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Related papers: Ab-Initio Simulation of Field Evaporation

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Excited state proton transfer is an ubiquitous phenomenon in biology and chemistry, spanning from the ultrafast reactions of photo-bases and acids to light-driven, enzymatic catalysis and photosynthesis. However, the simulation of such…

Chemical Physics · Physics 2024-10-18 Brieuc Le Dé , Simon Huppert , Riccardo Spezia , Alex W. Chin

Accelerated molecular dynamics (MD) simulations are implemented to model the sliding process of AFM experiments at speeds close to those found in experiment. In this study the hyperdynamics method, originally devised to extend MD time…

Materials Science · Physics 2015-05-14 Woo Kyun Kim , Michael L. Falk

We propose a new model for treating solid-phase photoprocesses in interstellar ice analogues. In this approach, photoionization and photoexcitation are included in more detail, and the production of electronically-excited (suprathermal)…

We propose a computational method to simulate anomalous self-diffusion in a simple liquid. The method is based on a molecular dynamics simulation on which we impose the following two conditions: firstly, the inter-particle interaction is…

Statistical Mechanics · Physics 2010-04-07 Simon Standaert , Jan Ryckebusch , Lesley De Cruz

In ab initio nuclear structure theory, accurately predicting electromagnetic observables, such as moments and transition rates, is essential for a comprehensive understanding of nuclear properties. However, computational limitations and…

Nuclear Theory · Physics 2025-12-22 Marco Knöll , Marc L. Agel , Tobias Wolfgruber , Pieter Maris , Robert Roth

A first principles machine learning model has been developed aimed at studying the formation of calcium carbonate from aqueous solution using molecular dynamics simulations. The model, dubbed SCAN-ML, reproduces accurately the potential…

Chemical Physics · Physics 2025-03-19 Pablo M. Piaggi , Julian D. Gale , Paolo Raiteri

We present an efficient ab initio dynamical mean-field theory (DMFT) implementation for quantitative simulations in solids. Our DMFT scheme employs ab initio Hamiltonians defined for impurities comprising the full unit cell or a supercell…

Strongly Correlated Electrons · Physics 2020-03-05 Tianyu Zhu , Zhi-Hao Cui , Garnet Kin-Lic Chan

Pseudopotential theory has greatly driven first-principles calculations in materials, replacing the explicit treatment of the chemically inert core electrons with an effective potential acting only on the valence states. This is inherently…

Materials Science · Physics 2026-05-07 Matteo Quinzi , Tommaso Chiarotti , Nicola Marzari

Large-scale simulations of plastic deformation and phase transformations in alloys require reliable classical interatomic potentials. We construct an embedded-atom method potential for niobium as the first step in alloy potential…

Materials Science · Physics 2010-04-27 Michael R. Fellinger , Hyoungki Park , John W. Wilkins

Unimolecular evaporation in rotating atomic clusters is investigated using phase space theory (PST) and molecular dynamics simulations. The rotational densities of states are calculated in the sphere+atom approximation, and analytical…

Chemical Physics · Physics 2007-05-23 F. Calvo , P. Parneix

We introduce a framework to investigate ab-initio the dynamics of rare thermally activated reactions. The electronic degrees of freedom are described at the quantum-mechanical level in the Born-Oppenheimer approximation, while the nuclear…

Mesoscale and Nanoscale Physics · Physics 2009-10-06 S. a Beccara , G. Garberoglio , P. Faccioli , F. Pederiva

A multiscale scheme combining molecular dynamics (MD) and microscopic phase-field theory is proposed to study the structural phase transformations in solids with inhomogeneous strain field. The approach calculates strain response based on…

Materials Science · Physics 2007-05-23 Zhi-Rong Liu , Huajian Gao

Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much of our understanding of chemistry and materials science.…

