herein, we …