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๐Ÿ” program development ๐Ÿ“‚ Chemistry
Showing 1184 results for "program development" in Chemistry
Chemistry Preprint PDF DOI

AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities

Amirali Shateri, Zhiyin Yang, Yuying Yan, Manosh C. Paul, Jianfei Xie ยท 2026

Recent advances in combustion science have led to the generation of large volumes of data from high-fidelity simulations, detailed chemical-kinetic calculations and engine-relevant measurements and crโ€ฆ

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Chemistry Preprint PDF DOI

Computational Design and Experimental Validation of Photoactive PARP1 Inhibitors

Simon Axelrod, Miroslav Kaspar, Kristyna Jelinkova, Marketa Smidkova, Erika Bartunkova, Sille Stepanova, Eugene Shakhnovich, Vaclav Kasicka, Martin Dracinsky, Zlatko Janeba, Rafael Gomez-Bombarelli ยท 2026

Light-activated drugs are a promising way to treat localized diseases for which existing treatments have severe side effects. However, their development is complicated by the set of photophysical and โ€ฆ

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Chemistry Preprint PDF DOI

Restoring the Conical Intersection Topology using Convex Density Functional Theory

Federico Rossi, Tommaso Giovannini, Henrik Koch ยท 2026

Conical intersections are central to the description of photophysics and photochemistry. Nevertheless, in non-adiabatic molecular dynamics simulations, they are fundamentally challenging for single-reโ€ฆ

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Chemistry Preprint PDF DOI

Beyond the Virial Expansion: Microscopic Origins of Partial Molar Volumes in LiCl Solutions

Chun-Ting Lin, Diganta Dasgupta, Tinglu Yang, Cesare Malosso, Giulia Sormani, Colin Egan, Giovanni Bussi, Ali Hassanali, Paul S. Cremer ยท 2026

Although electrolyte density measurements have been reported for over a century, employing them to obtain accurate partial molar volume (PMV) profiles as a function of salt concentration has remained โ€ฆ

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Chemistry Preprint PDF DOI

Geminal wavefunction models in chemistry

Pratiksha Gaikwad, Krisztina Zsigmond, Ramon Alain Miranda-Quintana ยท 2026

Geminal wavefunctions, introduced in the late 1950s, have long been recognized for their ability to compactly capture strong electron correlation. Despite their promise, they were historically overshaโ€ฆ

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Chemistry Preprint PDF DOI

Ensemble density functional theory of excited states: Exact N-centered formalism and practical opportunities

Lucien Dupuy, Toni Chiti, Jeremy Morere, Emmanuel Fromager ยท 2026

Ground-state electronic structure calculations using Kohn-Sham density functional theory (KS-DFT) offer an unprecedented balance between efficiency and accuracy, now paradigmatic to the fields of quanโ€ฆ

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Chemistry Preprint PDF DOI

Inverse Design of Inorganic Compounds with Generative AI

Hannes Kneiding, Lucia Moran-Gonzalez, Nishamol Kuriakose, Ainara Nova, David Balcells ยท 2026

Machine learning is revolutionizing chemistry. Beyond the value of predictive models accelerating virtual screening, generative AI aims at enabling inverse design, reversing the compound-to-property pโ€ฆ

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Chemistry Preprint PDF DOI

The BOS-TMC Dataset: DFT Properties of 159k Experimentally Characterized Transition Metal Complexes Spanning Multiple Charge and Spin States

Aaron G. Garrison, Jacob W. Toney, Tatiana Nikolaeva, Roland G. St. Michel, Christopher J. Stein, Heather J. Kulik ยท 2026

We present the Boston Open-Shell Transition Metal Complex (BOS-TMC) dataset, a set of density functional theory (DFT) properties for 159k experimentally characterized mononuclear transition metal compโ€ฆ

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Reference Energies for Non-Relativistic Core Ionization Potentials

Antoine Marie, Loris Burth, Pierre-Francois Loos ยท 2026

Deep-lying core electrons carry highly localized, site-specific information that forms the basis of X-ray photoelectron spectroscopy. Accurately predicting their associated core ionization potentials โ€ฆ

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Accessing the performance of CC2 for excited state dynamics: a benchmark study with pyrazine

Rui-Hao Bi, Chongxiao Zhao, Ruixin Sun, Wenjie Dou ยท 2026

In this work, we access the performance of RI-CC2 for ultrafast internal conversion using pyrazine as a benchmark system. We implement analytical gradients and nonadiabatic coupling vectors for RI-CC2โ€ฆ

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Chemistry Preprint PDF DOI

PyGSC: A Python tool for correcting Kohn-Sham orbital energies by mitigating the delocalization error of density functional approximations

Zipeng An, Xiaolong Yang, Xiao Zheng, Weitao Yang ยท 2026

Density functional approximations (DFAs) suffer from delocalization error, which limits their accuracy in predicting electron affinities (EAs), ionization potentials (IPs), and quasiparticle energies.โ€ฆ

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Chemistry Preprint PDF DOI

TUNA: A streamlined quantum chemistry program for atoms and diatomics

Harry Brough ยท 2026

We present TUNA, an open-source quantum chemistry program specifically designed for atoms and diatomic molecules. Within this narrow molecular domain, a broad and consistent set of electronic structurโ€ฆ

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Chemistry Preprint PDF DOI

Hunting for quantum advantage in electronic structure calculations is a highly non-trivial task

Ors Legeza, Andor Menczer, Miklos Antal Werner, Sotiris S. Xantheas, Frank Neese, Martin Ganahl, Cole Brower, Samuel Rodriguez Bernabeu, Jeff Hammond, John Gunnels ยท 2026

