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Marko M. Melander

Publications and source records attributed to Marko M. Melander.

4 recordsLinked to original sources

Electrochemical Electron Transfer: Key Concepts, Theories, and Parameterization via Atomistic Simulations

Electron transfer (ET) at electrochemical interfaces is central to energy conversion and storage, yet its theoretical and computational modeling remain active research areas. This review elucidates key concepts and theories of ET kinetics, focusing on coupling between classical solvent fluctuations and quantum electronic states of metallic electrodes and redox species. We begin with fundamental rate theories, reaction coordinates, and electrochemical timescales, then explore weak, strong, and intermediate electronic coupling regimes. Special attention is given to solvent dynamics and the structure of the electrical double layer (EDL), which critically impact ET kinetics. Atomistic simulations, particularly density functional theory (DFT) and molecular dynamics (MD), are highlighted for testing linear response and determining solvent reorganization energy, electronic coupling strengths, and solvent relaxation dynamics. A central theme is linear response enabling tractable treatments across Marcus theory, empirical valence bond (EVB) models, the Anderson-Newns-Schmickler framework, and generalized Langevin dynamics. While linear response offers useful simplifications, we assess its limitations, particularly for strong solvation changes or inner-sphere ET at catalytic interfaces. We discuss advances, including mapping Hamiltonian-based EVB-MD, constrained DFT, and non-Gaussian free energy formulations, enabling rigorous tests and access to diabatic and adiabatic free energy surfaces. We outline opportunities to advance multiscale, quantum-classical models that integrate EDL effects, multiple reaction coordinates, solvent-controlled dynamics, and transitions between adiabatic and nonadiabatic regimes. This review serves as a conceptual guide and practical resource for researchers integrating theory and simulation in studying electrochemical ET across diverse systems.

physics.chem-ph

OH$^-$-Enhanced Alkaline Hydrogen Evolution Reaction at the Au(111) Electrode

The hydrogen evolution reaction (HER) in alkaline media suffers from sluggish kinetics but the origin of the pH-dependent activity remains debated. This study investigates the role of hydroxide ions (OH) in enhancing the alkaline HER at Au(111) by systematically varying the pH and the NaOH concentration both with and without fixing the total Na concentration.Contrary to conventional cation-centric models of alkaline HER, we demonstrate a notable anion effect by showing that the HER activity increases monotonically with pH and OH concentration, even at extremely high NaOH concentrations(up to 9 M).Tafel slopes decrease from 181 mV/dec at pH=10 to 124 mV/dec at pH=13 and to 111 mV/dec for the case with 9 M NaOH, indicating accelerated kinetics.Infrared spectroscopy reveals that interfacial OH strengthens the hydrogen-bond network, which is expected to lower the activation energy for the Volmer step,the rate-determining step of HER on Au(111). Hence,OH enhances alkaline HER kinetics by strengthening the hydrogen bond network and its connectivity at the electrochemical interface;this allows us to propose a unified mechanism for the electrolyte effects on alkaline HER where structure-making ions (Li,K,and OH) improve the reaction kinetics by optimizing the interfacial hydrogen bond network.

physics.chem-ph

GPAW: An open Python package for electronic-structure calculations

We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density functional theory (DFT) equations using three different wave-function representations, namely real-space grids, plane waves, and numerical atomic orbitals. The three representations are complementary and mutually independent and can be connected by transformations via the real-space grid. This multi-basis feature renders GPAW highly versatile and unique among similar codes. By virtue of its modular structure, the GPAW code constitutes an ideal platform for implementation of new features and methodologies. Moreover, it is well integrated with the Atomic Simulation Environment (ASE) providing a flexible and dynamic user interface. In addition to ground-state DFT calculations, GPAW supports many-body GW band structures, optical excitations from the Bethe-Salpeter Equation (BSE), variational calculations of excited states in molecules and solids via direct optimization, and real-time propagation of the Kohn-Sham equations within time-dependent DFT. A range of more advanced methods to describe magnetic excitations and non-collinear magnetism in solids are also now available. In addition, GPAW can calculate non-linear optical tensors of solids, charged crystal point defects, and much more. Recently, support of GPU acceleration has been achieved with minor modifications of the GPAW code thanks to the CuPy library. We end the review with an outlook describing some future plans for GPAW.

cond-mat.mtrl-sci