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๐Ÿ” statistics ๐Ÿ“‚ Chemistry
Showing 586 results for "statistics" in Chemistry
Chemistry Preprint PDF DOI

Accelerated Surface Hopping via Scaling the Spin--Orbit Coupling: Opportunities for Machine Learning

Jakub Martinka, Mahesh Kumar Sit, Pavlo O. Dral, Jiri Pittner ยท 2026

Surface hopping (SH) methods are typically employed to simulate ultrafast nonadiabatic processes, but long timescales often remain beyond their reach. To address this, accelerated SH scheme mitigate tโ€ฆ

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Chemistry Preprint PDF DOI

Errors that matter: Uncertainty-aware universal machine-learning potentials calibrated on experiments

Matthias Kellner, Teitur Hansen, Thomas Bligaard, Karsten Wedel Jacobsen, Michele Ceriotti ยท 2026

Machine-learning models of atomic-scale interactions achieve the accuracy of the quantum mechanical calculations on which they are trained, but at a dramatically lower computational cost. Their predicโ€ฆ

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Chemistry Preprint PDF DOI

Birth, Death, and Replication at Surfaces: Universal Laws of Autocatalytic Dynamics

Denis S. Grebenkov ยท 2026

Autocatalytic processes underlie diverse systems in which replication is triggered at interfaces, including heterogeneous catalysis on solid substrates, enzyme activity at membranes, viral infections,โ€ฆ

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Chemistry Preprint PDF DOI

A Statistical-Mechanical Model for Dipolar Chain Formation

Zhongqi Liang, Jesus Perez-Rios ยท 2026

Dipolar fluids are known to exhibit complex self-assembly at low temperatures, yet a compact thermodynamic description of their aggregate statistics has remained elusive. Using molecular dynamics simuโ€ฆ

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Chemistry Preprint PDF DOI

Exact tunneling splittings of rotationally excited states from symmetrized path-integral molecular dynamics

Lea Zupan, Yu-Chen Wang, Jeremy O. Richardson ยท 2026

We extend our previous symmetrized path-integral molecular dynamics approach to calculate tunneling splittings of molecules in rotationally excited states. In this new formalism, the system is rigorouโ€ฆ

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Chemistry Preprint PDF DOI

Thermodynamics-Informed Accurate pKa Prediction and Protonation State Generation in PlayMolecule AI

Francesco Pesce, Stephen Farr, Gianni de Fabritiis ยท 2026

Accurate prediction of acid dissociation constants (p$K_{\rm a}$) and the determination of dominant protonation states is critical in drug discovery, influencing molecular properties such as solubilitโ€ฆ

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Chemistry Preprint PDF DOI

Short-lived memory in multidimensional spectra encodes full signal evolution

Thomas Sayer, Ethan H. Fink, Zachary R. Wiethorn, Devin R. Williams, Anthony J. Dominic III, Luke Guerrieri, Yi Ji, Veronica Policht, Jennifer Ogilvie, Gabriela Schlau-Cohen, Amber Krummel, Andres Montoya-Castillo ยท 2026

Ultrafast 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 mattโ€ฆ

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Chemistry Preprint PDF DOI

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models

Junyi An, Xinyu Lu, Yun-Fei Shi, Li-Cheng Xu, Nannan Zhang, Chao Qu, Yuan Qi, Fenglei Cao ยท 2026

We introduce Suiren-1.0, a family of molecular foundation models for the accurate modeling of diverse organic systems. Suiren-1.0 comprising three specialized variants (Suiren-Base, Suiren-Dimer, and โ€ฆ

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Chemistry Preprint PDF DOI

Stochastic Collision Theory of Magnetism in Radical Fluids

Yoshiaki Uchida, Ryohei Kishi ยท 2026

How 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 conceโ€ฆ

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Chemistry Preprint PDF DOI

Nonadiabatic rare events from transition-path sampling of MASH trajectories

Danial Ghamari, Jeremy O. Richardson ยท 2026

Rare nonadiabatic reactions are a key component of many important molecular processes but are challenging to capture with direct dynamical simulations. In this paper, we combine our recently developedโ€ฆ

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Chemistry Preprint PDF DOI

From Accurate Quantum Chemistry to Converged Thermodynamics for Ion Pairing in Solution

