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๐Ÿ” yuning jiang ๐Ÿ“‚ Chemistry
Showing 1189 results for "yuning jiang" in Chemistry
Chemistry Preprint PDF DOI

Physics-based modeling of cyclic and calendar aging of LIBs with Si-Gr composite anodes

Micha C. J. Philipp, Lukas Kobbing, Alexander Karger, Andreas Jossen, Arnulf Latz, Birger Horstmann ยท 2026

Higher energy density and longer lifetime are the requirements for next-generation lithium-ion batteries. A promising anode material is silicon, which offers high specific capacity, but its significanโ€ฆ

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Chemistry Preprint PDF DOI

Solv-eze: Automated Placement of Explicit Water Molecules Using 3D-RISM

Felipe Silva Carvalho, Steven Ramsey, Tom Kurtzman, Tyler Luchko ยท 2026

Molecular dynamics (MD) simulations are widely used to study biological systems, where water molecules often play a critical role in protein-ligand interactions. In conventional MD preparation protocoโ€ฆ

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Chemistry Preprint PDF DOI

Effects of Porous Media Properties and Flow Environment on Drug Release from Porous Implants

Pawan Kumar Pandey, KVS Chaithanya, Prateek K. Jha ยท 2026

Drug-Filled Porous Implants (DFPIs) are an innovative solution for delivering drugs in a controlled and sustained manner to target sites. To optimize their performance across various physiological conโ€ฆ

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Chemistry Preprint PDF DOI

DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian, Shaodong Zhou ยท 2026

Ab initio calculations are fundamentally bottlenecked for large systems by the steep computational scaling of solving self-consistent field (SCF) equations. While machine learning offers potential accโ€ฆ

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Chemistry Preprint PDF DOI

Perspective on a challenge: predicting the photochemistry of cyclobutanone

Jiri Janos, Nanna Holmgaard List, Andrew J. Orr-Ewing, Jiri Suchan, Mario Barbatti, Olivia Bennett, Marcus Brady, Javier Carmona-Garcia, Rachel Crespo-Otero, Julien Eng, O. Jonathan Fajen, Marco Garavelli, Sandra Gomez, Alice E. Green, Federico J. Hernandez, Daniel Hollas, Lewis Hutton, Lea M. Ibele, Adam Kirrander, Zhenggang Lan, Yorick Lassmann, Joseph E. Lawrence, Benjamin G. Levine, Dmitry V. Makhov, Jonathan R. Mannouch, Xincheng Miao, Roland Mitric, Shane M. Parker, Thomas J. Penfold, Jiawei Peng, Jeremy O. Richardson, Dmitrii Shalashilin, Petr Slavicek, K. Eryn Spinlove, Patricia Vindel-Zandbergen, Federica Agostini, Sara Bonella, Todd J. Martinez, Graham A. Worth, Basile F. E. Curchod ยท 2026

This Perspective is part of a Special Topic that explored the maturity of nonadiabatic molecular dynamics for predicting photochemical processes. In 2023, a prediction challenge was issued to the commโ€ฆ

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Chemistry Preprint PDF DOI

Transferable excited-state dynamics enable screening of fluorescent protein chromophores

Rhyan Barrett, Sophia Wesely, Julia Westermayr ยท 2026

Transferable excited-state dynamics offer a route to efficient screening of photophysical behavior across molecular systems, but conventional nonadiabatic simulations remain prohibitively expensive. Hโ€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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Chemistry Preprint PDF DOI

Explicit Electric Potential-Embedded Machine Learning Framework: A Unified Description from Atomic to Electronic Scales

Jingwen Zhou, Yawen Yu, Xuwei Liu, Chungen Liu ยท 2026

To further develop accurate and large-scale simulations of electrochemical interfaces, we propose a unified explicit electric potential framework to simultaneously predict atomic forces and electron dโ€ฆ

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Chemistry Preprint PDF DOI

Non-Negative Least Squares Reweighting and Pruning of Quadrature Grids for Tensor Hypercontraction

Andreas Erbs Hillers-Bendtsen, Lixin Lu, Todd J. Martinez ยท 2026

Tensor hypercontraction provides an attractive four-center two-electron repulsion integral format that can lower the scaling of many electronic structure methods while only requiring O(N^2) memory. Hoโ€ฆ

