Unified MPI Parallelization of Wave Function Methods: iCIPT2 as a ShowcaseThe integration of quantum chemical methods with high-performance computing is indispensable for handling large systems with modest accuracy or even small systems but with high accuracy. Continuing…Qingpeng Wang, Ning Zhang, Wenjian Liu·Feb 4, 2026SaveLearn
UGA-SSMRPT2 -- A Multireference Perturbation Theory Predicting Accurate Electronic Excitation Energies in Diverse Molecular SystemsUGA-SSMRPT2, the spin-free perturbative analogue of Mukerjee's State-Specific Multireference Coupled Cluster Theory (MkMRCC) is known to be successful for size-extensive and intruder-free…Shamik Chanda, Pratyush Bhattacharjya, Avijit Sen et al.·Feb 4, 2026SaveLearn
Probing the structure of cyclic hydrocarbon molecules with X-ray-induced Coulomb explosion imagingCoulomb explosion imaging (CEI) is a powerful experimental technique that maps a molecule's geometric structure onto the momenta of ionic molecular fragments produced by rapid multiple ionization.…Kurtis D. Borne, Rebecca Boll, Thomas M. Baumann et al.·Feb 4, 2026SaveLearn
Rethinking Balance Sheets: A Poisson-Nernst-Planck Based Approach for Modeling Concentration and Flux Profiles Inside an Electrochemical CellElectrochemical cells serve as a building block for producing and storing electrical energy from chemical reactions. The analysis of ion transport in these systems forms the foundation for…Grace Origer, Ritu R. Raj, Nathan Jarvey et al.·Feb 3, 2026SaveLearn
Impact of Local Descriptors Derived from Machine Learning Potentials in Graph Neural Networks for Molecular Property PredictionIn this study, we present a framework aimed at enhancing molecular property prediction through the integration of local descriptors obtained from large-scale pretrained machine learning potentials…Ryoichi Uchiyama, Yuya Nakajima, Yuta Tanaka et al.·Feb 3, 2026SaveLearn
FragmentFlow: Scalable Transition State Generation for Large MoleculesTransition states (TSs) are central to understanding and quantitatively predicting chemical reactivity and reaction mechanisms. Although traditional TS generation methods are computationally…Ron Shprints, Peter Holderrieth, Juno Nam et al.·Feb 2, 2026SaveLearn
Correlation between 2D Square Ice and 3D Bulk Ice by Critical Crystallization PressureLow-dimensional ice trapped in nanocapillaries is a fascinating phenomenon and is ubiquitous in our daily lives. As a decisive factor of the confinement effect, the size of nanocapillary…Zhen Zeng, Kai Sun, Rui Chen et al.·Feb 2, 2026SaveLearn
Time-Dependent Relativistic Two-Component Equation-of-Motion Coupled-Cluster for Open-Shell Systems: TD-EA/IP-EOMCCWe present a combined imaginary-time/real-time time-dependent (TD) approach for evaluating linear absorption spectra of open-shell systems at the electron attachment (EA) and ionization potential…P. D. Varuna S. Pathirage, Stephen H. Yuwono, Xiaosong Li et al.·Feb 1, 2026SaveLearn
Mirror Symmetry of the NMR Spectrum and the Connection with the Structure of Spin Hamiltonian Matrix RepresentationsThis work provides a comprehensive theoretical framework for understanding the symmetry properties of High-Resolution NMR spectra. We analyze the conditions under which a spectrum exhibits mirror…Dmitry A. Cheshkov, Dmitry O. Sinitsyn·Jan 31, 2026SaveLearn
The nuclear electric quadrupole moment of 87Sr from highly accurate molecular relativistic calculationsThe nuclear electric quadrupole moment (NQM) of 87Sr has recently been revisited using high-precision relativistic atomic calculations [B. Lu et al., Phys. Rev. A 100, 012504 (2019)], indicating…Gabriele Fabbro, Jan Brandejs, Trond Saue·Jan 31, 2026SaveLearn
Predicting the hydrogen bond strength from water reorientation dynamics at short timescalesPath-integral molecular dynamics simulations and electronic structure-based energy decomposition analysis (EDA) are employed to connect hydrogen bond (H-bond) strength, its asymmetry, and the total…Frederik Zysk, Ana Vila Verde, Naveen K. Kaliannan et al.·Jan 30, 2026SaveLearn
Leveraging configuration interaction singles for qualitative descriptions of ground and excited states: state-averaging, linear-response, and spin-projectionWhile configuration interaction singles (CIS) provides a computationally efficient description of excited states, it systematically overestimates excitation energies and performs poorly for strongly…Takashi Tsuchimochi, Benjamin Mokhtar·Jan 30, 2026SaveLearn
