Skip to content

Dynamics and Structure of Room Temperature Ionic Liquids: Ultrafast IR Experiments and MD Simulations of the Ion Cage Model

Oct 2026 · Journal of the American Chemical Society · 44 references
Ionic liquids properties and applications

Abstract

Abstract Dynamics in room-temperature ionic liquids (ILs) and the solvation of charged and neutral molecules are important to applications of ILs in battery technology, organic synthesis, and many other areas. Using ultrafast IR spectroscopy, pulse-field-gradient (pfg) NMR, and MD simulations, we investigated three ionic liquids that share the same cation but differ in their anions. IR polarization-selective pump-probe and 2D IR experiments were performed on a negatively charged probe, thiocyanate, to investigate IL dynamics. It was found that thiocyanate is an excellent surrogate for the IL anions. We employed a neutral probe, methylthiocyanate, to determine how a neutral solute’s dynamics and interactions differ from those of the RTIL ions. The pfg-NMR experiments, performed on all liquids and species, measured the translational diffusion constants. Extensive molecular dynamics simulations were performed to understand the experimental observables within the IL cage model, in which cations surround an anion (anion cage), and anions surround a cation (cation cage) for all ionic species, including the ionic probe. The neutral probe is surrounded by a combination of cations and anions (neutral probe cage). The cage model shows that the dynamical properties, including translational diffusion, orientational diffusion, and viscosity, are determined by the cage escape time, te, i.e., the time for an ion to leave the group of ions surrounding an ion of the opposite charge or the neutral probe. It is observed that te is correlated with the slowest component of the cage structural fluctuations measured by 2D IR.

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.