Gradual Optimization Learning for Conformational Energy MinimizationMolecular conformation optimization is crucial to computer-aided drug discovery and materials design. Traditional energy minimization techniques rely on iterative optimization methods that use…Artem Tsypin, Leonid Ugadiarov, Kuzma Khrabrov et al.·Nov 5, 2023SaveLearn
Rate-potential decoupling: a biophysical perspective of electrocatalysisIn this perspective, the chemical physics of biological electron transfer are considered in relation to artificial electrocatalyst development. Nature's ability to access a wide range of chemical…Peter Agbo·Nov 4, 2023SaveLearn
Revealing Local Field Effects at the Electrical Double Layer with Efficient Open Boundary Simulations under Potential ControlA major challenge in modelling interfacial processes in electrochemical (EC) devices is performing simulations at constant potential. This requires an open-boundary description of the electrons, so…Margherita Buraschi, Andrew P. Horsfield, Clotilde S. Cucinotta·Nov 3, 2023SaveLearn
Absorption spectra of the purple nonsulfur bacteria light-harvesting complex: a DFT study of the B800 partWe've studied the B800 part of Rhodoblastus acidophilus light-harvesting complex (LH2) by several quantum chemical techniques based on the density functional theory (DFT) and determined the specific…L. V. Begunovich, E. A. Kovaleva, M. M. Korshunov et al.·Nov 3, 2023SaveLearn
Time-dependent coupled cluster with orthogonal adaptive basis functions: General formalism and application to the vibrational problemWe derive equations of motion for bivariational wave functions with orthogonal adaptive basis sets and specialize the formalism to the coupled cluster ansatz. The equations are related to the…Mads Greisen Højlund, Alberto Zoccante, Ove Christiansen·Nov 3, 2023SaveLearn
Test of the Orbital-Based LI3 Index as a Predictor of the Height of the 3MLCT → 3MC Transition-State Barrier for Gas-Phase [Ru(N)3]2+ Polypyridine ComplexesLuminescence lifetimes of Ruthenium (II) polypyridine compounds is thought to be controlled by the barrier to conversion of triplet metal-ligand charge transfer (3MLCT) state to a…Denis Magero, Ala Aldin M. H. M. Darghouth, Mark E. Casida·Nov 3, 2023SaveLearn
A Computational Study and Parameterisation of Phosphatidylinositol Phosphates for Lipid Simulations with AMBERPhosphatidylinositol phosphates (PIPs) are membrane phospholipids that play crucial roles in a wide range of cellular functions. However, there is a dearth of experimental data in the literature on…Clare Yijia Xie·Nov 3, 2023SaveLearn
Implicit and Explicit Solvent Models for the Solubility of 1,4-Diethynylbenzene and Terephthalonitrile in Ionic LiquidsThe interactions of ionic liquids (ILs) with organic solutes are of interest to many applications involving the use of ILs as task-specific solvents, such as in sensing devices or catalysis. However,…Clare Xie Yijia, Julian Becker, Tom Welton et al.·Nov 3, 2023SaveLearn
Orbital-optimized versus time-dependent density functional calculations of intramolecular charge transfer excited statesThe performance of time-independent, orbital optimized calculations of excited states is assessed with respect to charge transfer excitations in organic molecules in comparison to the linear-response…Elli Selenius, Alec Elías Sigurdarson, Yorick L. A. Schmerwitz et al.·Nov 2, 2023SaveLearn
To Pair or not to Pair? Machine-Learned Explicitly-Correlated Electronic Structure for NaCl in WaterThe extent of ion pairing in solution is an important phenomenon to rationalise transport and thermodynamic properties of electrolytes. A fundamental measure of this pairing is the potential of mean…Niamh O'Neill, Benjamin X. Shi, Kara Fong et al.·Nov 2, 2023SaveLearn
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure CalculationsWe present an investigation into diffusion models for molecular generation, with the aim of better understanding how their predictions compare to the results of physics-based calculations. The…Daniel Rothchild, Andrew S. Rosen, Eric Taw et al.·Nov 2, 2023SaveLearn
Multi-axis fields boost SABRE hyperpolarization via new strategiesThe inherently low signal-to-noise ratio of NMR and MRI is now being addressed by hyperpolarization methods. For example, iridium-based catalysts that reversibly bind both parahydrogen and ligands in…Jacob R. Lindale, Loren L. Smith, Mathew W. Mammen et al.·Nov 2, 2023SaveLearn