ThermoLIB -- A Python Library for Constructing and Post-Processing Free Energy Surfaces to Extract Thermodynamic and Kinetic PropertiesThermoLIB is Python/Cython library designed to be used as a post-processing tool for constructing free energy surfaces from the output of molecular simulations, transforming them between different…Massimo Bocus, Louis Vanduyfhuys·Jan 30, 2026SaveLearn
Femtosecond Nonadiabatic Confinement of Molecular Dication YieldDoubly charged molecular cations often carry signatures of electronic correlation and electron-nuclear entanglement present in the parent cation. Here, we produce ethylene dications using a…Carlos Marante, Lina Fransén, Alexie Boyer et al.·Jan 30, 2026SaveLearn
A Cross-Domain Graph Learning Protocol for Single-Step Molecular Geometry RefinementAccurate molecular geometries are a prerequisite for reliable quantum-chemical predictions, yet density functional theory (DFT) optimization remains a major bottleneck for high-throughput molecular…Chengchun Liu, Wendi Cai, Boxuan Zhao et al.·Jan 30, 2026SaveLearn
Large Language Model Agent for User-friendly Chemical Process SimulationsModern process simulators enable detailed process design, simulation, and optimization; however, constructing and interpreting simulations is time-consuming and requires expert knowledge. This limits…Jingkang Liang, Niklas Groll, Gürkan Sin·Jan 30, 2026SaveLearn
Effect of Nanopore Wall Geometry on Electrical Double-Layer Charging DynamicsConfinement strongly influences electrochemical systems, where structural control has enabled advances in nanofluidics, sensing, and energy storage. In electric double-layer capacitors (EDLCs), or…Bryce Rives, Filipe Henrique, Pawel Zuk et al.·Jan 29, 2026SaveLearn
Molecular structure, binding, and disorder in TDBC-Ag plexcitonic assembliesPlexcitonic assemblies are hybrid materials composed of a plasmonic nanoparticle and molecular or semiconducting emitters whose electronic transitions are strongly coupled to the plasmonic mode. This…J. Baños-Gutiérrez, R. Bercy, Y. García Jomaso et al.·Jan 29, 2026SaveLearn
Excited-State Intramolecular Proton Transfer and Competing Pathways in 3-Hydroxychromone: A Non-adiabatic Dynamics StudyExcited-state intramolecular proton transfer (ESIPT) is a fundamental photochemical process in which photoexcitation induces proton transfer within a molecule, leading to the formation of a…Alessandro Nicola Nardi, Morgane Vacher·Jan 29, 2026SaveLearn
Third and fourth density and acoustic virial coefficients of neon from first-principles calculationsThe third and fourth density and acoustic virial coefficients of neon were determined at temperatures between 10 and 5000 K from first principles employing the path-integral Monte Carlo (PIMC)…Robert Hellmann, Giovanni Garberoglio·Jan 29, 2026SaveLearn
A Deterministic Framework for Neural Network Quantum States in Quantum ChemistryWe present a deterministic optimization framework for Neural Network Quantum States (NQS) designed to bypass the sampling variance and slow mixing issues inherent in stochastic optimization. By…Zheng Che·Jan 29, 2026SaveLearn
Accurate Thermophysical Properties of Water using Machine-Learned PotentialsSimulating water from first principles remains a significant computational challenge due to the slow dynamics of the underlying system. Although machine-learned interatomic potentials (MLPs) can…Tobias Hilpert, Georg Kresse·Jan 28, 2026SaveLearn
Better without U: Impact of Selective Hubbard U Correction on Foundational MLIPsThe training of foundational machine learning interatomic potentials (fMLIPs) relies on diverse databases with energies and forces calculated using ab initio methods. We show that fMLIPs trained on…Thomas Warford, Fabian L. Thiemann, Gábor Csányi·Jan 28, 2026SaveLearn
StochasticGW-GPU: rapid quasi-particle energies for molecules beyond 10000 atomsStochasticGW is a code for computing accurate Quasi-Particle (QP) energies of molecules and material systems in the GW approximation. StochasticGW utilizes the stochastic…Phillip S. Thomas, Minh Nguyen, Dimitri Bazile et al.·Jan 28, 2026SaveLearn
First-Principle-Inspired Reduced-Order Models of Chemical-Kinetics in H2(X1g+)+H(2S) SystemIn the present study, two-different reduced-order models are proposed for H2(X1g+)+H(2S) system by leveraging first-principle…Hye Su Jeong, Tae Woong Jeong, Sung Min Jo·Jan 28, 2026SaveLearn