WTMAD-4: A Fair Weighting Scheme for GMTKN55The GMTKN55 data set is a collection of standard benchmarks used in molecular quantum chemistry that spans small- and large-molecule thermochemistry, reaction barriers, and non-covalent interactions.…Kyle R. Bryenton, Erin R. Johnson·Dec 9, 2025SaveLearn
Modified Marrone-Treanor model: parameterization and benchmarking for five-species airWe present updated parameters for five-species air (N2, O2, NO, N and O) reactions to be used with the Modified Marrone-Treanor two-temperature model. The vibrational relaxation and chemical reaction…Erik Torres, Thomas Gross, Graham V. Candler et al.·Dec 9, 2025SaveLearn
Ab initio study of highly charged ion-induced Coulomb explosion imagingWe present a theoretical investigation of ion-induced Coulomb explosion imaging (CEI) of pyridazine molecules driven by energetic C5+ projectiles, using time-dependent density-functional theory…Misa Viveiros, Samuel S. Taylor, Cody Covington et al.·Dec 8, 2025SaveLearn
One-Body Properties and Their Perturbative Accuracy with Aufbau Suppressed Coupled Cluster TheoryWe derived and implemented the calculation of the one-body reduced density matrix for Aufbau suppressed coupled cluster theory, from which excited state natural orbitals and one-body properties, like…Conor Bready, Harrison Tuckman, Eric Neuscamman·Dec 8, 2025SaveLearn
Mapping Still Matters: Coarse-Graining with Machine Learning PotentialsCoarse-grained (CG) modeling enables molecular simulations to reach time and length scales inaccessible to fully atomistic methods. For classical CG models, the choice of mapping, that is, how atoms…Franz Görlich, Julija Zavadlav·Dec 8, 2025SaveLearn
Modular Construction of Jastrow Factors for the Transcorrelated MethodIn this work, we explore the reuse of terms in the Jastrow factor between systems for use in the transcorrelated method, to reduce the number of optimisable parameters for a given system. In…J. Philip Haupt, Maria-Andreea Filip, Evelin Martine Corvid Christlmaier et al.·Dec 8, 2025SaveLearn
An effective bath state approach to model infrared spectroscopy and intramolecular dynamics in complex moleculesWhen a molecule contains more than a few atoms, its full-dimensional dynamics becomes untractable, especially when introducing temperature effects. In such a case, it can be interesting to focus only…Loïse Attal, Cyril Falvo, Pascal Parneix·Dec 8, 2025SaveLearn
Generalization of Long-Range Machine Learning Potentials in Complex Chemical SpacesThe vastness of chemical space makes generalization a central challenge in the development of machine learning interatomic potentials (MLIPs). While MLIPs could enable large-scale atomistic…Michal Sanocki, Julija Zavadlav·Dec 8, 2025SaveLearn
Two-dimensional RMSD projections for reaction path visualization and validationTransition state or minimum energy path finding methods constitute a routine component of the computational chemistry toolkit. Standard analysis involves trajectories conventionally plotted in terms…Rohit Goswami·Dec 8, 2025SaveLearn
Unitary Coupled-Cluster based Self-Consistent Electron Propagator Theory for Electron-Detached and Electron-Attached States: A Quadratic Unitary Coupled-Cluster Singles and Doubles Method and Benchmark CalculationsA unitary coupled-cluster (UCC)-based self-consistent electron propagator theory (EPT) is proposed for the description of electron-detached and electron-attached states. Two practical schemes, termed…Yu Zhang, Junzi Liu·Dec 8, 2025SaveLearn
XMCQDPT2-Fidelity Transfer-Learning Potentials and a Wavepacket Oscillation Model with Power-Law Decay for Ultrafast PhotodynamicsA central pursuit in theoretical chemistry is the accurate simulation of photochemical reactions, which are governed by nonadiabatic transitions through conical intersections. Machine learning has…Ivan V. Dudakov, Pavel M. Radzikovitsky, Dmitry S. Popov et al.·Dec 8, 2025SaveLearn
ExPUFFIN: Thermodynamic Consistent Viscosity Prediction in an Extended Path-Unifying Feed-Forward Interfaced NetworkAccurate prediction of liquid viscosity is essential for process design and simulation, yet remains challenging for novel molecules. Conventional group-contribution models struggle with isomer…Carine Menezes Rebello, Ulderico Di Caprio, Jenny Steen-Hansen et al.·Dec 7, 2025SaveLearn
