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๐Ÿ” lig ๐Ÿ“‚ Chemistry
Showing 134 results for "lig" in Chemistry
Chemistry Preprint PDF DOI

The BOS-Lig Dataset: Accurate Ligand Charges from a Consensus Approach for 66,810 Experimentally Synthesized Ligands

Roland G. St. Michel, Ryan J. Jang, Aaron G. Garrison, Ilia Kevlishvili, Heather J. Kulik ยท 2026

Understanding ligand properties is essential for computational high-throughput screening of transition metal complexes. However, ligand properties such as net charge and other information such as theiโ€ฆ

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Chemistry Preprint PDF DOI

A Physics-Regularized Neural Network and Kirchhoff Markov Random Field Framework for Inferring Internal Electrochemical States from Operando Spectromicroscopy

Naoki Wada, Yuta Kimura, Masaichiro Mizumaki, Koji Amezawa, Ichiro Akai, Toru Aonishi ยท 2026

Quantitative understanding of coupled reaction and transport processes in lithium-ion battery (LIB) composite electrodes remains challenging because key internal states cannot be measured directly. Inโ€ฆ

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Chemistry Preprint PDF DOI

IEPDYN: Integral-equation formalism of population dynamics

Kento Kasahara, Ryo Okabe, Chia-en A. Chang, Toshifumi mori, Nobuyuki Matubayasi ยท 2026

We propose the integral-equation formalism of population dynamics (IEPDYN) to describe the population dynamics of distinct configurational states. According to classical reaction dynamics theory, the โ€ฆ

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Chemistry Preprint PDF DOI

Tree Tensor Networks Methods for Efficient Calculation of Molecular Vibrational Spectra

Shuo Sun, Richard M. Milbradt, Stefan Knecht, Chandan Kumar, Christian B. Mendl ยท 2025

We develop and employ general Tree Tensor Networks (TTNs) to compute the vibrational spectra for two model systems: a set of 64-dimensional coupled oscillators and acetonitrile. We explore various treโ€ฆ

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Chemistry Preprint PDF DOI

Two-dimensional RMSD projections for reaction path visualization and validation

Rohit Goswami ยท 2025

Transition state or minimum energy path finding methods constitute a routine component of the computational chemistry toolkit. Standard analysis involves trajectories conventionally plotted in terms oโ€ฆ

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Chemistry Preprint PDF DOI

Bridging Atomistic and Mesoscale Lithium Transport via Machine-Learned Force Fields and Markov State Models

Muhammad Nawaz Qaisrani, Christoph Kirsch, Aaron Flototto, Jonas Hanseroth, Jules Oumard, Daniel Sebastiani, Christian Dre{ss}ler ยท 2025

Lithium diffusion in solid-state battery anodes occurs through thermally activated hops between metastable sites often separated by large energy barriers, making such events rare on ab initio moleculaโ€ฆ

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Chemistry Preprint PDF DOI

Omics-scale polymer computational database transferable to real-world artificial intelligence applications