In light of major developments over the past decades in both quantum computing and simulations on classical hardware, it is a serious challenge to identify a real-world problem where quantum advantageโ€ฆ

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Chemistry Preprint PDF DOI

Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning

Vivienne Pelletier, Vedant Bhat, Daniel J. Rivera, Steven A. Wilson, Christopher L. Muhich ยท 2026

Machine-learned interatomic potentials (MLIPs), particularly graph neural network (GNN)-based models, offer a promising route to achieving near-density functional theory (DFT) accuracy at significantlโ€ฆ

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Chemistry Preprint PDF DOI

Stable, Fast, and Accurate Kohn-Sham Inversion in Gaussian Basis for Open Shell Molecular and Condensed Phase Systems via Density Matrix Penalization

Ziwei Chai, Sandra Luber ยท 2026

Here we present a density matrix based KS inversion method formulated entirely within a Gaussian basis representation to optimize a KS potential matrix that reproduces a target electron density. Inverโ€ฆ

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Chemistry Preprint PDF DOI

A Lanczos-based algorithm for sum-over-states calculations of NMR spin--spin coupling constants at the RPA level of theory: The Fermi-contact term

Sarah L. V. Zahn, Luna Zamok, Sonia Coriani, Stephan P. A. Sauer ยท 2026

The analysis of nuclear magnetic resonance parameters, such as the indirect nuclear spin-spin coupling constants, in terms of contributions from localised molecular orbitals is a commonly used approacโ€ฆ

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Chemistry Preprint PDF DOI

Quantum Field Approaches to Chemical Systems

Reza Karimpour, Matteo Gori, Alexandre Tkatchenko ยท 2026

Quantum-matter theory (QMT), based on the Schr\"odinger or Dirac equations, is firmly established for both intra- and intermolecular interactions. However, there are two key issues with QMT. First, itโ€ฆ

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Carbon black and hydrogen production from methane pyrolysis: measured and modeled insights from integrated gas and particle diagnostics in shock tubes

Gibson Clark, Mohammad Adib, Chengze Li, Taylor M. Rault, Jesse W. Streicher, Enoch Dames, M. Reza Kholghy, Ronald K. Hanson ยท 2026

Methane (CH4) pyrolysis is a promising route to co-produce hydrogen (H2) and carbon black (CB) while avoiding emissions associated with steam-methane reforming and furnace black processes. Model develโ€ฆ

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Chemistry Preprint PDF DOI

The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project

Qiming Sun, Matthew R Hermes, Xiaojie Wu, Huanchen Zhai, Xing Zhang, Abdelrahman M. Ahmed, Juan Jose Aucar, Oliver J. Backhouse, Samragni Banerjee, Peng Bao, Nikolay A. Bogdanov, Kyle Bystrom, Frederic Chapoton, Ning-Yuan Chen, Ivan Yu. Chernyshov, Helen S. Clifford, Sander Cohen-Janes, Zhi-Hao Cui, Yann D. Damour, Nike Dattani, Linus Bjarne Dittmer, Sebastian Ehlert, Janus Juul Eriksen, Francesco A. Evangelista, Simon A. Ewing, Ardavan Farahvash, Kevin Focke, Yang Gao, Kevin E. Gasperich, Nathan Gillispie, Jonas Greiner, Matthew R. Hennefarth, Jan Hermann, Christopher Hillenbrand, Joonatan Huhtasalo, Basil Ibrahim, Bhavnesh Jangid, Alireza Nejati Javaremi, Andrew J. Jenkins, Yu Jin, Daniel S. King, Derk Pieter Kooi, Jo S. Kurian, Henrik R. Larsson, Bryan Tak Gwong Lau, Seunghoon Lee, Susi Lehtola, Chenghan Li, Hao Li, Jiachen Li, Rui Li, Shuhang Li, Aleksandr O. Lykhin, Ankit Mahajan, Nastasia Mauger, Pablo del Mazo-Sevillano, Jonathan Moussa, Kousuke Nakano, Verena A. Neufeld, Linqing Peng, Hung Q. Pham, Peter Pinski, Pavel Pokhilko, Zhichen Pu, Yubing Qian, Stephen Jon Quiton, Wanja T. Schulze, Thais R. Scott, Aniruddha Seal, James D. Serna, James E. T. Smith, Kori E. Smyser, Terrence Stahl, Chong Sun, Kevin J. Sung, Egor Trushin, Shiv Upadhyay, Ethan A. Vo, Thijs Vogels, Shirong Wang, Tai Wang, Xiao Wang, Xubo Wang, Yuanheng Wang, Mark Williamson, Junjie Yang, Hong-Zhou Ye, Chia-Nan Yeh, Haiyang Yu, Jincheng Yu, Victor Wen-zhe Yu, Chaoqun Zhang, Dayou Zhang, Yichi Zhang, Zijun Zhao, Zehao Zhou, Andrew J. Zhu, Tianyu Zhu, Timothy C. Berkelbach, Laura Gagliardi, Sandeep Sharma, Alexander Sokolov, Garnet Kin-Lic Chan ยท 2026

Over the past decade, the Python-based Simulations of Chemistry Framework (PySCF) has developed into a widely used open-source platform for electronic structure theory and quantum chemical method deveโ€ฆ

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Chemistry Preprint PDF DOI

Micropatterning photopolymerizable hydrogels for diffusion studies using pillar arrays or photomasks

Sevgi Onal, Edmondo Battista, Hilal Nasir, Fabio Formiggini, Valentina Mollo, Raffaele Vecchione, Paolo Netti ยท 2026

In situ polymerization and micropatterning of hydrogels on-chip opens the potential for many applications such as tracking and controlling the diffusion of molecules, stimulants, inhibitors, as well aโ€ฆ

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