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๐Ÿ” michael codish ๐Ÿ“‚ Chemistry
Showing 46 results for "michael codish" in Chemistry
Chemistry Preprint PDF DOI

CovAngelo: A hybrid quantum-classical computing platform for accurate and scalable drug discovery

Linn Evenseth, Kamil Galewski, Witold Jarnicki, Piero Lafiosca, Vyom N. Patel, Grzegorz Rajchel-Mieldzioc, Martin Simka, Micha{l} Szczepanik, Emil Zak ยท 2026

We present a computational platform for modeling chemical reactions in complex molecular environments, focused on ligand-protein binding in drug discovery. The platform implements our new quantum-in-qโ€ฆ

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Chemistry Preprint PDF DOI

Chemical Systems as Ternary $\Gamma$-Semirings:Theory, Case Studies, and Operational Tests

Chandrasekhar Gokavarapu (Department of Mathematics, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India and, Department of Mathematics, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India), Venkata Rao Kaviti (Department of Chemistry, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India), Srinivasa Rao Thirunagari (Department of Chemistry, Government College (Autonomous), Rajahmundry, Andhra Pradesh, India), D. Madhusudhana Rao (Department of Mathematics, Government College for Women (Autonomous), Guntur, Andhra Pradesh, India and, Department of Mathematics, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India) ยท 2025

Chemical systems are traditionally described by lists of species, reactions, and externally imposed kinetic laws, a framework that lacks an intrinsic algebraic structure governing how transformations โ€ฆ

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Chemistry Preprint PDF DOI

SpectraMatcher: A Python Program for Interactive Analysis and Peak Assignment of Vibronic Spectra

Johanna Langner, Isabelle Weber, Henryk A. Witek, Yuan-Pern Lee ยท 2025

SpectraMatcher is a cross-platform desktop application for interactive comparison of experimental and computed vibronic spectra, designed to assist in the recognition and assignment of spectral patterโ€ฆ

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Chemistry Preprint PDF DOI

Thermodynamics of Chemical Reactions in Open Systems Reduced by PEA and QSSA

Xinyu Zhang, Haiyang Jia, Liangrong Peng, Liu Hong ยท 2025

Previous studies have primarily focused on the nonequilibrium thermodynamics of chemical reaction networks (CRNs) occurring in closed systems. In contrast, CRNs in open systems exhibit much richer nonโ€ฆ

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Chemistry Preprint PDF DOI

Accuracy versus Predominance: Reassessing the validity of the quasi-steady-state approximation

Kashvi Srivastava, Justin Eilertsen, Victoria Booth, Santiago Schnell ยท 2025

The application of the standard quasi-steady-state approximation to the Michaelis--Menten reaction mechanism is a textbook example of biochemical model reduction, derived using singular perturbation tโ€ฆ

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Chemistry Preprint PDF DOI

Quantifying dissipation in stochastic complex oscillations

Athokpam Langlen Chanu, Preet Mishra, Shyam Kumar, R. K. Brojen Singh ยท 2024

Fluctuations-driven complex oscillations are experimentally observed in cellular systems such as hepatocytes, cardiac cells, neuronal cells, etc. These systems are generally operating in regimes far fโ€ฆ

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Chemistry Preprint PDF DOI

Pt nanoparticles dispersed in a metal-organic framework as peroxidase mimics for colorimetric detection of GSH

Yanzheng Shu, Yanwei Chen, Guiye Shan ยท 2024

Metal-organic skeleton materials have been widely used in catalysis with their porous structure and adsorption properties. Precious metal nanoparticles have good catalytic properties. If the noble metโ€ฆ

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Chemistry Preprint PDF DOI

Multi-functional oxidase-like activity of praseodymia nanorods and nanoparticles

Jiang Lei, Yaning Han, Susana Fernandez-Garcia, Miguel Tinoco Rivas, Zhuang Li, Pengli Nan, Jingtao Sun, Juan Jose Delgado Jaen, Huiyan Pan, Ginesa Francisco Martinez-Lopez Blanco, Ana Belen Hungria, Jose Juan Calvino, Xiaowei Chen ยท 2024

The ability to mimic protein-based oxidase with multi-functional inorganic nanozymes would greatly advance biomedical and clinical practices. Praseodymia (PrOx) nanorods (NRs) and nanoparticles (NPs) โ€ฆ

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Chemistry Preprint PDF DOI

Fault-tolerant Quantum Chemical Calculations with Improved Machine-Learning Models

Kai Yuan, Shuai Zhou, Ning Li, Tianyan Li, Bowen Ding, Danhuai Guo, Yingjin Ma ยท 2024