Ryo Yoshida, Yoshihiro Hayashi, Hidemine Furuya, Ryohei Hosoya, Kazuyoshi Kaneko, Hiroki Sugisawa, Yu Kaneko, Aiko Takahashi, Yoh Noguchi, Shun Nanjo, Keiko Shinoda, Tomu Hamakawa, Mitsuru Ohno, Takuya Kitamura, Misaki Yonekawa, Stephen Wu, Masato Ohnishi, Chang Liu, Teruki Tsurimoto, Arifin, Araki Wakiuchi, Kohei Noda, Junko Morikawa, Teruaki Hayakawa, Junichiro Shiomi, Masanobu Naito, Kazuya Shiratori, Tomoki Nagai, Norio Tomotsu, Hiroto Inoue, Ryuichi Sakashita, Masashi Ishii, Isao Kuwajima, Kenji Furuichi, Norihiko Hiroi, Yuki Takemoto, Takahiro Ohkuma, Keita Yamamoto, Naoya Kowatari, Masato Suzuki, Naoya Matsumoto, Seiryu Umetani, Hisaki Ikebata, Yasuyuki Shudo, Mayu Nagao, Shinya Kamada, Kazunori Kamio, Taichi Shomura, Kensaku Nakamura, Yudai Iwamizu, Atsutoshi Abe, Koki Yoshitomi, Yuki Horie, Katsuhiko Koike, Koichi Iwakabe, Shinya Gima, Kota Usui, Gikyo Usuki, Takuro Tsutsumi, Keitaro Matsuoka, Kazuki Sada, Masahiro Kitabata, Takuma Kikutsuji, Akitaka Kamauchi, Yusuke Iijima, Tsubasa Suzuki, Takenori Goda, Yuki Takabayashi, Kazuko Imai, Yuji Mochizuki, Hideo Doi, Koji Okuwaki, Hiroya Nitta, Taku Ozawa, Hitoshi Kamijima, Toshiaki Shintani, Takuma Mitamura, Massimiliano Zamengo, Yuitsu Sugami, Seiji Akiyama, Yoshinari Murakami, Atsushi Betto, Naoya Matsuo, Satoru Kagao, Tetsuya Kobayashi, Norie Matsubara, Shosei Kubo, Yuki Ishiyama, Yuri Ichioka, Mamoru Usami, Satoru Yoshizaki, Seigo Mizutani, Yosuke Hanawa, Shogo Kunieda, Mitsuru Yambe, Takeru Nakamura, Hiromori Murashima, Kenji Takahashi, Naoki Wada, Masahiro Kawano, Yosuke Harada, Takehiro Fujita, Erina Fujita, Ryoji Himeno, Hiori Kino, Kenji Fukumizu (for the RadonPy consortium) ยท 2025

Developing large-scale foundational datasets is a critical milestone in advancing artificial intelligence (AI)-driven scientific innovation. However, unlike AI-mature fields such as natural language pโ€ฆ

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Chemistry Preprint PDF DOI

Rigorous quantum calculations for atom-molecule chemical reactions in electric fields: from single to multiple partial wave regimes

Timur V. Tscherbul, Roman V. Krems ยท 2025

We present an efficient method for rigorous quantum calculations of cross sections for atom-molecule reactive scattering in the presence of a dc electric field. The wavefunction of the reaction compleโ€ฆ

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Chemistry Preprint PDF DOI

Mind the Gap: From Resolving Theoretical Foundations of Chiral(ity)-Induced Spin Selectivity to Pioneering Implementations in Quantum Sensing

Yan Xi Foo, Aisha Kermiche, Farhan T. Chowdhury, Clarice D. Aiello, Luke D. Smith ยท 2025

The chiral(ity)-induced spin selectivity (CISS) effect, where electrons passing through a chiral medium acquire significant spin-polarization at ambient temperatures, has been widely observed experimeโ€ฆ

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Chemistry Preprint PDF DOI

Information encoding in spherical DFT

Sol Samuels, Chance M. Baxter, Susan R. Atlas ยท 2025

Spherical density functional theory (DFT) is a reformulation of the classic theorems of DFT, in which the role of the total density of a many-electron system is replaced by a set of sphericalized densโ€ฆ

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Chemistry Preprint PDF DOI

A deep learning model for chemical shieldings in molecular organic solids including anisotropy

Matthias Kellner, Jacob B. Holmes, Ruben Rodriguez-Madrid, Florian Viscosi, Yuxuan Zhang, Lyndon Emsley, Michele Ceriotti ยท 2025

Nuclear Magnetic Resonance (NMR) chemical shifts are powerful probes of local atomic and electronic structure that can be used to resolve the structures of powdered or amorphous molecular solids. Chemโ€ฆ

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Chemistry Preprint PDF DOI

Density dependent embedding potentials for piecewise exact densities

Tomasz Adam Wesolowski ยท 2025

Frozen Density Embedding Theory (FDET) [Wesolowski {\it Phys. Rev. A} {\bf 77}, 012504 (2008)] provides the interpretation of the eigenvalue equations for an embedded $N'$-electron wavefunction, in whโ€ฆ

