Formal O(N3)-Scaling Second-Order Perturbation Theory by Block Tensor Decomposition: Implementation on MP2 and rPT2Block tensor decomposition (BTD) and canonical polyadic decomposition (CPD) are combined into a unified O(N3)-scaling framework for second-order perturbation theory (PT2), demonstrated on MP2 and…Yueyang Zhang, Wei Wu, Peifeng Su·May 27, 2026SaveLearn
Approximate label symmetries improve data efficiencyEnforcing feature symmetries in machine learning (ML) models is a common strategy to mitigate data scarcity. Confirming expectations from statistical learning theory, we show that exact, as well as…Scott Y. H. Kim, Mathis Lechaume-Robert, O. Anatole von Lilienfeld·May 27, 2026SaveLearn
Full Quantum and Mixed Quantum--Classical Dynamics of Hot Exciton Cooling in Semiconductor NanocrystalsHot-exciton relaxation in semiconductor nanocrystals (NCs) is often described using perturbative theories, but their accuracy is difficult to assess for realistic exciton--phonon Hamiltonians. Here,…Bokang Hou, Johan E. Runeson, Samuel L. Rudge et al.·May 26, 2026SaveLearn
Real-Time Time-Dependent Density Functional Theory for Pump-Probe SpectroscopiesThe last decade has witnessed a rapid advancement in laser technology, enabling the direct monitoring and control of electronic motion on its natural attosecond to sub-femtosecond timescales.…Torsha Moitra·May 26, 2026SaveLearn
Dyck language and fermionic second quantization: II. ApplicationsIn this work, we establish a direct connection between supplemented Dyck language and the signed expectation value of chains of second quantization operators relatively to the physical vacuum and…Jérémy Morere, Thibaud Etienne·May 26, 2026SaveLearn
Dyck language and fermionic second quantization: I. TheoryThis paper proposes a novel framework connecting fermionic second quantization and Dyck languages. By defining translations of creation and annihilation operators using bracket alphabets, the study…Jérémy Morere, Thibaud Etienne·May 26, 2026SaveLearn
Selective Biexciton Generation Under Energy-Time Entangled Quantum Light in Quantum DotsEnergy-time entangled photons provide new opportunities for controlling multiphoton absorption beyond classical limits. Here, we investigate biexciton generation in nanocrystal quantum dots driven by…Kaiyue Peng, Chieh Tsao, Hendrik Utzat et al.·May 26, 2026SaveLearn
Disentangling Single- and Biexciton Dynamics with Photoelectron-Detected Two-Dimensional Electronic SpectroscopyAction-detected two-dimensional (2D) spectroscopy resolves the time-dependent nonlinear optical response of a quantum system by recording incoherently detected observables such as fluorescence,…Luisa Brenneis, Matthias Hensen, Julian Lüttig et al.·May 26, 2026SaveLearn
Excess molar enthalpies of (iodobenzene, or 1-iodonaphthalene + n-alkane) liquid mixtures at T = 298.15 K and p = 93 kPaExcess molar enthalpies (HmE) for iodobenzene, or 1-iodonaphthalene + heptane, + decane, + dodecane, or + tetradecane mixtures at 298.15 K and 93 kPa have been measured using a…Fernando Hevia, Luis Felipe Sanz, Juan Antonio González et al.·May 25, 2026SaveLearn
Mutual information and mutual correlation: their spin-free formulations and comparisonOrbital entropies, pair entropies, and mutual information have become popular tools for analysis of strongly correlated wave functions. They can quantitatively measure how strongly an orbital…Jiri Pittner·May 25, 2026SaveLearn
Machine Learning Multiscale InteractionsRealistic physical systems are characterised by emergent interactions across multiple length and time scales, posing a significant challenge for predictive machine learning (ML) models. Most…Àlex Solé, Sergio Suárez-Dou, Albert Mosella-Montoro et al.·May 25, 2026SaveLearn
Terahertz-induced local-field dynamics and transient birefringence in aqueous electrolytesTerahertz Kerr-effect (TKE) spectroscopy provides a time-domain optical probe of the intermolecular structural dynamics of liquids, but the measured birefringence can only be interpreted…Naveen Kumar Kaliannan, Thomas D. Kühne, Hossam Elgabarty·May 25, 2026SaveLearn
