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๐Ÿ” jaydeep rade ๐Ÿ“‚ Chemistry
Showing 760 results for "jaydeep rade" in Chemistry
Chemistry Preprint PDF DOI

Stepping up enhanced rate calculations with EATR-flooding

Nicodemo Mazzaferro, Willmor J Pena Ccoa, Pilar Cossio, Glen M. Hocky ยท 2026

Several recent methods have shown that it is possible to compute rate constants of very slow biomolecular processes using simulations where a time-dependent bias is added along one or several collectiโ€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

Electronic Final States in Nuclear $\beta$ Decay: A Sudden-Approximation Framework

G. V. D'yakonov ยท 2026

Electronic final states generated by sudden changes of the Hamiltonian are studied here, with emphasis on nuclear charge variation in $\beta$ decay. A $\lambda$-parametrized family $\hat H(\lambda)$ tโ€ฆ

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Chemistry Preprint PDF DOI

Velocity Formulations for Hyper-Rayleigh Scattering Optical Activity Spectroscopy: Addressing the Origin-dependence Problem

Andrea Bonvicini, Sonia Coriani, Benoit Champagne ยท 2026

The theory of hyper-Rayleigh scattering optical activity (HRS-OA) spectroscopy has previously been described within the length formulation of the pure electric-dipole and mixed (electric-dipole/magnetโ€ฆ

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Chemistry Preprint PDF DOI

FermiLink: A Unified Agent Framework for Multidomain Autonomous Scientific Simulations

Gang Meng, Andres Felipe Bocanegra Vargas, Xinwei Ji, Federico Garcia-Gaitan, Felipe Reyes-Osorio, Jalil Varela-Manjarres, Yafei Ren, Mohammadhasan Dinpajooh, Branislav K. Nikolic, Tao E. Li ยท 2026

Artificial-intelligence (AI) agent frameworks have been developed for autonomous scientific simulations, but most current agent frameworks are tailored to a single or a small set of software packages.โ€ฆ

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Chemistry Preprint PDF DOI

A new framework for atom-resolved decomposition of second-harmonic generation in nonlinear-optical crystals

YingXing Cheng, Congwei Xie, Zhihua Yang, Shili Pan ยท 2026

In 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 metโ€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

Parity violation effects in helical osmocene: theoretical analysis and experimental prospects

Eduardus, Agathe Bonifacio, Mathieu Manceau, Naoya Kuroda, Masato Senami, Juan J. Aucar, I. Agustin Aucar, Marit R. Fiechter, Trond Saue, Jeanne Crassous, Benoit Darquie, Shirin Faraji, Lukas F. Pasteka, Anastasia Borschevsky ยท 2026

We present a computational investigation of the parity-violating (PV) contributions to the vibrational transitions and nuclear magnetic resonance shieldings of helical osmocene. A number of promising โ€ฆ

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Chemistry Preprint PDF DOI

Absolute Primary Nanothermometry Using Individual Stark Sublevels of Rare-Earth-doped Crystals

Allison R. Pessoa, Thomas Possmayer, Jefferson A. O. Galindo, Luiz F. dos Santos, Rogeria R. Goncalves, Leonardo de S. Menezes, Anderson M. Amaral ยท 2026

We present two independent optical methods for absolute primary thermometry using rare-earth-doped nanoparticles. Both approaches rely exclusively on the internal energy levels and population dynamicsโ€ฆ

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Chemistry Preprint PDF DOI

Harmonic-to-anharmonic thermodynamic integration made simple using REG TI

Venkat Kapil ยท 2026

Standard harmonic-to-anharmonic thermodynamic integration (TI) is known to develop a near singularity in the integrand for solids exhibiting diffusive degrees of freedom, such as rotating functional gโ€ฆ

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Chemistry Preprint PDF DOI

Mimyria: Machine learned vibrational spectroscopy for aqueous systems made simple

Philipp Schienbein ยท 2026

Vibrational spectroscopy provides a powerful connection between molecular dynamics (MD) simulations and experiment, but its routine use in condensed-phase systems remains limited. We introduce mimyriaโ€ฆ

