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The decomposition and chemical dynamics for vibrationally excited syn-CH$_3$CHOO is followed based on statistically significant numbers of molecular dynamics simulations. Using a neural network-based reactive potential energy surface,…

Chemical Physics · Physics 2023-07-07 Meenu Upadhyay , Kai Töpfer , Markus Meuwly

Understanding the semiconductor-electrolyte interface in photoelectrochemical (PEC) systems is crucial for optimizing stability and reactivity. Despite the challenges in establishing reliable surface structure models during PEC cycles, this…

Materials Science · Physics 2024-12-12 Yonghyuk Lee , Taehun Lee

Detailed understanding of solid-solid interface structure-function relations is critical for the improvement and wide deployment of all solid-state batteries. The interfaces between lithium phosphorous oxynitride ("LiPON") solid electrolyte…

A model for impedance of a PEM fuel cell cathode catalyst layer under simultaneous application of potential and oxygen concentration perturbations is developed and solved. The resulting expression demonstrates dramatic lowering of the layer…

Chemical Physics · Physics 2023-10-16 Andrei Kulikovsky

Transforming CO$_2$ into methanol represents a crucial step towards closing the carbon cycle, with thermoreduction technology nearing industrial application. However, obtaining high methanol yields and ensuring the stability of…

Chemical Physics · Physics 2025-07-08 Prajwal Pisal , Ondrej Krejci , Patrick Rinke

We study the influence of airborne CO2 on the charge state of carboxylate stabilized polymer latex particles suspended in aqueous electrolytes. We combine conductometric experiments interpreted in terms of Hessinger's conductivity model…

Soft Condensed Matter · Physics 2024-11-19 Peter Vogel , David Beyer , Christian Holm , Thomas Palberg

Machine Learning Interatomic Potentials (MLIPs) have successfully demonstrated scaling behavior, i.e. the power-law improvement in training performance, however the emergence of novel capabilities at scale remains unexplored. We have…

We present a theoretical investigation of cold reactive and non-reactive collisions of Li and Rb atoms with C$_{2}^{-}$. The potential energy surfaces for the singlet and triplet states of the Li--C$_{2}^{-}$ and Rb--C$_{2}^{-}$ systems…

Atomic Physics · Physics 2019-04-17 Milaim Kas , Jérôme Loreau , Jacques Liévin , Nathalie Vaeck

Trapping of atoms and molecules in electrostatic, magnetic and optical traps has enabled studying atomic and molecular interactions on a timescale of many seconds, allowing observations of ultra-cold collisions and reactions. Here we report…

Atomic Physics · Physics 2020-12-02 Michael Karpov , Martin Pitzer , Yair Segev , Julia Narevicius , Edvardas Narevicius

Machine-learned interatomic potentials (MLPs) provide near density functional theory (DFT) accuracy at reduced computational cost, but their reliability depends on representative training data and often deteriorates in transition-state…

Chemical Physics · Physics 2026-05-06 Ashique Lal , Rik S. Breebaart , Peter G. Bolhuis , Evert Jan Meijer

Material balance equations describe the dynamics of the species in open reaction systems and contain information regarding reaction topology, kinetics and operation mode. For reaction systems, the state variables (the numbers of moles, or…

Systems and Control · Computer Science 2015-11-23 Nirav Bhatt , Sriniketh Srinivasan

We present an embedding technique for metallic systems that makes it possible to model energy dissipation into substrate phonons during surface chemical reactions from first principles. The separation of chemical and elastic contributions…

Materials Science · Physics 2014-05-14 Jörg Meyer , Karsten Reuter

Analysis of lithiation and delithiation kinetics in pulse-laser-deposited crystalline thin-film silicon (Si) electrodes is presented. Data from open-circuit relaxation experiments are used in conjunction with a model based on Tafel kinetics…

Materials Science · Physics 2013-01-04 Vijay A. Sethuraman , Venkat Srinivasan , John Newman

Solid-state electrolytes, by enabling lithium metal anodes, may significantly increase the energy density of current lithium-ion batteries. However, similar to their liquid counterparts, these hard and stiff electrolytes can still be…

Chemical Physics · Physics 2024-10-04 Rajeev Gopal , Longan Wu , Youngju Lee , Jinzhao Guo , Peng Bai

The catalytic reduction of $\mathrm{CO_{2}/CO}$ is an appealing approach for reducing greenhouse gas concentrations while also producing renewable energy. We used two-dimensional transitional metal carbides known as Mxenes as the most…

Chemical Physics · Physics 2023-06-21 Tewodros Eyob Ada , Kenate Nemera Nigussa , Cecil N. M. Ouma

The electrocatalytic CO2 reduction reaction (CO2RR) is a complex multi-proton-electron transfer process that generates a vast network of reaction intermediates. Accurate prediction of free energy changes (G) of these intermediates and…

Chemical Physics · Physics 2025-04-23 Xuxin Kang , Wenjing Zhou , Ziyuan Li , Zhaoqin Chu , Hanqin Yin , Shan Gao , Aijun Du , Xiangmei Duan

Electrochemical phenomena in biology often unfold in confined geometries where micrometer- to millimeter-scale domains coexist with nanometer-scale interfacial diffuse charge layers. We analyze a model lipid membrane-electrolyte system…

Soft Condensed Matter · Physics 2025-08-20 Joshua B. Fernandes , Hyeongjoo Row , Kranthi K. Mandadapu , Karthik Shekhar

Electrochemical kinetics at electrode-electrolyte interfaces limit performance of devices including fuel cells and batteries. While the importance of moving beyond Butler-Volmer kinetics and incorporating the effect of electronic density of…

Chemical Physics · Physics 2021-01-06 Rachel Kurchin , Venkatasubramanian Viswanathan

We use multi-scale modeling to analyze laser-induced fluorescence (LIF) measurements of the CO oxidation reaction over Pd(100) at near-ambient reaction conditions. Integrating density-functional theory based kinetic Monte Carlo simulations…

Materials Science · Physics 2015-06-19 S. Matera , S. Blomberg , M. J. Hoffmann , J. Zetterberg , J. Gustafson , E. Lundgren , K. Reuter

Machine learning is ideally suited for the pattern detection in large uniform datasets, but consistent experimental datasets on catalyst studies are often small. Here we demonstrate how a combination of machine learning and first-principles…

Materials Science · Physics 2020-08-05 Nongnuch Artrith , Zhexi Lin , Jingguang G. Chen
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