Synchronous Differential Hot-charge Emission Spectroscopy: The PrincipleEnergy-level alignment (ELA) at buried interfaces between electrode and molecular materials sets charge injection barriers, carrier selectivity, and ultimately device efficiency, yet it is…Xuan Ji, Wen Chen, Xi Yu·Dec 7, 2025SaveLearn
Why are diffuse atomic orbitals needed for accurate electronic wave functions of even neutral molecules?An accurate description of electron correlation energies in molecules requires either basis set extrapolation or the use of explicitly-correlated wave functions that address the deficiencies of…Samuel R. Powell, Edward F. Valeev·Dec 5, 2025SaveLearn
Synergistic Computational Approaches for Accelerated Drug Discovery: Integrating Quantum Mechanics, Statistical Thermodynamics, and Quantum ComputingAccurately predicting protein-ligand binding free energies (BFEs) remains a central challenge in drug discovery, particularly because the most reliable methods, such as free energy perturbation…Farzad Molani, Art E. Cho·Dec 5, 2025SaveLearn
Enhanced quantum transport in bilayer two-dimensional materialsTwo-dimensional (2D) materials have been proposed, among many other applications, as a efficient tool for the separation of atomic and molecular species and their corresponding isotopes, given the…José Campos-Martínez, Marta I. Hernández·Dec 5, 2025SaveLearn
On the role of nuclear quantum effects on the stability of peptidesNuclear quantum effects (NQEs) arising from the light mass of hydrogen can influence the structure and stability of hydrogen-bonded biomolecules, yet their role in determining peptide and protein…Jing Shen, Ming-Zheng Du, Dong H. Zhang et al.·Dec 5, 2025SaveLearn
Comparing the latent features of universal machine-learning interatomic potentialsThe past few years have seen the development of ``universal'' machine-learning interatomic potentials (uMLIPs) capable of approximating the ground-state potential energy surface across a wide range…Sofiia Chorna, Davide Tisi, Cesare Malosso et al.·Dec 5, 2025SaveLearn
Measurement and assignment of E-symmetry states in the 6010-6110 cm-1 and 8940-9150 cm-1 ranges of methane using optical frequency comb double-resonance spectroscopyWe use sub-Doppler optical-optical double-resonance (OODR) spectroscopy with a 3.3 μm single-frequency pump and a cavity-enhanced 1.65 μm comb probe to measure 33 ladder-type…Adrian Hjältén, Vinicius Silva de Oliveira, Michael Rey et al.·Dec 5, 2025SaveLearn
Characteristics of mono-, di-, and trivalent cations in electric double layers: a molecular dynamic investigationIonic behaviors, including ion distributions and hydration characteristics at solid-liquid interfaces, are important research interests in many important applications, such as electric double-layer…Bowen Ai, Zekun Gong, Long Ma et al.·Dec 5, 2025SaveLearn
Modulation of Electroosmotic Flow through Short Nanopores by Charged Exterior SurfacesElectroosmotic flow (EOF) through nanoporous membranes has broad applications in micro- and nanofluidic systems, particularly in biomedical diagnostics and chemical analysis. The use of short…Chao Zhang, Xiaomei Zhang, Hongwen Zhang et al.·Dec 5, 2025SaveLearn
Modulation of Ionic Current Rectification in Short Unipolar NanoporesWith controlled ionic current rectification (ICR) achieved through a strategically designed non-uniform surface charge distribution, short unipolar nanopores exhibit promising applications in…Hongwen Zhang, Long Ma, Di Liu et al.·Dec 5, 2025SaveLearn
Spin Polarization from Circularly Polarized Light Induced Charge TransferWe show how a spin polarization can be generated through the photo-induced electron transfer of an achiral donor-acceptor complex following chiral light excitation. In particular, we illustrate the…Sindhana Pannir-Sivajothi, David T. Limmer·Dec 5, 2025SaveLearn
Nested State and Degradation Estimation of a Satellite Battery with In-flight DataLi-ion batteries are essential for the energy supply of satellites. The accurate estimation of their states is important for the reliable and safe operation in space. This paper introduces a new…Linda Bolay, Omar Mendoza-Hernandez, Eiji Hosono et al.·Dec 4, 2025SaveLearn
Fate of amine-based selenenyl sulfides during interaction with glutathione reductase: a molecular dynamics perspectiveIn the search for small organoselenium-based mimics of the glutathione peroxidase (GPx) enzyme, it has been observed that selenenyl sulfides (RSeSG) derived from amine-based GPx mimics have the…Vishnu Rama Chari, Raghu Nath Behera·Dec 4, 2025SaveLearn