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Chemistry Preprint PDF DOI

The nuclear electric quadrupole moment of $^{87}$Sr from highly accurate molecular relativistic calculations

Gabriele Fabbro, Jan Brandejs, Trond Saue ยท 2026

The nuclear electric quadrupole moment (NQM) of $^{87}$Sr has recently been revisited using high-precision relativistic atomic calculations [B. Lu et al., Phys. Rev. A 100, 012504 (2019)], indicating โ€ฆ

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Chemistry Preprint PDF DOI

Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations

Peter Eastman, Evan Pretti, Thomas E. Markland ยท 2026

The rapid development of pretrained Machine Learning Interatomic Potentials (MLIPs) that cover a wide range of molecular species has made it challenging to select the best model for a given applicatioโ€ฆ

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Chemistry Preprint PDF DOI

The rise and fall of stretched bond errors: Extending the analysis of Perdew-Zunger self-interaction corrections of reaction barrier heights beyond the LSDA

Yashpal Singh, Juan E Peralta, Koblar Alan Jackson ยท 2026

Incorporating self-interaction corrections (SIC) significantly improves chemical reaction barrier height predictions made using density functional theory methods. We present a detailed, orbital-by-orbโ€ฆ

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Chemistry Preprint PDF DOI

Chemically decisive benchmarks on the path to quantum utility

Srivathsan Poyyapakkam Sundar, Vibin Abraham, Bo Peng, Ayush Asthana ยท 2026

Progress towards quantum utility in chemistry requires not only algorithmic advances, but also the identification of chemically meaningful problems whose electronic structure fundamentally challenges โ€ฆ

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Chemistry Preprint PDF DOI

Development of a glow-discharge ion-trap instrument for measuring effective radiative-association rate coefficients

Darya Kisuryna, Sanjana Maheshwari, Santiago Lorenzi, Julianna Palotas, Jessica Palko, Nathan McLane, Ece M. Kocak, Randall E. Pedder, Leah G. Dodson ยท 2026

The ability to directly measure radiative-association rate coefficients for reactions between ions and neutral molecules has long challenged chemical physics laboratories, yet radiative association isโ€ฆ

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Chemistry Preprint PDF DOI

Unraveling Structure-Performance Trade-offs in Porous Transport Layers for PEM Water Electrolysis

Navneet Goswami, Sergio Diaz Abad, Jacob S. Spendelow, Siddharth Komini Babu, Wilton J. M. Kort-Kamp ยท 2026

Scalable hydrogen production using proton exchange membrane water electrolyzers depends on overcoming efficiency losses arising from coupled multiphase, multicomponent transport and interfacial phenomโ€ฆ

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Chemistry Preprint PDF DOI

Charged excitations made neutral: N-centered ensemble density functional theory of Fukui functions

Lucien Dupuy, Emmanuel Fromager ยท 2026

An in-principle exact working equation to compute electronic affinity and ionization Fukui functions is derived within the $N$-centered (Nc) ensemble extension of density functional theory (DFT). It cโ€ฆ

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Chemistry Preprint PDF DOI

Formal O(N3) scaling GW calculations by block tensor decomposition for large molecule systems

Yueyang Zhang, Wei Wu, Peifeng Su ยท 2025

Within the framework of many-body perturbation theory based on Green's functions, the $GW$ approximation has emerged as a pivotal method for computing quasiparticle energies and excitation spectra. Hoโ€ฆ

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Chemistry Preprint PDF DOI

Phantom LAM and LLI: Resistance and Hysteresis Bias in Voltage-Curve Degradation Mode Analysis

Mohammed Asheruddin N, Matheus Leal De Souza, Thomas Holland, Catherine Folkson, Gregory Offer, Monica Marinescu ยท 2025

Degradation mode analysis (DMA) is widely used to decompose capacity fade into loss of lithium inventory (LLI) and loss of active material (LAM) from low-rate voltage-capacity data. Yet the measured tโ€ฆ

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