Reference CC3 Excitation Energies for Organic Chromophores: Benchmarking TD-DFT, BSE/GW and Wave Function MethodsTo expand the QUEST database of highly-accurate vertical transition energies, we consider a series of large organic chromogens ubiquitous in dye chemistry, such as anthraquinone, azobenzene, BODIPY,…Iryna Knysh, Filippo Lipparini, Aymeric Blondel et al.·Jul 12, 2024SaveLearn
"Best" iterative coupled-cluster triples model: More evidence for 3CCTo follow up on the unexpectedly-good performance of several coupled-cluster models with approximate inclusion of 3-body clusters [J. Chem. Phys. 151, 064102 (2019)] we performed a more complete…Nakul Teke, Ajay Melekamburath, Bimal Gaudel et al.·Jul 11, 2024SaveLearn
An "ultimate" coupled cluster method based entirely on T2Electronic structure methods built around double-electron excitations have a rich history in quantum chemistry. However, it seems to be the case that such methods are only suitable in particular…Zachary W. Windom, Ajith Perera, Rodney J. Bartlett·Jul 11, 2024SaveLearn
Description of the hydrogen atom and the He+ ion in an optical cavity using the Pauli-Fierz HamiltonianA system of one electron in a Coulomb potential in an optical cavity is solved using a tensor-product light-matter basis. The problem was treated at the level of the Pauli-Fierz Hamiltonian…Yetmgeta Aklilu, Kálmán Varga·Jul 11, 2024SaveLearn
Real-Time Coupled Cluster Theory with Approximate TriplesIn order to explore the effects of high levels of electron correlation on the real-time coupled cluster formalism and algorithmic behavior, we introduce a time-dependent implementation of the CC3…Zhe Wang, Håkon Emil Kristiansen, Thomas Bondo Pedersen et al.·Jul 11, 2024SaveLearn
Selected Configuration Interaction for ResonancesElectronic resonances are metastable states that can decay by electron loss. They are ubiquitous across various fields of science, such as chemistry, physics, and biology. However, current…Yann Damour, Anthony Scemama, Fábris Kossoski et al.·Jul 11, 2024SaveLearn
A new Green's function formalism for kinetic energy density functional for atomic and molecular system: Emergence of N-dependence using model potentialsAn accurate expression of the kinetic energy density of an electronic distribution in terms of the single particle reduced density matrix for atomic and molecular systems is a long-standing problem…Priya, Mainak Sadhukhan·Jul 11, 2024SaveLearn
ArcaNN: automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentialsThe emergence of artificial intelligence has profoundly impacted computational chemistry, particularly through machine-learned potentials (MLPs), which offer a balance of accuracy and efficiency in…Rolf David, Miguel de la Puente, Axel Gomez et al.·Jul 10, 2024SaveLearn
Prediction of Frequency-Dependent Optical Spectrum for Solid Materials: A Multi-Output & Multi-Fidelity Machine Learning ApproachThe frequency-dependent optical spectrum is pivotal for a broad range of applications, from material characterization to optoelectronics and energy harvesting. Data-driven surrogate models, trained…Akram Ibrahim, Can Ataca·Jul 10, 2024SaveLearn
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst DiscoveryThe successful application of machine learning (ML) in catalyst design relies on high-quality and diverse data to ensure effective generalization to novel compositions, thereby aiding in catalyst…Parastoo Semnani, Mihail Bogojeski, Florian Bley et al.·Jul 10, 2024SaveLearn
Ab initio calculations of molecular double Auger decay ratesWe report on the application of the recently developed Fano-ADC(2,2) method to compute total and partial Auger decay widths of molecular core-hole states, including explicit evaluation of double…Přemysl Kolorenč·Jul 10, 2024SaveLearn
Parallel implementation of the Density Matrix Renormalization Group method achieving a quarter petaFLOPS performance on a single DGX-H100 GPU nodeWe report cutting edge performance results for a hybrid CPU-multi GPU implementation of the spin adapted ab initio Density Matrix Renormalization Group (DMRG) method on current state-of-the-art…Andor Menczer, Maarten van Damme, Alan Rask et al.·Jul 10, 2024SaveLearn
MolTRES: Improving Chemical Language Representation Learning for Molecular Property PredictionChemical representation learning has gained increasing interest due to the limited availability of supervised data in fields such as drug and materials design. This interest particularly extends to…Jun-Hyung Park, Yeachan Kim, Mingyu Lee et al.·Jul 9, 2024SaveLearn
