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| Open AccessRedefined ion association constants have consequences for calcium phosphate nucleation and biomineralization
While clusters in calcium orthophosphate nucleation have long been known, their speciation and mechanistic pathways to hydroxyapatite remain debated. Here the authors report a revision of ion association in the calcium phosphate system and explore the consequences thereof on the early stages of phase separation.
- David P. McDonogh
- , Julian D. Gale
- & Denis Gebauer
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Article
| Open AccessThermodynamic driving forces in contact electrification between polymeric materials
Contact electrification is a widely observed phenomenon in nature and in materials. Here, the authors use molecular dynamics simulations to show the importance of thermodynamic driving forces in contact electrification in insulating materials.
- Hang Zhang
- , Sankaran Sundaresan
- & Michael A. Webb
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Article
| Open AccessDynamics of the charge transfer to solvent process in aqueous iodide
Solvated electrons can be formed through photo-induced charge-transfer-to-solvent electronic states of halide ions in water. Here, the authors use machine learning accelerated molecular dynamics simulations to follow the evolution of these states for aqueous iodide in detail.
- Jinggang Lan
- , Majed Chergui
- & Alfredo Pasquarello
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Article
| Open AccessDynamics of activation in the voltage-sensing domain of Ciona intestinalis phosphatase Ci-VSP
Understanding the molecular basis of voltage-sensing is of great importance in biology. Here, the authors use computational analysis and simulations to reveal atomic level insights into the mechanism of an isolated voltage-sensing domain.
- Spencer C. Guo
- , Rong Shen
- & Aaron R. Dinner
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Article
| Open AccessActive machine learning model for the dynamic simulation and growth mechanisms of carbon on metal surface
Understanding the surface growth mechanism of carbon nanostructures would help designing better catalysts. Here, the authors combine active machine learning force fields with time-stamped Monte Carlo methods, to dynamically predict carbon growth on metal surfaces.
- Di Zhang
- , Peiyun Yi
- & Hao Li
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Article
| Open AccessCombining stochastic resetting with Metadynamics to speed-up molecular dynamics simulations
An outstanding limitation of molecular dynamics simulations is sampling of long timescales. Here, authors combine Metadynamics, a popular enhanced sampling method, with stochastic resetting, to achieve higher speedups and improved kinetic inference.
- Ofir Blumer
- , Shlomi Reuveni
- & Barak Hirshberg
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Article
| Open AccessElectronic paddle-wheels in a solid-state electrolyte
Conduction in solid-state electrolytes composed of monatomic ions is found to be analogous to the paddle-wheel mechanism in molecular solid electrolytes, facilitated by rotational motion of lone pair electrons, helping unify understanding of mechanisms.
- Harender S. Dhattarwal
- , Rahul Somni
- & Richard C. Remsing
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Article
| Open AccessElucidation of the structural basis for ligand binding and translocation in conserved insect odorant receptor co-receptors
Insects rely on olfaction for behavior control. Recent structural studies of receptors provide insight into ligand binding. Here, the authors identify dynamic binding mechanism to Orco, explaining its high selectivity with insights in compound screening.
- Jody Pacalon
- , Guillaume Audic
- & Jérémie Topin
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Article
| Open AccessMulti-step nucleation pathway of C-S-H during cement hydration from atomistic simulations
The nucleation of calcium silicate hydrate is a crucial step in cement hydration, but is still a poorly understood process. Here the authors use atomistic simulations to study primary particles and their aggregation, revealing a potential C-S-H “basic building block”.
- Xabier M. Aretxabaleta
- , Jon López-Zorrilla
- & Hegoi Manzano
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Article
| Open AccessGenome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints
Analysis of CRISPR-Cas off-targets is important. Here the authors incorporate molecular dynamics simulations in the computational analysis of CRISPR editing and report the CRISOT tool suite and apply this to genome-wide CRISPR off-target prediction and sgRNA optimisation.
