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Related papers: AI-Guided Discovery of Novel Ionic Liquid Solvents…

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Industry uses various solvents in the processes of refrigeration and ventilation. Among them, the Ionic liquids (ILs) as the relatively new solvents, are known for their proven eco-friendly characteristics. In this research, a comprehensive…

Soft Condensed Matter · Physics 2020-03-16 Shahaboddin Shamshirband , Narjes Nabipour , Masoud Hadipoor , Alireza Baghban , Amir Mosavi

The increasing importance of carbon capture technologies for deployment in remediating CO2 emissions, and thus the necessity to improve capture materials to allow scalability and efficiency, faces the challenge of materials development,…

This study focuses on membrane-based systems for CO$_2$ separation, addressing the urgent need for efficient carbon capture solutions to mitigate climate change. Linear regression models, based on membrane equations, were utilized to…

Chemical Physics · Physics 2025-10-23 Bishwash Panerua , Biplov Paneru

Ionic liquids (ILs) are an emerging group of chemical compounds which possess promising properties such as having negligible vapor pressure. These so called designer solvents have the potential to replace volatile organic compounds in…

Chemical Physics · Physics 2016-12-06 A. Mehrkesh , A. T. Karunanithi

Efficient CO2 capture is vital for mitigating climate change, with amine-based solvents being widely used due to their strong reactivity with CO2. However, optimizing key properties such as basicity, viscosity, and absorption capacity…

Machine Learning · Computer Science 2025-06-03 Hocheol Lim , Hyein Cho , Jeonghoon Kim

By 2035, the need for battery-grade lithium is expected to quadruple. About half of this lithium is currently sourced from brines and must be converted from a chloride into lithium carbonate (Li2CO3) through a process called softening.…

Metal-organic frameworks (MOFs) exhibit great promise for CO2 capture. However, finding the best performing materials poses computational and experimental grand challenges in view of the vast chemical space of potential building blocks.…

The generation of molecules with Artificial Intelligence (AI) is poised to revolutionize materials discovery. Potential applications range from development of potent drugs to efficient carbon capture and separation technologies. However,…

Capture and conversion of CO2 are of great importance for environment-friendly and sustainable development of human society. Poly(ionic liquid)s (PILs) combine some unique properties of ILs with that of polymers and are versatile materials…

Chemical Physics · Physics 2019-01-16 Xianjing Zhou , Jens Weber , Jiayin Yuan

Ionic liquids (ILs) constitute one of the most active fields of research nowadays. Many organic and inorganic molecules can be converted into ions via relatively simple procedures. These ions can be combined into ILs. Amino acid based ILs…

Materials Science · Physics 2015-01-09 Eudes Eterno Fileti , Vitaly V. Chaban

Climate emergency has led to the investigation of CO$_{2}$ valorization routes. A competitive process included in this framework is the catalytic CO$_{2}$ cycloaddition to epoxides, to produce cyclic carbonates. Halide-based Ionic liquids…

Soft Condensed Matter · Physics 2025-03-17 Sergio Dorado-Alfaro , Elisa Hernández , Jesús Algaba , Pablo Navarro , Felipe J. Blas , José Palomar

Artificial Intelligence algorithms are introduced in this work as a tool to predict the performance of new chemical compounds as alternative propellants for electric propulsion, focusing on predicting their ionisation characteristics and…

Instrumentation and Methods for Astrophysics · Physics 2025-10-01 Angel Pan Du , Miguel Arana-Catania , Enric Grustan Gutiérrez

Artificial intelligence holds promise to improve materials discovery. GFlowNets are an emerging deep learning algorithm with many applications in AI-assisted discovery. By using GFlowNets, we generate porous reticular materials, such as…

Computational Engineering, Finance, and Science · Computer Science 2024-09-20 Flaviu Cipcigan , Jonathan Booth , Rodrigo Neumann Barros Ferreira , Carine Ribeiro dos Santos , Mathias Steiner

We present design methods and insights for CO2 capture, transport, and storage systems for clusters of industrial facilities, with a case-study focus on the state of Louisiana. Our analytical framework includes: (1) evaluating the scale and…

General Economics · Economics 2024-03-27 Tubagus Aryandi Gunawan , Lilianna Gittoes , Cecelia Isaac , Chris Greig , Eric Larson

The primary target of this paper is to present novel compounds in view of their possible use as oxidizers in propulsion applications using molecular modeling calculations and supersonic flow simulations. Carbon-based heterocyclic compounds…

High Energy Physics - Experiment · Physics 2022-03-23 Pujan Biswas , Sudarshan Kumar , Neeraj Kumbhakarna

Catalytic-materials design requires predictive modeling of the interaction between catalyst and reactants. This is challenging due to the complexity and diversity of structure-property relationships across the chemical space. Here, we…

Subsurface sequestration of CO2 has received attention from the global scientific community in response to climate change concerns due to higher concentrations of CO2 in the atmosphere. Mathematical models have thus been developed to aid…

Computational Physics · Physics 2020-04-28 Feyi Olalotiti-Lawal , Shusei Tanaka , Akhil Datta-Gupta

The extra CO2 that has already been released into the atmosphere has to be removed in order to create a world that is carbon neutral. Technologies have been created to remove carbon dioxide from wet flue gas or even directly from ambient…

Sensors are routinely mounted on robots to acquire various forms of measurements in spatio-temporal fields. Locating features within these fields and reconstruction (mapping) of the dense fields can be challenging in resource-constrained…

Robotics · Computer Science 2019-01-29 Martin Asenov , Marius Rutkauskas , Derryck Reid , Kartic Subr , Subramanian Ramamoorthy

Direct air capture (DAC) of carbon dioxide is a critical technology for mitigating climate change, but current materials face limitations in efficiency and scalability. We discover novel DAC materials using a combined machine learning (ML)…

Materials Science · Physics 2024-10-21 Megan C. Davis , Wilton J. M. Kort-Kamp , Ivana Matanovic , Piotr Zelenay , Edward F. Holby
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