Dataset Distillation for Machine Learning Force Field in Phase Transition RegimeMachine learning force field (MLFF) has emerged as a powerful data-driven tool for atomistic simulations, enabling large-scale and complex atomic systems to be simulated with accuracy comparable to…Ruiyang Chen, Qingyuan Zhang, Ji Chen·Apr 3, 2026SaveLearn
Regio-Connectivity and Torsional Angle Effects on Singlet Fission and SOCT-ISC in Aza-BODIPY DimersAza-BODIPY dimers represent promising molecular systems for efficient triplet-state generation through either intramolecular-singlet fission (iSF) or spin-orbit charge transfer intersystem crossing…Sophiya Goyal, S. Rajagopala Reddy·Apr 3, 2026SaveLearn
The correlation discrete variable representation revisitedThe correlation discrete variable representation (CDVR) enables efficient quantum dynamics calculation with the multi-layer multi-configurational time-dependent Hartree (MCTDH) approach on general…Uwe Manthe·Apr 2, 2026SaveLearn
Definitive Assessment of the Accuracy, Variationality, and Convergence of Relativistic Coupled Cluster and Density Matrix Renormalization Group in 100-Orbital SpaceAccuracy, variationality, and convergence underpin the reliability of modern electronic structure methods, yet definitive benchmarks in the relativistic regime remain elusive due to the absence of…Shiv Upadhyay, Agam Shayit, Tianyuan Zhang et al.·Apr 2, 2026SaveLearn
Efficient Auxiliary-Field Quantum Monte Carlo using Isometric Tensor HypercontractionAuxiliary Field Quantum Monte Carlo (AFQMC) has emerged as a powerful framework for treating strongly correlated electronic systems, offering a favorable balance between computational cost and…Maxine Luo, Victor Chen, Yu Wang et al.·Apr 2, 2026SaveLearn
A new framework for atom-resolved decomposition of second-harmonic generation in nonlinear-optical crystalsIn this work, we develop a new framework for computing atom-resolved contributions to optical properties based on atoms-in-molecules (AIM) schemes. The formalism is independent of the specific AIM…YingXing Cheng, Congwei Xie, Zhihua Yang et al.·Apr 2, 2026SaveLearn
VIANA: character Value-enhanced Intensity Assessment via domain-informed Neural ArchitecturePredicting the perceived intensity of odorants remains a fundamental challenge in sensory science due to the complex, non-linear behavior of their response, as well as the difficulty in correlating…Luana P. Queiroz, Icaro S. C. Bernardes, Ana M. Ribeiro et al.·Apr 1, 2026SaveLearn
A New Paradigm for Computational ChemistryComputational chemistry has become an indispensable tool for generating data and insights, pervading all branches of experimental chemistry. Its most central concept is the potential energy…Raphael T. Husistein, Markus Reiher·Apr 1, 2026SaveLearn
Thermodynamics-Informed Accurate pKa Prediction and Protonation State Generation in PlayMolecule AIAccurate prediction of acid dissociation constants (pK a) and the determination of dominant protonation states is critical in drug discovery, influencing molecular properties such as…Francesco Pesce, Stephen Farr, Gianni de Fabritiis·Apr 1, 2026SaveLearn
Role of anisotropic electronic friction in laser-driven hydrogen recombination on copperUltrafast light-driven chemical dynamics at surfaces are governed by energy transfer from excited electrons to vibrational degrees of freedom. When this nonadiabatic energy transfer is anisotropic,…Alexander Spears, Wojciech G. Stark, Reinhard J. Maurer·Apr 1, 2026SaveLearn
Stochastic GW with the Orthogonalized Projector Augmented Wave MethodWe introduce stochastic GW with the orthogonalized projector augmented-wave method (OPAW-sGW). This implementation enables accurate quasiparticle band gaps on significantly coarser real-space grids…Dimitri Bazile, Minh Nguyen, Yuji Kon et al.·Apr 1, 2026SaveLearn
Reliable and Efficient Automated Transition-State Searches with Machine-Learned Interatomic PotentialsTransition-state searches are central to understanding reaction mechanisms, but the high computational cost of density-functional theory (DFT) limits their application in high-throughput catalyst and…Jonah Marks, Jonathon Vandezande, Joseph Gomes·Apr 1, 2026SaveLearn
TD: Time-Dependent Density Functional Theory with a Non-Aufbau Reference for near-degenerate statesNear-degenerate electronic structures remain a major challenge for conventional single-reference density functional theory (DFT). To address this problem, we propose time-dependent …Shuto Shibasaki, Fumiya Mohri, Takashi Tsuchimochi·Mar 31, 2026SaveLearn