- Qinchang Chen
- , Guohui Chuai
- & Qi Liu
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Article
| Open AccessThermal dependence of the hydrated proton and optimal proton transfer in the protonated water hexamer
Water’s pivotal role is tied to the quantum nature of its hydrogen bond dynamics. Here, the authors investigate the thermal behavior of the protonated water hexamer through accurate path integral molecular dynamics, revealing that near-room temperature conditions are optimal for proton transfer.
- Félix Mouhat
- , Matteo Peria
- & Michele Casula
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Article
| Open AccessMulti-scale molecular dynamics simulations of enhanced energy transfer in organic molecules under strong coupling
Placing an organic material in an optical cavity can enhance exciton transport, but the mechanism is poorly understood. Here, using molecular dynamics simulations, the authors obtained atomistic insights into that mechanism.
- Ilia Sokolovskii
- , Ruth H. Tichauer
- & Gerrit Groenhof
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Article
| Open AccessStructural basis of dimerization of chemokine receptors CCR5 and CXCR4
Here, authors report chemokine receptors structures obtained using coarse-grained metadynamics. CCR5 and CXCR4 homo- and heterodimers differ in the conformations of ligand binding sites and of the G protein interaction interface, suggesting structural basis for the rational design of biased ligands.
- Daniele Di Marino
- , Paolo Conflitti
- & Vittorio Limongelli
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| Open AccessUniversal machine learning for the response of atomistic systems to external fields
External fields, despite their significant influence on chemical processes, have been largely ignored in current machine learning potentials. Here, the authors introduce a field-induced model that captures system-field interactions rigorously.
- Yaolong Zhang
- & Bin Jiang
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Article
| Open AccessMachine learning coarse-grained potentials of protein thermodynamics
Understanding protein dynamics is a complex scientific challenge. Here, authors construct coarse-grained molecular potentials using artificial neural networks, significantly accelerating protein dynamics simulations while preserving their thermodynamics.
- Maciej Majewski
- , Adrià Pérez
- & Gianni De Fabritiis
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Article
| Open AccessEfficient interatomic descriptors for accurate machine learning force fields of extended molecules
Accurate description of non-local interactions represents a challenge for machine learning force fields. Here, authors develop linearly scaling global descriptors and analyse the non-local interatomic features that contribute to accurate predictions.
- Adil Kabylda
- , Valentin Vassilev-Galindo
- & Alexandre Tkatchenko
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Article
| Open AccessRealistic phase diagram of water from “first principles” data-driven quantum simulations
The molecular modelling of water has been a long sought-after goal in computational sciences for more than 50 years. Here, the authors show that the data-driven many-body MB-pol potential can provide a realistic representation of the phase diagram of water.
- Sigbjørn Løland Bore
- & Francesco Paesani
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Article
| Open AccessCentral cavity dehydration as a gating mechanism of potassium channels
The hydrophobic gating is believed to function in various ion channels. Here, the authors use MD simulations to assess how dewetting of the channel pore modulates the function and conformational transition of the potassium channels.
- Ruo-Xu Gu
- & Bert L. de Groot
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Article
| Open AccessPerformance efficient macromolecular mechanics via sub-nanometer shape based coarse graining
Here the authors report SBCG2 an update to the neural network based, Shape-Based Coarse Graining (SBCG) approach for creating coarse grained molecular topologies with atomistic detail. They show how SBCG2 can reduce the computational costs of simulating very large assemblies like the HIV-1 capsid allowing simulation on commodity hardware.
- Alexander J. Bryer
- , Juan S. Rey
- & Juan R. Perilla
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Article
| Open AccessTwo-dimensional infrared-Raman spectroscopy as a probe of water’s tetrahedrality
Direct spectroscopic probes of the impact of structure on dynamical processes in liquids remain scarce. Here, the authors use molecular dynamics simulations to show that the correlation between vibrational coupling and the local tetrahedral structure of liquid water can be studied via hybrid terahertz- and infrared-Raman spectroscopy.