Easy and effective usage of computational resources is crucial for scientific calculations. Following our recent work of machine-learning (ML) assisted scheduling optimization [Ref: J. Comput. Chem. 2โ€ฆ

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Chemistry Preprint PDF DOI

Thermodynamics for Reduced Models of Chemical Reactions by PEA and QSSA

Liangrong Peng, Liu Hong ยท 2023

Partial equilibrium approximation (PEA) and quasi-steady-state approximation (QSSA) are two classical methods for reducing complex macroscopic chemical reactions into simple computable ones. Previous โ€ฆ

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Chemistry Preprint PDF DOI

AlphaMat: A Material Informatics Hub Connecting Data, Features, Models and Applications

Zhilong Wang, Junfei Cai, An Chen, Yanqiang Han, Kehao Tao, Simin Ye, Shiwei Wang, Imran Ali, Jinjin Li ยท 2023

The development of modern civil industry, energy and information technology is inseparable from the rapid explorations of new materials, which are hampered by months to years of painstaking attempts, โ€ฆ

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Chemistry Preprint PDF DOI

Concentration-Flux-Steered Mechanism Exploration with an Organocatalysis Application

Moritz Bensberg, Markus Reiher ยท 2022

Investigating a reactive chemical system with automated reaction network exploration algorithms provides a more detailed picture of its chemical mechanism than what would be accessible by manual invesโ€ฆ

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Chemistry Preprint PDF DOI

Coding Cross Sections of an Electron Charge Transfer Process

Emilia Valenca Ferreira de Aragao, Luca Mancini, Xiao He, Noelia Faginas-Lago, Marzio Rosi, Daniela Ascenzi, Fernando Pirani ยท 2022

The paper presents the algorithm of a code written for computing the cross section for a charge transfer process involving a neutral molecule and a monatomic ion. The entrance and exit potential energโ€ฆ

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Chemistry Preprint PDF DOI

Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach

Abhijit Gupta ยท 2022

Identifying reaction coordinates(RCs) is an active area of research, given the crucial role RCs play in determining the progress of a chemical reaction. The choice of the reaction coordinate is often โ€ฆ

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Chemistry Preprint PDF DOI

On the anti-quasi-steady-state conditions of enzyme kinetics

Justin Eilertsen, Santiago Schnell, Sebastian Walcher ยท 2021

Quasi-steady state reductions for the irreversible Michaelis--Menten reaction mechanism are of interest both from a theoretical and an experimental design perspective. A number of publications have beโ€ฆ

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Chemistry Preprint PDF DOI

Data-driven discovery of multiscale chemical reactions governed by the law of mass action

Juntao Huang, Yizhou Zhou, Wen-An Yong ยท 2021

In this paper, we propose a data-driven method to discover multiscale chemical reactions governed by the law of mass action. First, we use a single matrix to represent the stoichiometric coefficients โ€ฆ

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Chemistry Preprint PDF DOI

Stochastic enzyme kinetics and the quasi-steady-state reductions: Application of the slow scale linear noise approximation \`a la Fenichel

Justin Eilertsen, Kashvi Srivastava, Santiago Schnell ยท 2021

The linear noise approximation models the random fluctuations from the mean-field model of a chemical reaction that unfolds near the thermodynamic limit. Specifically, the fluctuations obey a linear Lโ€ฆ

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Chemistry Preprint PDF DOI

Automatic differentiation for coupled cluster methods

Fabijan Pavosevic, Sharon Hammes-Schiffer ยท 2020

Automatic differentiation is a tool for numerically calculating derivatives of a given function up to machine precision. This tool is useful for quantum chemistry methods, which require the calculatioโ€ฆ

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Chemistry Preprint PDF DOI

A Diffusion-Based Embedding of the Stochastic Simulation Algorithm in Continuous Space

Marcus Thomas, Russell Schwartz ยท 2020

A variety of simulation methodologies have been used for modeling reaction-diffusion dynamics -- including approaches based on Differential Equations (DE), the Stochastic Simulation Algorithm (SSA), Bโ€ฆ

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Chemistry Preprint PDF DOI

Reply to "Comment on 'An Alternative Approach for the Determination of Mean Free Paths of Electron Scattering in Liquid Water Based on Experimental Data'"

Axel Schild, Michael Peper, Conaill Perry, Dominik Rattenbacher, Hans Jakob Worner ยท 2020

In a recent comment, Ruth Signorell raises a number of issues that she considers to question the validity of our approach to determine mean free paths for electron scattering in liquid water and our cโ€ฆ

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