Chemical Physics · Physics 2025-09-08 Ilyes Batatia , Philipp Benner , Yuan Chiang , Alin M. Elena , Dávid P. Kovács , Janosh Riebesell , Xavier R. Advincula , Mark Asta , Matthew Avaylon , William J. Baldwin , Fabian Berger , Noam Bernstein , Arghya Bhowmik , Filippo Bigi , Samuel M. Blau , Vlad Cărare , Michele Ceriotti , Sanggyu Chong , James P. Darby , Sandip De , Flaviano Della Pia , Volker L. Deringer , Rokas Elijošius , Zakariya El-Machachi , Fabio Falcioni , Edvin Fako , Andrea C. Ferrari , John L. A. Gardner , Mikolaj J. Gawkowski , Annalena Genreith-Schriever , Janine George , Rhys E. A. Goodall , Jonas Grandel , Clare P. Grey , Petr Grigorev , Shuang Han , Will Handley , Hendrik H. Heenen , Kersti Hermansson , Christian Holm , Cheuk Hin Ho , Stephan Hofmann , Jad Jaafar , Konstantin S. Jakob , Hyunwook Jung , Venkat Kapil , Aaron D. Kaplan , Nima Karimitari , James R. Kermode , Panagiotis Kourtis , Namu Kroupa , Jolla Kullgren , Matthew C. Kuner , Domantas Kuryla , Guoda Liepuoniute , Chen Lin , Johannes T. Margraf , Ioan-Bogdan Magdău , Angelos Michaelides , J. Harry Moore , Aakash A. Naik , Samuel P. Niblett , Sam Walton Norwood , Niamh O'Neill , Christoph Ortner , Kristin A. Persson , Karsten Reuter , Andrew S. Rosen , Louise A. M. Rosset , Lars L. Schaaf , Christoph Schran , Benjamin X. Shi , Eric Sivonxay , Tamás K. Stenczel , Viktor Svahn , Christopher Sutton , Thomas D. Swinburne , Jules Tilly , Cas van der Oord , Santiago Vargas , Eszter Varga-Umbrich , Tejs Vegge , Martin Vondrák , Yangshuai Wang , William C. Witt , Thomas Wolf , Fabian Zills , Gábor Csányi

We expand iterative numerically-exact influence functional path-integral tools and present a method capable of following the nonequilibrium time evolution of subsystems coupled to multiple bosonic and fermionic reservoirs simultaneously.…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 Lena Simine , Dvira Segal

We propose a new molecular simulation framework that combines the transferability, robustness and chemical flexibility of an ab initio method with the accuracy and efficiency of a machine learned force field. The key to achieve this mix is…

Computational Physics · Physics 2020-01-08 Sebastian Dick , Marivi Fernandez-Serra

Atomic-scale phase-field modeling formulates the probability densities of atomic vibrations as Gaussian distributions and derives a free energy functional using variational Gaussian theory and interatomic potentials. This framework permits…

Materials Science · Physics 2025-09-17 Kairi Masuda , Yu Kumagai

The article experimentally reveals and theoretically establishes the influence of electric fields on the evaporation kinetics of pendant droplets. It is shown that the evaporation kinetics of saline pendant droplets can be augmented by the…

Fluid Dynamics · Physics 2019-06-19 Vivek Jaiswal , Purbarun Dhar

The phase behaviour and dynamics of molecular ionic liquids are studied using primitive models and extensive computer simulations. The models account for size disparity between cation and anion, charge location on the cation, and…

Soft Condensed Matter · Physics 2012-02-23 G. C. Ganzenmüller , P. J. Camp

Field emission coupled with molecular dynamics simulation (FEcMD) software package is a computational tool for studying atomic structure evolution, structural deformation, phase transitions, recrystallization as well as electron emission…

Computational Physics · Physics 2026-01-22 Bing Xiao , Nan Li , Wenqian Kong , Rui Chu , Hongyu Zhang , Guodong Meng , Kai Wu , Yonghong Cheng

Spontaneous structural rearrangements play a central role in the organization and function of complex biomolecular systems. In principle, physics-based computer simulations like Molecular Dynamics (MD) enable us to investigate these…

Quantum Physics · Physics 2026-03-19 Danial Ghamari , Philipp Hauke , Roberto Covino , Pietro Faccioli
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