Reduced-Cost Four-Component Relativistic Double Ionization Potential Equation-of-Motion Coupled-Cluster Approaches with 4-Hole--2-Particle Excitations and Three-Body ClustersThe double ionization potential (DIP) equation-of-motion (EOM) coupled-cluster (CC) method with 4-hole--2-particle (4h-2p) excitations on top of the CC with singles, doubles, and triples…Tamoghna Mukhopadhyay, Madhubani Mukherjee, Karthik Gururangan et al.·Sep 18, 2025SaveLearn
Vibrational Fingerprints of Strained Polymers: A Spectroscopic Pathway to Mechanical State PredictionThe vibrational response of polymer networks under load provides a sensitive probe of molecular deformation and a route to non-destructive diagnostics. Here we show that machine-learned force fields…Julian Konrad, Janina Mittelhaus, David M. Wilkins et al.·Sep 18, 2025SaveLearn
Tuning Molecular Motors with Tert-Butyl and Fluorinated Tert-Butyl GroupsThe effect of modifying substituents in the rotor group of five second generation molecular motors is estimated by theoretical calculations. The rotational speed is estimated by calculating the rate…Ivan Tambovtsev, Hannes Jónsson·Sep 18, 2025SaveLearn
The Quantum Method of Planes -- Local Pressure Definitions for Machine Learning PotentialsStress, or pressure, is a central quantity in engineering and remains vital in molecular modelling. However, the commonly used virial stress tensor is invalid for an inhomogeneous fluid, which is…E. R. Smith·Sep 17, 2025SaveLearn
Excimer-Suppressed and Oxygen-Tolerant Photophysics of 'Arm-like' Substituted Pyrene DerivativesPyrene-functionalized materials are extensively employed in photoluminescent applications, owing to their extended π-conjugation and favorable photophysical properties. However, their luminescent…Wenlong Li, Stephen Awuku, Jenna N. Merk et al.·Sep 17, 2025SaveLearn
Low-energy proton impact dynamics on hydrocarbons: Dependence on kinetic energy and incident siteThe dynamics of low-energy proton collisions with hydrocarbon with hydrocarbon molecules are investigated using real-time time-dependent density functional theory. Through systematic variation of…Misa Viveiros, Roy Lau, Samuel S. Taylor et al.·Sep 17, 2025SaveLearn
Teachers that teach the irrelevant: Pre-training machine learned interaction potentials with classical force fields for robust molecular dynamics simulationsMachine learned interaction potentials (MLIPs) have become a critical component of large-scale, high-quality simulations for a range of chemical and biochemical systems. Yet, despite their…Eric C. -Y. Yuan, Teresa Head-Gordon·Sep 17, 2025SaveLearn
Frozen Natural Orbitals based Equation-of-motion coupled-cluster singles, doubles and triples for Ionized, Double-Ionized, Electron Attached and Two-Electron Attached statesIn this work, we present frozen natural orbital (FNO) based implementations of equation-of-motion (EOM) coupled-cluster (CC) with singles, doubles, and triples (SDT) for ionization potential (IP),…Manisha, Prashant Uday Manohar·Sep 17, 2025SaveLearn
Resolving the Body-Order Paradox of Machine Learning Interatomic PotentialsIn many cases, the predictions of machine learning interatomic potentials (MLIPs) can be interpreted as a sum of body-ordered contributions, which is explicit when the model is directly built on…Sanggyu Chong, Tong Jiang, Michelangelo Domina et al.·Sep 17, 2025SaveLearn
Reaction dynamics of lithium-mediated electrolyte decomposition using machine learning potentialsWe study the ring-opening decomposition of ethylene carbonate in the presence of a single lithium atom and on the surface of lithium metal. Combining accurate electronic structure theory, enhanced…Sohang Kundu, Diana Chamaki, Hong-Zhou Ye et al.·Sep 17, 2025SaveLearn
Using molecular dynamics to investigate the driving force for graphene auto-kirigamiExperiments [1] have shown that auto-kirigami structures can grow on the surface of graphene because the graphene-graphene adhesion energy is greater than the graphene-substrate interaction. In this…Charlie M. Rawlins, Gareth A. Tribello·Sep 17, 2025SaveLearn
Modelling Carbon Coated Silicon Anodes for Lithium-Ion Batteries and the Influence of Contact Area on Rate PerformanceSilicon is a promising anode material for next-generation lithium-ion batteries due to its exceptionally high specific capacity (3600 mAh g-1), significantly exceeding that of conventional…D Sugunan, Y Jiang, J Guo et al.·Sep 17, 2025SaveLearn