An Efficient On-the-Fly Nonadiabatic Coupling Framework Integrated into CP2KNonadiabatic molecular dynamics (NAMD) is widely used to describe hot electron relaxation and nonradiative recombination processes, but high computational costs limit its application to large…Xiaoke He, Hsiao-Yi Tsai, Ziwei Chai et al.·May 25, 2026SaveLearn
A DMFT approach to evaluate electronic frictional effects near solid surfaces of strongly correlated systemsElectronic friction-Langevin dynamics (EF-LD) provides an efficient framework for capturing nonadiabatic effects at solid surfaces, with particular relevance to electrochemistry and molecular…Yunhao Liu, Wenjie Dou·May 25, 2026SaveLearn
Categorification of Chemical Reactions: a bottom-up tower from stoichiometry to quantum structureChemistry's rules carry exceptions: the octet rule, Hess's Law, detailed balance, orbital symmetry selection rules, all with disclaimers memorised separately. Their cause: a question from a…Kyunghoon Han·May 25, 2026SaveLearn
Reassessing carotenoid photophysics: shedding light on dark statesCarotenoid molecules are critical in photosynthesis, performing functions at the heart of both light-harvesting and photoprotection. As both these processes involve excitation energy transfer, fully…Roxanne Bercy, Viola Dmello, Andrew Gall et al.·May 25, 2026SaveLearn
Bipartite Cholesky Graph Networks for Many-Body Quantum ChemistryAccurate prediction of molecular correlation energies from first principles requires resolving the O(N4) electron repulsion integral (ERI) tensor. Existing graph neural network approaches to the…Abdul Samad Khan·May 24, 2026SaveLearn
Separable Force Matching of PBE0 Hybrid-Functional Reference Forces for Path-Integral Simulations of Liquid WaterForce-matched water models provide a practical route from first-principles reference data to long classical and path-integral molecular simulations. Previous flexible four-site potentials in the…Jan Kessler, Thomas Spura, Kristof Karhan et al.·May 24, 2026SaveLearn
Unravelling Chemical Exchanges Through Steady State Free Precession NMRNMR is uniquely endowed to analyze dynamics, with line shape and relaxation measurements covering timescales over several orders of magnitude. Further insight arises from pulse sequences like…Sundaresan Jayanthi, Adonis Lupulescu, Mark Shif et al.·May 24, 2026SaveLearn
C-Pol: Point charge perturbation scheme for mapping tensor moment surfacesWe present an efficient moment-based perturbation scheme for evaluating polarizability tensors of small molecules at a fraction of the computational cost of conventional energy-based approaches.…Anoop Ajaya Kumar Nair, Julian Beßner, Timo Jacob et al.·May 24, 2026SaveLearn
Transport-preserving neural ab initio scattering kernels for rarefied binary gas mixturesNeural surrogates for molecular scattering provide a route to continuously evaluable and differentiable direct simulation Monte Carlo (DSMC) collision kernels, but a small pointwise deflection-angle…Ehsan Roohi·May 23, 2026SaveLearn
A PEMFC-based combined cooling heating and power (CCHP) system with flexible energy supply: Thermodynamic and economic analysesProton exchange membrane fuel cell (PEMFC) systems offer a key approach to hydrogen utilization, and PEMFC-based combined cooling, heating, and power (CCHP) systems pave the way for an efficient and…Yuanming Wang, Shaowen Deng, Rui Chen et al.·May 23, 2026SaveLearn
Stochastic Collision Theory of Magnetism in Radical FluidsHow stochastic, microscopic events generate deterministic, macroscopic properties is a fundamental question in physics. We address this question by developing a quantum master equation model for…Yoshiaki Uchida, Ryohei Kishi·May 23, 2026SaveLearn
Excitation density controlled regimes of collective light--matter dynamicsTheoretical descriptions of collective light--matter dynamics often rely on the mean-field (MF) or single-excitation (SE) approximations, yet the parameter regimes where they apply are rarely clearly…Wenxiang Ying, Abraham Nitzan·May 22, 2026SaveLearn
Multitask learning with semiempirical orbital charges enables sample-efficient MLIPsMachine learning interatomic potentials (MLIPs) require generating computationally expensive, large-scale training datasets to accurately simulate materials and molecules. Incorporating electronic…Ihor Neporozhnii, Sjoerd Hoogland, Oleksandr Voznyy·May 22, 2026SaveLearn