Have you tried turning it off and on again? Stochastic resetting for enhanced samplingMolecular dynamics simulations are widely used across chemistry, physics, and biology, providing quantitative insight into complex processes with atomic detail. However, their limited timescale of a…Ofir Blumer, Barak Hirshberg·Apr 8, 2025SaveLearn
Thawed Gaussian Ehrenfest dynamics at conical intersections: When can a single mean-field trajectory capture internal conversion?The thawed Gaussian Ehrenfest dynamics is a single-trajectory method that partially includes both nuclear quantum and electronically nonadiabatic effects by combining the thawed Gaussian wavepacket…Alan Scheidegger, Jiří J. L. Vaníček·Apr 8, 2025SaveLearn
Core-Excited States of Linear and Bent Uranyl Complexes: Insights from High-Energy Resolution X-ray Spectroscopy and Relativistic Quantum ChemistryAdvanced X-ray spectroscopic techniques are widely recognized as state-of-the-art tools for probing the electronic structure, bonding, and chemical environments of the heaviest elements in the…Wilken Aldair Misael, Lucia Amidani, Juliane März et al.·Apr 7, 2025SaveLearn
Defect chemistry of mixed ionic-electronic conductors under light: halide perovskites as master exampleShining light on a mixed ionic-electronic conductor induces variations in both its electronic and ionic behaviors. While optoelectronic processes in semiconductors with negligible ionic…Davide Moia, Joachim Maier·Apr 7, 2025SaveLearn
Corrosion of metal reinforcements within concrete and localisation of supporting reactions under natural conditionsCorrosion in concrete prevents in-situ observation, necessitating models to provide insight into the local reaction currents. We present a computational method for predicting corrosion rates of…T. Hageman, C. Andrade, E. Martínez-Pañeda·Apr 7, 2025SaveLearn
Benchmarking vibrational spectra: 5000 accurate eigenstates of acetonitrile using tree tensor network statesAccurate vibrational spectra are essential for understanding how molecules behave, yet their computation remains challenging and benchmark data to reliably compare different methods are sparse. Here,…Henrik R. Larsson·Apr 7, 2025SaveLearn
Global approximations to the error function of real argument for vectorized computationThe error function of real argument can be approximated to a given uniform relative accuracy by a single closed-form expression for the whole variable range either in terms of addition,…Dimitri N. Laikov·Apr 7, 2025SaveLearn
Towards ab initio Realizations of Collins' ConjectureAn ab initio approach formulated under an entropy-inspired repartitioning of the electronic Hamiltonian is presented. This ansatz produces orbital eigenvalues each shifted by entropic contributions…Abdulrahman Y. Zamani, Kevin Carter-Fenk·Apr 7, 2025SaveLearn
Pruned-ADAPT-VQE: compacting molecular ans\"atze by removing irrelevant operatorsThe adaptive derivative-assembled problem-tailored variational quantum eigensolver (ADAPT-VQE) is one of the most widely used algorithms for electronic structure calculations in quantum computers. It…Nonia Vaquero-Sabater, Abel Carreras, David Casanova·Apr 7, 2025SaveLearn
Excitation Energies from the Entanglement Coupled Cluster Model for DoubletsWe present excitation energies for molecular doublets from a spin-adapted formulation of coupled cluster singles and doubles theory. The entanglement coupled cluster approach represents an…Sarai Dery Folkestad, Kristine Lauvstad Kruken, Henrik Koch·Apr 6, 2025SaveLearn
Approximate normalizations for approximate density functionalsIt seems self-evident that a density functional calculation should be normalized to the number of electrons in the system. We present multiple examples where the accuracy of the approximate energy is…Adam Clay, Kiril Datchev, Wenlan Miao et al.·Apr 4, 2025SaveLearn
A greener process for poly-L-lactic acid production and chemical upcycling under mild conditions using highly active alkali-metal based catalystsNon-toxic potassium and sodium metal compounds have been prepared with a bulky aryloxide ligand MOR 1 y 2 as well, their counterparts containing a crown ether bonded to the alkali metal 3 y 4 and…Christian Rentero, Licia Gaeta, Miguel Palenzuela et al.·Apr 4, 2025SaveLearn
Accurate extrapolation of MP2 correlation energies for small correlation-consistent core-valence basis setsThe Atom-Calibrated Basis-set Extrapolation (ACBE) method is introduced as a robust approach for extrapolating MP2 correlation energies from small basis sets. Unlike conventional extrapolation…E. Fabiano, F. Della Sala·Apr 4, 2025SaveLearn