A Reusable Library for Second-Order Orbital Optimization Using the Trust Region MethodWe present a reusable, open-source software implementation of the second-order trust region algorithm in the new OpenTrustRegion library. We apply the implementation to the general-purpose…Jonas Greiner, Ida-Marie Høyvik, Susi Lehtola et al.·Sep 17, 2025SaveLearn
Motional representation; the ability to predict odor characters using molecular vibrationsThe prediction of odor characters is still impossible based on the odorant molecular structure. We designed a CNN-based regressor for computed parameters in molecular vibrations (CNN\vib), in order…Yuki Harada, Shuichi Maeda, Junwei Shen et al.·Sep 17, 2025SaveLearn
Ion-modulated structure, proton transfer, and capacitance in the Pt(111)/water electric double layerThe electric double layer (EDL) governs electrocatalysis, energy conversion, and storage, yet its atomic structure, capacitance, and reactivity remain elusive. Here we introduce a machine learning…Xiaoyu Wang, Junmin Chen, Zezhu Zeng et al.·Sep 17, 2025SaveLearn
Evolution of surfactant-free 'pristine' emulsionsThe term pristine interface was introduced by Beattie and Djerdjev 20 years ago for emulsions that consist of only water and oil with no surfactant. They are different from Pickering emulsions, which…Andrei Dukhin, Renliang Xu, Darrell Velegol·Sep 16, 2025SaveLearn
Exact mid-IR quantum vibrational spectra of neutral water clustersWe use selected configuration interaction to calculate the zero-temperature mid-infrared (2800-3800 cm-1) vibrational spectra of a water monomer, dimer, trimer, and hexamer in its cage and prism…Henry K. Tran, Timothy C. Berkelbach·Sep 16, 2025SaveLearn
Formalizing dimensional analysis using the Lean theorem proverDimensional analysis is fundamental to the formulation and validation of physical laws, ensuring that equations are dimensionally homogeneous and scientifically meaningful. In this work, we use Lean…Maxwell P. Bobbin, Colin Jones, John Velkey et al.·Sep 16, 2025SaveLearn
Attosecond-resolved probing of recolliding electron wave packets in liquids and aqueous solutionsHigh-harmonic spectroscopy (HHS) in liquids promises real-time access to ultrafast electronic dynamics in the native environment of chemical and biological processes. While electron recollision has…Angana Mondal, Nicolas Tancogne-Dejean, George Trenins et al.·Sep 16, 2025SaveLearn
Pressure dependent structure of neat liquid methanol, CH3OH: molecular dynamics simulations with various united atom type potentialsMolecular dynamics computer simulations have been conducted on neat liquid methanol, using three different united atom (three site) interatomic potentials: TraPPE [J. Phys. Chem. B 105, 3093 (2001)],…Imre Bakó, László Pusztai, Orest Pizio·Sep 16, 2025SaveLearn
Extension of the Jordan-Wigner mapping to nonorthogonal spin orbitals for quantum computing application to valence bond approachesQuantum computing offers a promising platform to address the computational challenges inherent in quantum chemistry, and particularly in valence bond (VB) methods, which are chemically appealing but…Alessia Marruzzo, Mosè Casalegno, Piero Macchi et al.·Sep 16, 2025SaveLearn
Oxygen vacancy formation in ZnSeTe blue quantum dot light-emitting diodesRecent advancements have led to the development of bright and heavy metal-free blue-emitting quantum dot light-emitting diodes (QLEDs). However, consensus understanding of their distinct…Shaun Tan, Sujin Park, Seung-Gu Choi et al.·Sep 16, 2025SaveLearn
Atomic Radial Correlation Energy Density ComponentsThe components of the radial correlation energy density are calculated and analyzed for the atoms from He to Ar. The components include the nucleus-electron potential correlation energy density, the…Ibrahim E. Awad, Abd Al-Aziz A. Abu-Saleh, Gurleen Cheema et al.·Sep 16, 2025SaveLearn
Swarm Intelligence for Chemical Reaction OptimisationChemical reaction optimisation is essential for synthetic chemistry and pharmaceutical development, demanding the extensive exploration of many reaction parameters to achieve efficient and…Rémi Schlama, Joshua W. Sin, Ryan P. Burwood et al.·Sep 15, 2025SaveLearn
Cluster Models for Next-Generation, Machine-Learning-Based Energy Functions for Molecular SimulationsEnergy functions for pure and heterogenous systems are one of the backbones for molecular simulation of condensed phase systems. With the advent of machine learned potential energy surfaces (ML-PESs)…JingChun Wang, Meenu Upadhyay, Eric D. Boittier et al.·Sep 15, 2025SaveLearn