An orthogonal electronic state view on charge delocalization and transferWe present a configuration interaction (CI) framework which serves quantitative and conceptual purposes for charge delocalization and electron transfer processes in molecular systems. The electronic…Sarai Dery Folkestad, Ida-Marie Høyvik·Sep 8, 2025SaveLearn
Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplingsExcited-state gradients and derivative couplings are critical for simulating excited-state dynamics. However, their calculations are very expensive within the coupled-cluster framework due to the…Chongxiao Zhao, Chenyang Li, Wenjie Dou·Sep 8, 2025SaveLearn
A large language model system for the field of chemical engineering technologyThe development of chemical engineering technology is a multi-stage process that encompasses laboratory research, scaling up, and industrial deployment. This process demands interdisciplinary col…Heng Zhang, Jibin Zhou, Feiyang Xu et al.·Sep 8, 2025SaveLearn
Anomalous Magnetoresistance beyond the Julli\`ere Model for Spin Selectivity in Chiral MoleculesThe issue of anomalous high magnetoresistance, beyond the Julli\`ere model, observed in nonmagnetic electrode-chiral molecular-ferromagnetic electrode devices has puzzled the community for a long…Tian-Yi Zhang, Yue Mao, Peng-Yi Liu et al.·Sep 6, 2025SaveLearn
Exponential convergence of the local diabatic representation for nonadiabatic modelsThe discrete variable local diabatic representation (LDR) provides a divergence-free framework for exact conical intersection dynamics simulation. In this work, we investigate the convergence with…Mo Sha, Bing Gu·Sep 6, 2025SaveLearn
A computationally efficient subspace harmonic relaxation algorithm for coarse-graining of molecular systems with nearly exact thermodynamic consistencyIn a recent paper, J. Chem. Phys. 162, 214101 (2025), a novel approach for the rigidification of a molecular cluster was proposed, in which starting with an all-atom (AA) potential, a coarse-grained…João V. M. Pimentel, Vladimir A. Mandelshtam·Sep 5, 2025SaveLearn
Analysis of fourth-, fifth-, and infinite-order triple excitations in unitary coupled cluster theoryIn this work, we introduce a correction to the unitary coupled cluster method with single and double excitations (UCCSD) that incorporates the effects of missing triple excitations through a…Zachary W. Windom, Daniel Claudino·Sep 5, 2025SaveLearn
Tracking photophysical relaxation in spiropyran with simulated time-resolved X-ray absorption spectroscopySpiropyran is a prototype photoswitch that undergoes photoinduced ring-opening via C-O bond fission. The quantum yield for this photochemical reaction is low, with photophysical relaxation being the…Lina Fransén, Benjamin Roux, Sonia Coriani et al.·Sep 5, 2025SaveLearn
Kinetics of Barrier Crossing Events from Temperature Accelerated Sliced Sampling SimulationsTemperature-accelerated sliced sampling (TASS) is a well-established enhanced sampling method that facilitates exhaustive exploration of high-dimensional collective variable (CV) space through…Sameer Saurav, Debjit Das, Ramsha Javed et al.·Sep 5, 2025SaveLearn
Modelling and Simulation of an Alkaline Ni/Zn CellNickel/zinc (Ni/Zn) technology is a promising post-lithium battery type for stationary applications with respect to aspects such as safety, environmental compatibility and resource availability.…Felix K. Schwab, Britta Doppl, Niklas J. Herrmann et al.·Sep 5, 2025SaveLearn
Hierarchical Equations of Motion Solved with the Multiconfigurational Ehrenfest AnsatzBeing a numerically exact method for the simulation of dynamics in open quantum systems, the hierarchical equations of motion (HEOM) still suffers from the curse of dimensionality. In this study, we…Zhecun Shi, Huiqiang Zhou, Lei Huang et al.·Sep 5, 2025SaveLearn
Low-rank matrix and tensor approximations for compression of machine-learning interatomic potentialsMachine-learning interatomic potentials (MLIPs) have become a mainstay in computationally-guided materials science, surpassing traditional force fields due to their flexible functional form and…Igor Vorotnikov, Fedor Romashov, Nikita Rybin et al.·Sep 4, 2025SaveLearn
Multi-Spectroscopic Method to Quantify Rapid Decomposition of an Organophosphate Simulant Using Reactive Materials as a Function of Metal Powder Chemistry and TemperatureThe development of advanced diagnostic systems to measure and optimize emerging energetic material performance is critical for the defeat of Chemical Warfare Agents (CWA). This study presents an…Preetom Borah, Elif Irem Senyurt, Rohit Berlia et al.·Sep 4, 2025SaveLearn