Symmetry Breaking as Predicted by a Phase Space Hamiltonian with a Spin Coriolis PotentialWe perform electronic structure calculations for a set of molecules with degenerate spin-dependent ground states (3CH2, 2CH3, 3O2) going beyond the Born-Oppenheimer…Nadine C. Bradbury, Titouan Duston, Zhen Tao et al.·Apr 4, 2025SaveLearn
Surface charge pattern: impact on vibrational spectroscopy and physics of charged interfacesSurface specific vibrational spectroscopies revolutionized the study of charged interfaces, by sensitively probing water's response in the electric double layer (EDL) and correlating it with surface…Wanlin Chen, Marie-Pierre Gaigeot, Simone Pezzotti·Apr 3, 2025SaveLearn
Local-density correlation functional from the force-balance equationThe force-balance equation of time-dependent density-functional theory presents a promising route towards obtaining approximate functionals, however, so far, no practical correlation functionals have…Nicolas Tancogne-Dejean, Markus Penz, Michael Ruggenthaler et al.·Apr 3, 2025SaveLearn
Super diffusive length dependent thermal conductivity in one-dimensional materials with structural defects: longitudinal to transverse phonon scattering leads to L1/3 lawStructural defects in one-dimensional heat conductors couple longitudinal (stretching) and transverse (bending) vibrations. This coupling results in the scattering of longitudinal phonons to…Alexander L. Burin·Apr 3, 2025SaveLearn
From short-sighted to far-sighted: A comparative study of recursive machine learning approaches for open quantum systemsAccurately modeling open quantum system dynamics is crucial for advancing quantum technologies, yet traditional methods struggle to balance accuracy and efficiency. Machine learning (ML) provides a…Arif Ullah·Apr 3, 2025SaveLearn
Augmenting chemical databases for atomistic machine learning by sampling conformational spaceMachine learning (ML) has become a standard tool for the exploration of chemical space. Much of the performance of such models depends on the chosen database for a given task. Here, this aspect is…Luis Itza Vazquez-Salazar, Markus Meuwly·Apr 2, 2025SaveLearn
Parameterized Attenuated Exchange for Generalized TDHF@vW ApplicationsBuilding upon our previously developed time-dependent Hartree-Fock (TDHF)@vW method, based on many-body perturbation theory and specifically the Bethe-Salpeter Equation (BSE), we introduce a…Barry Y. Li, Tim Duong, Tucker Allen et al.·Apr 2, 2025SaveLearn
Exploring the design space of machine-learning models for quantum chemistry with a fully differentiable frameworkTraditional atomistic machine learning (ML) models serve as surrogates for quantum mechanical (QM) properties, predicting quantities such as dipole moments and polarizabilities, directly from…Divya Suman, Jigyasa Nigam, Sandra Saade et al.·Apr 1, 2025SaveLearn
Spontaneous Surface Charging and Janus Nature of the Hexagonal Boron Nitride-Water InterfaceBoron, nitrogen and carbon are neighbors in the periodic table and can form strikingly similar twin structures-hexagonal boron nitride (hBN) and graphene-yet nanofluidic experiments demonstrate…Yongkang Wang, Haojian Luo, Xavier R. Advincula et al.·Apr 1, 2025SaveLearn
Silk-Nano-Fibroin Aerogels: A Bio-Derived, Amine-Rich Platform for Rapid and Reversible CO2 CaptureDespite growing interest in bio-based materials, rapid, low-temperature CO2 capture using amine-rich natural sorbents has received limited attention. In recent years, various porous solid sorbents…Md Sariful Sheikh, Lijie Guo, Qiyuan Chen et al.·Apr 1, 2025SaveLearn
"Ensemblization" of density functional theoryDensity functional theory (DFT) has transformed our ability to investigate and understand electronic ground states. In its original formulation, however, DFT is not suited to addressing (e.g.)…Tim Gould, Leeor Kronik, Stefano Pittalis·Apr 1, 2025SaveLearn
The Impact of Hydration Shell Inclusion and Chain Exclusion in the Efficacy of Reaction Coordinates for Homogeneous and Heterogeneous Ice NucleationIce nucleation plays a pivotal role in many natural and industrial processes, and molecular simulations play have proven vital in uncovering its kinetics and mechanisms. A fundamental component of…Kimia Sinaeian, Amir Haji-Akbari·Apr 1, 2025SaveLearn