Niamh O'Neill, Benjamin X. Shi, William C. Witt, Blake I. Armstrong, William J. Baldwin, Paolo Raiteri, Christoph Schran, Angelos Michaelides, Julian D. Gale ยท 2026

Quantitative prediction of thermodynamic properties in solution is essential for translating atomistic simulations into reliable chemical insight. As an exemplar system, the behaviour of CaCO$_3$ in wโ€ฆ

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Chemistry Preprint PDF DOI

The Angular Localization Function (ALF): a practical tool to measure solvent angular order with Molecular Density Functional Theory

Maiwenn Souetre, Benjamin Rotenberg, Guillaume Jeanmairet ยท 2026

Molecular density functional theory is a powerful technique for efficiently computing the spatially and orientationally dependent equilibrium density of a molecular solvent around an arbitrary solute.โ€ฆ

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Chemistry Preprint PDF DOI

F\"orster resonance energy transfer with transient coherent effects

Maximilian Meyer-Molleringhof, Pablo Martinez-Azcona, Aurelia Chenu, Tomas Mancal ยท 2026

We formulate the weak intramolecular coupling F\"orster resonance energy transfer theory in a form suitable for calculating ultrafast nonlinear response of molecular systems. We introduce a formally eโ€ฆ

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Chemistry Preprint PDF DOI

The Entropic Barrier around the Conical Intersection Seam

Johannes C. B. Dietschreit, Sebastian Mai, Leticia Gonzalez ยท 2026

Conical intersections (CIs) are seen as the main mediators of nonadiabatic transitions; yet, mixed quantum-classical (MQC) simulations rarely, if ever, sample geometries with exactly degenerate electrโ€ฆ

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Chemistry Preprint PDF DOI

StochasticGW-GPU: rapid quasi-particle energies for molecules beyond 10000 atoms

Phillip S. Thomas, Minh Nguyen, Dimitri Bazile, Tucker Allen, Barry Y. Li, Wenfei Li, Mauro Del Ben, Jack Deslippe, Daniel Neuhauser ยท 2026

$\mathtt{StochasticGW}$ is a code for computing accurate Quasi-Particle (QP) energies of molecules and material systems in the GW approximation. $\mathtt{StochasticGW}$ utilizes the stochastic Resolutโ€ฆ

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Chemistry Preprint PDF DOI

Quantum statistics from classical simulations via generative Gibbs sampling

Weizhou Wang, Xuanxi Zhang, Jonathan Weare, Aaron R. Dinner ยท 2026

Accurate simulation of nuclear quantum effects is essential for molecular modeling but expensive using path integral molecular dynamics (PIMD). We present GG-PI, a ring-polymer-based framework that coโ€ฆ

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Chemistry Preprint PDF DOI

ChemNavigator: Agentic AI Discovery of Design Rules for Organic Photocatalysts

Iman Peivaste, Ahmed Makradi, Salim Belouettar ยท 2026

The discovery of high-performance organic photocatalysts for hydrogen evolution remains limited by the vastness of chemical space and the reliance on human intuition for molecular design. Here we presโ€ฆ

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Chemistry Preprint PDF DOI

Modeling the emission spectra of polycyclic aromatic hydrocarbons by recurrent fluorescence

Damien Borja, Florent Calvo, Pascal Parneix, Cyril Falvo ยท 2026

Recurrent fluorescence (RF) is an important relaxation mechanism in polycyclic aromatic hydrocarbons (PAHs), which could stabilize them and contribute to the production of aromatic infrared bands thatโ€ฆ

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Chemistry Preprint PDF DOI

Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations

Bohan Zhang, Biyuan Liu, Penghua Ying, Zherui Chen, Yanzhou Wang, Yonglin Zhang, Haikuan Dong, Jinglei Yang, Zheyong Fan ยท 2025

Graphene oxide (GO) exhibits rich chemical heterogeneity that strongly influences its structural, thermal, and mechanical properties, yet quantitatively linking reduction chemistry to heat transport rโ€ฆ

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Chemistry Preprint PDF DOI

Finding the best density functionals for water: benchmarking the forces

Shifan Cui ยท 2025

A DFT benchmark on water including more than 50 functionals from GGA to double-hybrid levels is reported. The main metric is the accuracy of forces, allowing better structural coverage, higher statistโ€ฆ

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