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation DesignAdvancements in lithium battery technology heavily rely on the design and engineering of electrolytes. However, current schemes for molecular design and recipe optimization of electrolytes lack an…Boshen Zeng, Sian Chen, Xinxin Liu et al.·Jul 8, 2024SaveLearn
Influence of Pseudo-Jahn-Teller Activity on the Singlet-Triplet Gap of AzaphenalenesWe analyze the possibility of symmetry-lowering induced by pseudo-Jahn--Teller interactions in six previously studied azaphenalenes that are known to have their first excited singlet state (S1)…Atreyee Majumdar, Komal Jindal, Surajit Das et al.·Jul 5, 2024SaveLearn
DeepLNE++ leveraging knowledge distillation for accelerated multi-state path-like collective variablesPath-like collective variables can be very effective for accurately modeling complex biomolecular processes in molecular dynamics simulations. Recently, we introduced DeepLNE, a machine…Thorben Fröhlking, Valerio Rizzi, Simone Aureli et al.·Jul 5, 2024SaveLearn
Time-dependent orbital-optimized coupled-cluster methods families for fermion-mixtures dynamicsFive time-dependent orbital optimized coupled-cluster (TD-ooCC) methods, of which four can converge to the complete active space self-consistent-field method, are presented for fermion-mixtures with…Haifeng Lang, Takeshi Sato·Jul 5, 2024SaveLearn
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for ChemistrySpectroscopic techniques are essential tools for determining the structure of molecules. Different spectroscopic techniques, such as Nuclear magnetic resonance (NMR), Infrared spectroscopy, and Mass…Marvin Alberts, Oliver Schilter, Federico Zipoli et al.·Jul 4, 2024SaveLearn
Factorized Quadruples and a Predictor of Higher-Level Correlation in ThermochemistryCoupled cluster theory has had a momentous impact on the ab initio prediction of molecular properties, and remains a staple ingratiate in high-accuracy thermochemical model chemistries. However,…James H. Thorpe, Zachary W. Windom, Rodney J. Bartlett et al.·Jul 3, 2024SaveLearn
Accurate nuclear quantum statistics on machine-learned classical effective potentialsThe contribution of nuclear quantum effects (NQEs) to the properties of various hydrogen-bound systems, including biomolecules, is increasingly recognized. Despite the development of many…Iryna Zaporozhets, Félix Musil, Venkat Kapil et al.·Jul 3, 2024SaveLearn
Predicting solvation free energies for neutral molecules in any solvent with openCOSMO-RSThe accurate prediction of solvation free energies is critical for understanding various phenomena in the liquid phase, including reaction rates, equilibrium constants, activity coefficients, and…Simon Müller, Thomas Nevolianis, Miquel Garcia-Ratés et al.·Jul 3, 2024SaveLearn
2500 vibronic eigenstates of the NO3 radicalThe nitrate radical NO3 plays an important role in atmospheric chemistry, yet many aspects of its coupled and anharmonic vibronic structure remain elusive. Here, using an accurate, coupled…Henrik R. Larsson, Alexandra Viel·Jul 3, 2024SaveLearn
Time-Dependent Density Functional Theory Simulation for Analyzing Neutralization Process of Hydrogen Ion Injected onto Tungsten SurfacesWe have performed time-dependent density functional theory simulations for the neutralization process of a hydrogen ion injected at 100eV onto the (110) surface of tungsten material. We have also…Yuto Toda, Arimichi Takayama, Atsushi M. Ito·Jul 3, 2024SaveLearn
Application of the Digital Annealer Unit in Optimizing Chemical Reaction Conditions for Enhanced Production YieldsFinding appropriate reaction conditions that yield high product rates in chemical synthesis is crucial for the chemical and pharmaceutical industries. However, due to the vast chemical space,…Shih-Cheng Li, Pei-Hwa Wang, Jheng-Wei Su et al.·Jul 3, 2024SaveLearn
Relativistic Linear Response in Quantum-Electrodynamical Density Functional TheoryWe present the theoretical derivation and numerical implementation of the linear response equations for relativistic quantum electrodynamical density functional theory (QEDFT). In contrast to…Lukas Konecny, Valeriia P. Kosheleva, Heiko Appel et al.·Jul 2, 2024SaveLearn