Molecular dynamics simulations of ice and methane hydrate by means of the rotation coordinate TIP5P-Ewald modelMolecular dynamics simulations are utilized to study the microwave heating of methane hydrate by the five-body rotation coordinate system with the TIP5P-Ewald model. The structure I of methane…Motohiko Tanaka·Nov 2, 2023SaveLearn
Experimental and theoretical justifications for the observed discriminations between enantiomers of prochiral alcohols by chirally blind EI-MSTo all appearances, electron impact mass spectrometer (EI-MS) is considered a "chirally blind" instrument. Yet, numerous non-identical R (right) and S (left) configurations of prochiral alcohols'…Mohamad Z. Kassaee, Ahmad Mani-varnosfaderani, Nastaran Abedini et al.·Nov 2, 2023SaveLearn
Compact and accurate chemical mechanism for methane pyrolysis with PAH growthA reliable and compact chemical mechanism of gas-phase methane pyrolysis leading to formation of large polycyclic aromatic hydrocarbon (PAH) molecules has been developed. This model is designed for…Alexander Khrabry, Igor D. Kaganovich, Yuri Barsukov et al.·Nov 2, 2023SaveLearn
Electronic excited states from physically-constrained machine learningData-driven techniques are increasingly used to replace electronic-structure calculations of matter. In this context, a relevant question is whether machine learning (ML) should be applied directly…Edoardo Cignoni, Divya Suman, Jigyasa Nigam et al.·Nov 1, 2023SaveLearn
Machine learning for accuracy in density functional approximationsMachine learning techniques have found their way into computational chemistry as indispensable tools to accelerate atomistic simulations and materials design. In addition, machine learning approaches…Johannes Voss·Nov 1, 2023SaveLearn
MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflowsMachine learning (ML) is increasingly becoming a common tool in computational chemistry. At the same time, the rapid development of ML methods requires a flexible software framework for designing…Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou et al.·Oct 31, 2023SaveLearn
Correlated pair ansatz with a binary tree structureWe develop an efficient algorithm to implement the recently introduced binary tree state (BTS) ansatz on a classical computer. BTS allows a simple approximation to permanents arising from the…Rishab Dutta, Fei Gao, Armin Khamoshi et al.·Oct 30, 2023SaveLearn
Efficient formulation of multitime generalized quantum master equations: Taming the cost of simulating 2D spectraModern 4-wave mixing spectroscopies are expensive to obtain experimentally and computationally. In certain cases, the unfavorable scaling of quantum dynamics problems can be improved using a…Thomas Sayer, Andrés Montoya-Castillo·Oct 30, 2023SaveLearn
Role of Structural and Conformational Diversity for Machine Learning PotentialsIn the field of Machine Learning Interatomic Potentials (MLIPs), understanding the intricate relationship between data biases, specifically conformational and structural diversity, and model…Nikhil Shenoy, Prudencio Tossou, Emmanuel Noutahi et al.·Oct 30, 2023SaveLearn
Heptazine, Cyclazine, and Related Compounds: Chemically-Accurate Estimates of the Inverted Singlet-Triplet GapMolecules that violate Hund's rule and exhibit an inverted gap between the lowest singlet S1 and triplet T1 excited states have attracted considerable attention due to their potential…Pierre-François Loos, Filippo Lipparini, Denis Jacquemin·Oct 30, 2023SaveLearn
Computing decay widths of autoionizing Rydberg states with complex-variable coupled cluster theoryWe compute autoionization widths of various Rydberg states of neon and dinitrogen by equation-of-motion coupled-cluster theory combined with complex scaling and complex basis functions. This…Joel Creutzberg, Wojciech Skomorowski, Thomas-C. Jagau·Oct 30, 2023SaveLearn
Exchange-only virial relation from the adiabatic connectionThe exchange-only virial relation due to Levy and Perdew is revisited. Invoking the adiabatic connection, we introduce the exchange energy in terms of the right-derivative of the universal density…Andre Laestadius, Mihály A. Csirik, Markus Penz et al.·Oct 29, 2023SaveLearn
Exploring the impact of vibrational cavity coupling strength on ultrafast CN + c-C6H12 reaction dynamicsMolecular polaritons, hybrid light-matter states resulting from strong cavity coupling of optical transitions, may provide a new route to guide chemical reactions. However, demonstrations of…Liying Chen, Ashley P. Fidler, Alexander M. McKillop et al.·Oct 29, 2023SaveLearn