The MolecularWeb Universe: Web-Based, Immersive, Multiuser Molecular Graphics And Modeling, for Education and Work in Chemistry, Structural Biology, and Materials SciencesMolecular visualization software has long supported research and education in chemical and structural sciences, but consumer devices constrained to 2D inputs and outputs pose two major challenges:…Luciano A. Abriata·Sep 4, 2025SaveLearn
Spin-to-charge conversion driven by inverse chiral-induced spin selectivityChiral molecules have attracted significant multidisciplinary interest and extensive research owing to their remarkable ability to achieve charge-to-spin conversion, known as the chiral-induced spin…Tian-Yi Zhang, Peng-Yi Liu, Ai-Min Guo et al.·Sep 4, 2025SaveLearn
Spin-to-charge conversion modulated by chiral moleculesMolecular chirality and electron spin are intricately intertwined via the fascinating phenomenon of chiral-induced spin selectivity (CISS), which has garnered considerable attention due to its…Peng-Yi Liu, Tian-Yi Zhang, Ai-Min Guo et al.·Sep 4, 2025SaveLearn
Dynamical theory of chiral-induced spin selectivity in electron donor-chiral molecule-acceptor systemsThe chiral-induced spin selectivity (CISS) effect, a phenomenon where the chirality of molecules imparts significant spin selectivity to electron transfer processes, has garnered increasing interest…Tian-Yi Zhang, Yue Mao, Ai-Min Guo et al.·Sep 4, 2025SaveLearn
Dynamical simulation of chiral induced spin-polarization and magnetizationDespite generally lacking ferromagnetic properties or strong spin-orbit coupling, electrons in chiral molecules exhibit unique spin-dependent transport behavior, known as chiral-induced spin…Peng-Yi Liu, Tian-Yi Zhang, Qing-Feng Sun·Sep 4, 2025SaveLearn
Excitonic description of singlet fission beyond dimer model : a matrix product state approachThe importance of singlet fission as a fundamental process with a variety of implications in energy harvesting cannot be overstated. The challenge is in characterizing the energy states of these…Supriyo Santra, Amartya Bose, Debashree Ghosh·Sep 4, 2025SaveLearn
WaveMixings.jl: a Julia package for performing on-the-fly time-resolved nonlinear electronic spectra from quasi-classical trajectoriesWe present an efficient numerical implementation of the quasi-classical doorway-window approximation, specifically designed for on-the-fly simulations of time-resolved nonlinear spectroscopic signals…Luis Vasquez, Sebastian Pios, Lipeng Chen et al.·Sep 4, 2025SaveLearn
Exploiting correlations in multi-coincidence Coulomb explosion patterns for differentiating molecular structures using machine learningCoulomb explosion imaging (CEI) is a powerful technique for capturing the real-time motion of individual atoms during ultrafast photochemical reactions. CEI generates high-dimensional data with…Anbu Selvam Venkatachalam, Loren Greenman, Joshua Stallbaumer et al.·Sep 3, 2025SaveLearn
A perturbative triples correction to relativistic Quadratic Unitary Coupled Cluster Method: Theory, Implementation and BenchmarkingWe present a perturbative triples correction to the relativistic quadratic unitary coupled cluster singles and doubles (qUCCSD) method, denoted as qUCCSD[T]. The method builds upon the Hermitian…Kamal Majee, Ján Šimunek, Jozef Noga et al.·Sep 3, 2025SaveLearn
Physics-informed machine learning for combustion: A reviewPhysics-informed machine learning (PIML) represents an emerging paradigm that integrates various forms of physical knowledge into machine learning (ML) components, thereby enhancing the physical…Jiahao Wu, Xutun Wang, Guihua Zhang et al.·Sep 3, 2025SaveLearn
Universal Approach for Determining Multi-Dimensional Anharmonic Vibrations from Electronic Quantum MethodsWe present a simple and efficient method to incorporate anharmonic effects in the vibrational blackanalyses of molecules within density functional theory (DFT) calculations. This…Kushantha P. K. Withanage, Jesús Pedroza-Montero, M. F. Islam et al.·Sep 3, 2025SaveLearn
Electrode Potential Dependent Differential Capacitance in Electrocatalysis: a Novel, Ab Initio Computational ApproachAs interest in nanomaterials grows, ab initio simulations play a crucial role in designing electrochemical catalysts. Electrochemical reactions depend on electrode potential, highlighting the…Márton Guba, Tibor Höltzl·Sep 2, 2025SaveLearn