X2C Hamiltonian Models in ReSpect: Bridging Accuracy and EfficiencySince its inception, the ReSpect program has been evolving to provide powerful tools for simulating spectroscopic processes and exploring emerging research areas, all while incorporating relativistic…Michal Repisky, Stanislav Komorovsky, Lukas Konecny et al.·May 2, 2025SaveLearn
Effect of Protein Environment on the Shape Resonances of RNA Nucleobases: Insights From a Model SystemIn this work, the effect of amino acid environment on the nucleobase-centered anion radical shape resonances is investigated by employing uracil as a model system for pyrimidine base in RNA. Anionic…Sneha Arora, Jishnu Narayanan S J, Idan Haritan et al.·May 2, 2025SaveLearn
Understanding and improving transferability in machine-learned activation energy predictorsThe calculation of reactive properties is a challenging task in chemical reaction discovery. Machine learning (ML) methods play an important role in accelerating electronic structure predictions of…Joe Gilkes, Mark Storr, Reinhard J. Maurer et al.·May 1, 2025SaveLearn
An evaluation of unconditional 3D molecular generation methodsUnconditional molecular generation is a stepping stone for conditional molecular generation, which is important in de novo drug design. Recent unconditional 3D molecular generation methods…Martin Buttenschoen, Yael Ziv, Garrett M. Morris et al.·May 1, 2025SaveLearn
Relativistic Two-component Double Ionization Potential Equation-of-Motion Coupled Cluster with the Dirac--Coulomb--Breit HamiltonianWe have implemented relativistic formulations of DIP-EOMCCSD and DIP-EOMCCSDT within the 1eX2C and DC-, DCG-, and DCB-X2C frameworks. Direct comparisons against full 4c-DIP-EOMCCSD calculations show…Run R. Li, Stephen H. Yuwono, Marcus D. Liebenthal et al.·May 1, 2025SaveLearn
A probabilistic approach to system-environment couplingWe introduce a unified statistical framework for quantifying system-environment coupling by treating the interaction energy VSE as a stochastic variable. Using a reference-particle…Mohammad Rahbar, Christopher J. Stein·Apr 30, 2025SaveLearn
Enhanced Biogas Production via Anaerobic Co-Digestion of Slaughterhouse and Food Waste Using Ferric Oxide as a Sustainable Conductive MaterialThe anaerobic co-digestion of slaughterhouse wastewater and food waste offers a sustainable approach to waste treatment and biogas production. However, limited literature was found on the study of…Michelle C. Almendrala, Kyle Adrienne T. Valenzuela, Steffany Marie Nina B. Santos et al.·Apr 30, 2025SaveLearn
Rovibrational computation of H3+ with permutationally invariant Pekeris coordinatesThe Pekeris coordinates provide a permutationally invariant set of coordinates for H3+. They are defined as linear combinations of the three internuclear distances that automatically fulfil the…Gustavo Avila, Edit Mátyus·Apr 30, 2025SaveLearn
Reducing Weighted Ensemble Variance With Optimal Trajectory ManagementWeighted ensemble (WE) is an enhanced path-sampling method that is conceptually simple, widely applicable, and statistically exact. In a WE simulation, an ensemble of trajectories is periodically…Won Hee Ryu, John D. Russo, Mats S. Johnson et al.·Apr 30, 2025SaveLearn
Effect of eccentric mixing parameters on chaotic characteristics and mixing time for viscous liquid based on sound decibelsEccentric mixing is a typical chaotic mixing method, and the study of its mixing characteristics is beneficial to the optimization of the mixing process. In this study, the effects of eccentricity…Ronfgang Wang, Lijun Zhao, Yunshi Yao·Apr 30, 2025SaveLearn
Imperfect diffusion-controlled reactions on a torus and on a pair of ballsWe employ a general spectral approach based on the Steklov eigenbasis to describe imperfect diffusion-controlled reactions on bounded reactive targets in three dimensions. The steady-state…Denis S. Grebenkov·Apr 30, 2025SaveLearn
Systematically improved potential energy surfaces via sinNN models and sparse grid samplingAccurate, global Potential Energy Surfaces (PES) expressed in sum-of-products (SOP) form are a prerequisite for efficient high-dimensional quantum dynamics simulations using the MCTDH method. This…Antoine Aerts·Apr 30, 2025SaveLearn
Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic SimulationAccurate simulation of atomic systems has the potential to revolutionize the design of molecules and materials. Unfortunately, exact solutions of the Schr\"odinger equation scale as O(N!) and remain…Elias L. Mann, Corin C. Wagen, Jonathon E. Vandezande et al.·Apr 29, 2025SaveLearn
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework without DataCoarse-grained (CG) models provide an effective route to reducing the complexity of molecular simulations (MD), but conventional approaches depend heavily on long all-atom MD trajectories to…Maximilian Stupp, P. S. Koutsourelakis·Apr 29, 2025SaveLearn
AI-enhanced High Resolution Functional Imaging Reveals Trap States and Charge Carrier Recombination Pathways in PerovskiteUnderstanding and controlling charge carrier recombination dynamics is essential for enhancing the performance of metal halide perovskite optoelectronic devices. In this study, we present a machine…Qi Shi, Tönu Pullerits·Apr 29, 2025SaveLearn
Quantum Signature of Anisotropic Singularities in Hydrogen Bond Breaking of Water DimerIn all standard force field-based simulations of organic, bio-molecules, polymers; the torsion angle based Hamiltonian has been an indispensable term to set up molecular simulation. Torsion often…Md Rejwan Ali·Apr 29, 2025SaveLearn
Simulating metal complex formation and dynamics in aqueous solutions: Insights into stability, mechanism, and rates of ligand exchangeMetal coordination is ubiquitous in Nature and central in many applications ranging from nanotechnology to catalysis and environmental chemistry. Complex formation results from the subtle interplay…Luca Sagresti, Luca Benedetti, Kenneth M. Merz et al.·Apr 29, 2025SaveLearn
Cavity Field-Driven Symmetry Breaking and Modulation of Vibrational Properties: Insights from the Analytical QED-HF HessianIn this work, we present the analytical derivation and implementation of the quantum electrodynamics Hartree-Fock Hessian. We investigate how electronic strong coupling influences molecular…Alberto Barlini, Andrea Bianchi, Jan Haakon Melka-Trabski et al.·Apr 29, 2025SaveLearn
Isomer-selective dissociation dynamics of 1,2-dibromoethene ionized by femtosecond-laser radiationWe study the isomer-specific photoionization and photofragmentation of 1,2- dibromoethene (DBE) under strong-field fs-laser irradiation in the gas phase complementing previous studies utilising ns-…A. Mishra, J. Kim, S. K. Kim et al.·Apr 29, 2025SaveLearn
Redox chemistry meets semiconductor defect physicsUnderstanding how the electronic structure of electrodes influences electrocatalytic reactions has been a longstanding topic in the electrochemistry community, with predominant attention paid to…Jian Gu, Jun Huang, Jun Cheng·Apr 29, 2025SaveLearn
Thin-wall Single-crystal Gold Nanoelectrodes towards Advanced Chemical Probing and ImagingThin-wall metal ultramicro- and nanoelectrodes (UMEs/NEs), especially gold NEs, are indispensable for high-resolution electrochemical microscopy, biosensing, and fundamental research. However, their…Milad Sabzehparvar, Fatemeh Kiani, Germán García Martínez et al.·Apr 28, 2025SaveLearn
Probing plexciton dynamics with higher-order spectroscopyCoupling molecular transition dipole moments to surface-plasmon polaritons (SPPs) results in the formation of new optical quasiparticles, i.e., plexcitons. Mixing the specific properties of matter…Simon Büttner, Luca Nils Philipp, Julian Lüttig et al.·Apr 28, 2025SaveLearn
Relativistic Two-Electron Contributions within Exact Two-Component TheoryThe development of relativistic exact two-component (X2C) theory is briefly reviewed, with an emphasis on cost-effective treatments of relativistic two-electron contributions by means of model…Xubo Wang, Chaoqun Zhang, Junzi Liu et al.·Apr 28, 2025SaveLearn
Does chemistry need more physics ?In this mini-review I look into the physics underlying the theory of electronic structure of atoms and molecules. Quantum mechanics is needed to understand the structure of the periodic table.…Trond Saue·Apr 26, 2025SaveLearn
Molecular Similarity in Machine Learning of Energies in Chemical Reaction NetworksMachine learning has emerged as a powerful tool for predicting molecular properties in chemical reaction networks with reduced computational cost. However, accurately predicting energies of…Stefan Gugler, Markus Reiher·Apr 25, 2025SaveLearn