- Tomislav Begušić
- & Geoffrey A. Blake
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Article
| Open AccessNanoconfinement facilitates reactions of carbon dioxide in supercritical water
Aqueous CO2 under nanoconfinement is of great importance to the carbon storage and transport in Earth. Here, the authors apply ab initio molecular dynamics simulations to study the effects of confinement and interfaces, and show that that CO(aq) reacts more in nanoconfinement than in bulk.
- Nore Stolte
- , Rui Hou
- & Ding Pan
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Article
| Open AccessSub-optical-cycle light-matter energy transfer in molecular vibrational spectroscopy
Energy transfer between the electromagnetic field and atoms or molecules is fundamentally interesting. Here the authors demonstrate stepwise energy transfer between broadband mid-infrared optical pulses and vibrating methylsulfonylmethane molecules in aqueous solution.
- Martin T. Peschel
- , Maximilian Högner
- & Ioachim Pupeza
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Article
| Open AccessActive learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt
Uncertainty-aware machine learning models are used to automate the training of reactive force fields. The method is used here to simulate hydrogen turnover on a platinum surface with unprecedented accuracy.
- Jonathan Vandermause
- , Yu Xie
- & Boris Kozinsky
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Article
| Open AccessEnergy-efficient pathway for selectively exciting solute molecules to high vibrational states via solvent vibration-polariton pumping
Hybrid light-matter states formed in the strong light-matter coupling regime can alter the molecular ground-state reactivity. Here, Li et al. computationally demonstrate that pumping a collection of solvent molecules forming hybrid vibrational light-matter states in an optical cavity can excite solute molecules to very high excited states.
- Tao E. Li
- , Abraham Nitzan
- & Joseph E. Subotnik
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Article
| Open AccessExcited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
The authors introduce a diabatic neural network to accelerate excitedstate, non-adiabatic simulations of azobenzene derivatives. The model predicts quantum yields for unseen species that are correlated with experiment.
- Simon Axelrod
- , Eugene Shakhnovich
- & Rafael Gómez-Bombarelli
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Article
| Open AccessAccelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties
Screening polymer electrolytes for batteries is extremely expensive due to the complex structures and slow dynamics. Here the authors develop a machine learning scheme to accelerate the screening and explore a space much larger than past studies.
- Tian Xie
- , Arthur France-Lanord
- & Jeffrey C. Grossman
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Article
| Open AccessTowards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements
Existing neural network potentials are generally designed for narrow target materials. Here the authors develop a neural network potential which is able to handle any combination of 45 elements and show its applicability in multiple domains.
- So Takamoto
- , Chikashi Shinagawa
- & Takeshi Ibuka
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Article
| Open AccessE(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
An E(3)-equivariant deep learning interatomic potential is introduced for accelerating molecular dynamics simulations. The method obtains state-of-the-art accuracy, can faithfully describe dynamics of complex systems with remarkable sample efficiency.
- Simon Batzner
- , Albert Musaelian
- & Boris Kozinsky
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Article
| Open AccessUnderstanding the rheology of nanocontacts
The rigidity of solid nanocontacts formed when metals touch is apparently lost liquidlike under large mechanical oscillations. As we show theoretically, there is no melting but oscillated nanocontacts undergo a remarkable reversible stick-slip rheology.
- Ali Khosravi
- , Antoine Lainé
- & Erio Tosatti
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Article
| Open AccessMolecular communications in complex systems of dynamic supramolecular polymers
The dynamic structure of supramolecular polymers is challenging to determine both in experiments and in simulations. Here the authors use coarse-grained molecular models to provide a comprehensive analysis of the molecular communication in these complex molecular systems.