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Chemistry Preprint PDF DOI

Role of anisotropic electronic friction in laser-driven hydrogen recombination on copper

Alexander Spears, Wojciech G. Stark, Reinhard J. Maurer ยท 2026

Ultrafast light-driven chemical dynamics at surfaces are governed by energy transfer from excited electrons to vibrational degrees of freedom. When this nonadiabatic energy transfer is anisotropic, itโ€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

Quantum coherence governs macroscopic polymorphism in organic semiconductors

Hai Wang, Tianhong Huang, Jiawei Chang ยท 2026

The wave-particle duality of massive macromolecules -- such as the fullerene C$_{60}$ -- is a well-established quantum phenomenon. However, whether the quantum behavior of large organic molecules actiโ€ฆ

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Chemistry Preprint PDF DOI

A theoretical and experimental assessment of adiabatic losses in force-gradient-detected magnetic resonance of nitroxide spin labels

Michael C. Boucher, Peter Sun, Eric W. Moore, John A. Marohn ยท 2026

We recently introduced a new theoretical description of Landau--Zener--St\"{u}ckelberg--Majorana (LZSM) transitions that accounts for both adiabatic and spin-dephasing losses during sweeps through resโ€ฆ

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Chemistry Preprint PDF DOI

Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo

P. Bernat Szabo, Zeno Schatzle, Frank Noe ยท 2026

A faithful description of chemical processes requires exploring extended regions of the molecular potential energy surface (PES), which remains challenging for strongly correlated systems. Transferablโ€ฆ

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Chemistry Preprint PDF DOI

A sustainable photocatalytic pathway for concurrent hydrogen and value-added chemical production utilizing microalgae as bio-scavenger in water

Ho Truong Nam Hai, Augusto Ducati Luchessi, Kaveh Edalati ยท 2026

Microalgae are an abundant bioorganic material source and play a significant role in life on Earth by conducting photosynthesis for carbon dioxide (CO2) capture and its conversion to oxygen (O2). In tโ€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

Overcoming sampling limitations using machine-learned interatomic potentials: the case of water-in-salt electrolytes

Luca Brugnoli, Mathieu Salanne, A. Marco Saitta, Alessandra Serva, Arthur France-Lanord ยท 2026

Machine-learned interatomic potentials hold the promise to enable the modeling of highly concentrated liquids over meaningful timescales, far from reach for current ab initio electronic structure methโ€ฆ

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Chemistry Preprint PDF DOI

olLOSC: Unified and efficient density functional approximation to correct delocalization error in molecules and periodic materials

Yichen Fan, Jacob Z. Williams, Weitao Yang ยท 2026

Density functional theory (DFT) is the most promising method for calculating quantum properties of molecules and materials at moderate and large scales. However, commonly used density functional approโ€ฆ

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Chemistry Preprint PDF DOI

Elucidating Norrish Type-I reactive pathways by ultrafast X-ray absorption spectroscopy

Martin Gra{ss}l, Pablo Unzueta, Andreas E. Hillers-Bendtsen, Yusong Liu, Diptarka Hait, Alice E. Green, Xinxin Cheng, Felix Allum, Taran Driver, Ruaridh Forbes, James. M. Glownia, Erik Isele, Kirk A. Larsen, Xiang Li, Ming-Fu Lin, Razib Obaid, Adam Summers, Emily Thierstein, Jun Wang, James P. Cryan, Matthias F. Kling, Todd J. Martinez, Thomas J. A. Wolf ยท 2026

Norrish type I reactions selectively cleave carbon-carbon bonds directly adjacent to carbonyl groups. Despite their broad use in combination with aromatic carbonyls for additive manufacturing and dentโ€ฆ

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Chemistry Preprint PDF DOI

TENSO: Software Package for Numerically Exact Open Quantum Dynamics Based on Efficient Tree Tensor Network Decomposition of the Hierarchical Equations of Motion

Juan C. Rodriguez Betancourt, Michelle C. Anderson, Luchang Niu, Xinxian Chen, Ignacio Franco ยท 2026

TENSO is a versatile and powerful open-source software package for numerically exact simulations of the dynamics of quantum systems immersed in structured thermal environments. It is based on a tree tโ€ฆ

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