Gap edge eigenpairs from density matrix purification using moments of the Dirac distributionIn this work, we propose a simple method to resolve the eigenstates located at the band gap edges of an electronic eigenspectrum using only the quasi-purified one-particle density matrix as input.…Lionel Alexandre Truflandier·Mar 31, 2026SaveLearn
Short-lived memory in multidimensional spectra encodes full signal evolutionUltrafast multidimensional spectroscopies are powerful tools that can access charge and energy flow in complex materials, shifting chemical kinetics, and even many-body interactions in correlated…Thomas Sayer, Ethan H. Fink, Zachary R. Wiethorn et al.·Mar 31, 2026SaveLearn
Investigating the Electrochemical Double Layer with Quantum-Chemical Simulations and Implicit Solvation ModelsWe assess the dielectrically consistent reference interaction site model (DRISM) as an implicit electrolyte framework for modeling the electrochemical double layer, and compare it with the…Alessandro Mangiameli, Christopher J. Stein·Mar 31, 2026SaveLearn
Local thermal probe in a one-dimensional chain: An efficient dissipaton-based approachWe study a system consisting of an infinite one-dimensional molecular chain and a locally coupled probe. Starting from the Hamiltonian of the chain-probe composite and the corresponding spectral…Hao-Yang Qi, Zi-Fan Zhu, Yao Wang et al.·Mar 31, 2026SaveLearn
GPU Accelerated Minimal Auxiliary Basis Approach TDDFT for Large Organic MoleculesWe introduce a GPU-accelerated implementation of time-dependent density functional theory with the minimal auxiliary basis approach (TDDFT-risp) in GPU4PySCF, together with large system…Zehao Zhou, Xiaojie Wu, Yanheng Li et al.·Mar 31, 2026SaveLearn
Electronic Collective Variables for Chemical ReactionsChemical reaction sampling critically depends on collective variables (CVs) that capture the slow degrees of freedom governing reactive transformations. However, existing reaction CVs are often…YaoKun Lei, Yi Isaac Yang·Mar 31, 2026SaveLearn
Optical frequency comb Fourier transform spectroscopy of the CH279Br81Br, CH279Br2, and CH281Br2 isotopologues in the 1180-1210 cm-1 regionQuantitative spectroscopic detection of dibromomethane, CH2Br2, for environmental monitoring, workplace safety, and exoplanetary studies is limited by the lack of accurate absorption…Ibrahim Sadiek, Aleksandr A. Balashov, Adrian Hjältén et al.·Mar 31, 2026SaveLearn
Generative Chemical Language Models for Energetic Materials DiscoveryThe discovery of new energetic materials remains a pressing challenge hindered by limited availability of high-quality data. To address this, we have developed generative molecular language models…Andrew Salij, R. Seaton Ullberg, Megan C. Davis et al.·Mar 30, 2026SaveLearn
Hunting for quantum advantage in electronic structure calculations is a highly non-trivial taskIn light of major developments over the past decades in both quantum computing and simulations on classical hardware, it is a serious challenge to identify a real-world problem where quantum…Örs Legeza, Andor Menczer, Miklós Antal Werner et al.·Mar 30, 2026SaveLearn
Path Integral Methods in Atomistic Modelling: An IntroductionThis book provides an introduction to path integral methods and their application to modeling atomistic processes. The book covers both the foundational theory and recently developed simulation…Michele Ceriotti, David E. Manolopoulos, Thomas E. Markland et al.·Mar 30, 2026SaveLearn
A reduced-cost two-component relativistic equation-of-motion coupled cluster method for the double electron attachment problemWe present a computationally efficient relativistic formulation of the equation-of-motion coupled-cluster method for the double electron attachment problem. In this work, the exact two-component…Sujan Mandal, Tamoghna Mukhopadhyay, Achintya Kumar Dutta·Mar 30, 2026SaveLearn
Enhancing Spin Coherence of Optically-Addressed Molecular Qubit by Nuclear Spin HyperpolarizationOptically addressable molecular triplet spins provide a chemically tunable platform for quantum application, but their coherence is often limited by interactions with surrounding spin baths. Here we…Boning Li, Patrick Hautle, Duhan Zhang et al.·Mar 29, 2026SaveLearn