- Martina Crippa
- , Claudio Perego
- & Giovanni M. Pavan
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Article
| Open AccessChiral photochemistry of achiral molecules
The authors report non-adiabatic first principles molecular dynamics to show how an achiral molecule can be converted to a chiral one upon photoexcitation. These results demonstrate the possibility of asymmetric photochemistry starting from achiral reactants.
- Umberto Raucci
- , Hayley Weir
- & Todd J. Martínez
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Article
| Open AccessChallenges and limits of mechanical stability in 3D direct laser writing
Direct laser writing is an effective technique for fabrication of complex 3D polymer networks using ultrashort laser pulses but to date it is difficult to obtain a time-resolved microscopic picture of the printing process in operando. Here, the use molecular dynamics simulation to model direct laser writing and investigate the effect of writing condition and aspect ratio on the mechanical properties of the printed polymer network.
- Elaheh Sedghamiz
- , Modan Liu
- & Wolfgang Wenzel
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Article
| Open AccessCooperative light-induced breathing of soft porous crystals via azobenzene buckling
The application of photoswitches as light-responsive triggers for phase transitions of porous materials remains poorly explored. Here, the authors report a light-responsive flexible metal-organic framework which undergoes pore contraction upon combined application of light irradiation and adsorption stress via a buckling process of the framework-embedded azobenzene photoswitch.
- Simon Krause
- , Jack D. Evans
- & Ben L. Feringa
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Article
| Open AccessPseudo-adsorption and long-range redox coupling during oxygen reduction reaction on single atom electrocatalyst
The reaction region is commonly considered to be the direct catalyst surface. Here, the authors challenge this view and use molecular dynamics simulations to reveal a solvated hydroxide species dynamically confined in a pseudo-adsorption state at a few water layers away from the active site during oxygen reduction reaction on single atom electrocatalyst.
- Jie-Wei Chen
- , Zisheng Zhang
- & Yang-Gang Wang
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Article
| Open AccessSelf-consistent determination of long-range electrostatics in neural network potentials
Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the electronic and nuclear response of molecular systems to long-range electrostatics.
- Ang Gao
- & Richard C. Remsing
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Article
| Open AccessHypervalency in amorphous chalcogenides
The current study explores by ab-initio molecular dynamics simuations the concept of hypervalency in amorphous chalcogenide materials, from which a unified conceptual framework for understanding chemical bonding, microscopic structures, and structure-property relationships is established.
- T. H. Lee
- & S. R. Elliott
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Article
| Open AccessChemistry-mediated Ostwald ripening in carbon-rich C/O systems at extreme conditions
Modelling the growth of carbon nanoclusters in shock experiments is computationally demanding. Here the authors employ a machine-learned reactive interatomic model to perform large-scale simulations of nanocarbon formation from prototypical shocked C/O-containing precursor.
- Rebecca K. Lindsey
- , Nir Goldman
- & Sorin Bastea
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Article
| Open AccessAb initio mechanism revealing for tricalcium silicate dissolution
Dissolution of minerals in water is ubiquitous in nature, its mechanism at the atomic level still under debate. Here, the authors investigate the dissolution mechanism of tricalcium silicate at early stage by ab initio molecular dynamics and metadynamics simulations.
- Yunjian Li
- , Hui Pan
- & Zongjin Li
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Article
| Open AccessUptake of N2O5 by aqueous aerosol unveiled using chemically accurate many-body potentials
The reactive uptake of N2O5 to aqueous aerosol is a major loss channel for nitrogen oxides in the troposphere. Here authors report a theoretical investigation on the N2O5 uptake into aqueous aerosol and determine the hydrolysis rates by numerically solving a molecularly detailed reaction–diffusion equation.
- Vinícius Wilian D. Cruzeiro
- , Mirza Galib
- & Andreas W. Götz
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Article
| Open AccessDissolving salt is not equivalent to applying a pressure on water
By advanced machine learning techniques, first-principles simulations find that dissolving salt in water does not change water structure drastically. It is contrary to the notion of “pressure effect” which has been widely applied over past 25 years.