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Chemistry Preprint PDF DOI

A Computational Study of the Vibrational and Rotational g-Factors of the Diatomic Molecules LiH, LiF, CO, CS, SiO and SiS

Anna Thorn Ekstr{o}m, Stephan P. A. Sauer ยท 2025

The purpose of this article is to present theoretical values for the vibrational and rotational g-factors of several diatomic molecules. The calculations have been carried out at the Multi-Configuratiโ€ฆ

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Chemistry Preprint PDF DOI

Kinetics of seeded protein aggregation: theory and application

Alexander J. Dear, Georg Meisl, Jing Hu, Tuomas P. J. Knowles, Sara Linse ยท 2025

``Seeding'' is the addition of preformed fibrils to a solution of monomeric protein to accelerate its aggregation into new fibrils. It is a versatile and widely-used tool for scientists studying proteโ€ฆ

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Chemistry Preprint PDF DOI

Machine learning meets $\mathfrak{su}(n)$ Lie algebra: Enhancing quantum dynamics learning with exact trace conservation

Arif Ullah, Jeremy O. Richardson ยท 2025

Machine learning (ML) has emerged as a promising tool for simulating quantum dissipative dynamics. However, existing methods often struggle to enforce key physical constraints, such as trace conservatโ€ฆ

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Chemistry Preprint PDF DOI

Diagrammatic Multiplet-Sum Method (MSM) Density-Functional Theory (DFT): II. Completion of the Two-Orbital Two-Electron Model (TOTEM) with an Application to the Avoided Crossing in Lithium Hydride (LiH)

Mark E. Casida, Abraham Ponra, Carolyne Bakasa, Anne Justine Etindele ยท 2025

The Ziegler-Rauk-Baerends multiplet sum method (MSM) assumes that density-functional theory (DFT) provides a good description of states dominated by a single determinant. It then uses symmetry to add โ€ฆ

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Chemistry Preprint PDF DOI

Thermodynamics and transport in molten chloride salts and their mixtures

Cillian Cockrell, Margaret-Ann Withington, Harvey L. Devereux, Alin M. Elena, Ilian T. Todorov, Zi-Kui Liu, Shun-Li Shang, James S. McCloy, Paul A. Bingham, Kostya Trachenko ยท 2024

Molten salts are important in a number of energy applications, but the fundamental mechanisms operating in ionic liquids are poorly understood, particularly at higher temperatures. This is despite theโ€ฆ

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Chemistry Preprint PDF DOI

Observation of a core-excited dipole-bound state $\sim$1 eV above the electron detachment threshold in cryogenically cooled acetylacetonate

Rafael A Jara-Toro (IPR), Martin Taccone (INFIQC), Jordan Dezalay, Jennifer Noble (PIIM), Gert von Helden (FHI), Gustavo Pino (INFIQC) ยท 2024

Dipole-bound states in anions exist when a polar neutral core binds an electron in a diffuse orbital through charge--dipole interaction. Electronically excited polar neutral cores can also bind an eleโ€ฆ

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Chemistry Preprint PDF DOI

Test of the Orbital-Based LI3 Index as a Predictor of the Height of the 3MLCT to 3MC Transition-State Barrier for [Ru(N N)3]2+ Polypyridine Complexes in CH3CN

Ala Aldin M. H. M. Darghouth, Denis Magero, Mark E. Casida ยท 2024

Ruthenium(II) polypyridine compounds often have a relatively long lived triplet metalligand charge transfer (3MLCT) state, making these complexes useful as chromophores for photoactivated electron traโ€ฆ

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Machine learning for predicting control landscape maps of quantum molecular dynamics: Laser-induced three-dimensional alignment of asymmetric top molecules

Tomotaro Namba, Yukiyoshi Ohtsuki ยท 2024

Machine learning for predicting control landscape maps of full quantum molecular dynamics is examined through a case study of the laser-induced three-dimensional (3D) alignment of asymmetric top molecโ€ฆ

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