- Chunyi Zhang
- , Shuwen Yue
- & Xifan Wu
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Article
| Open AccessAccurate determination of solvation free energies of neutral organic compounds from first principles
Theoretical estimations of solvation free energy by continuum solvation models are generally not accurate. Here the authors report a polarizable force field fitted entirely to first-principles calculations for the estimation of free energy of solvation of arbitrary molecules.
- Leonid Pereyaslavets
- , Ganesh Kamath
- & Boris Fain
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Article
| Open AccessCan electric fields drive chemistry for an aqueous microdroplet?
Theoretical studies of the air-water interface of a water droplet show a wide distribution of strong electric fields at the surface that can make or break chemical bonds to accelerate chemical reactions over the bulk water phase.
- Hongxia Hao
- , Itai Leven
- & Teresa Head-Gordon
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Article
| Open AccessElevating density functional theory to chemical accuracy for water simulations through a density-corrected many-body formalism
No existing density functional correctly describes the properties of water across the entire phase diagram. The authors report a data-driven many-body potential energy function based on density-corrected SCAN functional that quantitatively reproduces the energetics of gas-phase water clusters, and correctly predicts the properties of liquid water.
- Saswata Dasgupta
- , Eleftherios Lambros
- & Francesco Paesani
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Article
| Open AccessSuperlubric polycrystalline graphene interfaces
Achieving ultra-low friction at macroscopic scales is highly desirable. In this work molecular dynamics simulations of graphitic contacts incorporating corrugated grain boundaries reveal an unusual non-monotonic variation of friction with normal load and temperature due to dynamic buckling effects.
- Xiang Gao
- , Wengen Ouyang
- & Oded Hod
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Article
| Open AccessTwo-dimensional monolayer salt nanostructures can spontaneously aggregate rather than dissolve in dilute aqueous solutions
Aqueous solutions under nanoscale confinement exhibit interesting physicochemical properties. This work reports evidence on the spontaneous formation of two-dimensional alkali chloride crystalline/non-crystalline nanostructures in dilute aqueous solution under nanoscale confinement by computer simulations.
- Wenhui Zhao
- , Yunxiang Sun
- & Xiao Cheng Zeng
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Article
| Open AccessMultistep nucleation of anisotropic molecules
Multistep nucleation phenomena are of considerable fundamental interest. Here the authors combine molecular dynamics, machine learning and molecular cluster analysis to investigate the multistep nucleation of smectic clusters from a nematic fluid that cannot be accounted for by the classical nucleation theory.
- Kazuaki Z. Takahashi
- , Takeshi Aoyagi
- & Jun-ichi Fukuda
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Article
| Open AccessOn the molecular origins of the ferroelectric splay nematic phase
Nematic liquid crystals with polar order bear great potential for many applications but their rational design is difficult. Mandle et al. outline a set of design principles for this new phase of matter, guided by experiments and simulation, showing polar order to be driven by steric interactions.
- Richard J. Mandle
- , Nerea Sebastián
- & Alenka Mertelj
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Article
| Open AccessTemperature-dependent kinetic pathways of heterogeneous ice nucleation competing between classical and non-classical nucleation
Classically, ice nucleation on foreign surfaces is considered a one-step process. Here, Li et al. uncover a two-barrier pathway which becomes competitive at lower temperatures, facilitated by synergistic, entropic effects of rhombic and hexagonal ice structures.
- Chu Li
- , Zhuo Liu
- & Xuhui Huang
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Article
| Open AccessDNA repair glycosylase hNEIL1 triages damaged bases via competing interaction modes
hNEIL1 (human endonuclease VIII-like 1) is a broadly specific DNA glycosylase for base excision repair. Here, the authors show that hNEIL1 can assume activated or triage conformations: the structural basis for the mechanism that enables broad specificity and reduces futile repair of normal bases.
- Menghao Liu
- , Jun Zhang
- & Chengqi Yi