An overview of deep eutectic solvents: Alternative for organic electrolytes, aqueous systems & ionic liquids for electrochemical energy storage
As the demand for sustainable energy sources continues to rise, the need for efficient and
reliable energy storage systems becomes crucial. In order to effectively store and distribute …
reliable energy storage systems becomes crucial. In order to effectively store and distribute …
Untapped potential of deep eutectic solvents for the synthesis of bioinspired inorganic–organic materials
Since the discovery of deep eutectic solvents (DESs) in 2003, significant progress has been
made in the field, specifically advancing aspects of their preparation and physicochemical …
made in the field, specifically advancing aspects of their preparation and physicochemical …
Exploring temporal dynamics of river discharge using univariate long short-term memory (LSTM) recurrent neural network at East Branch of Delaware River
River flow prediction is a pivotal task in the field of water resource management during the
era of rapid climate change. The highly dynamic and evolving nature of the climatic …
era of rapid climate change. The highly dynamic and evolving nature of the climatic …
[HTML][HTML] Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents
We report a series of deep learning models to solve complex forward and inverse design
problems in molecular modeling and design. Using both diffusion models inspired by …
problems in molecular modeling and design. Using both diffusion models inspired by …
eutXG: A Machine-Learning Model to Understand and Predict the Melting Point of Novel X-Bonded Deep Eutectic Solvents
We present the application of an extreme gradient boosting model (eutXG) to predict the
melting point (MP) of deep eutectic solvents (DES). The model is based on XGBoost, a …
melting point (MP) of deep eutectic solvents (DES). The model is based on XGBoost, a …
Applying feature selection and machine learning techniques to estimate the biomass higher heating value
SA Abdollahi, SF Ranjbar, D Razeghi Jahromi - Scientific Reports, 2023 - nature.com
The biomass higher heating value (HHV) is an important thermal property that determines
the amount of recoverable energy from agriculture byproducts. Precise laboratory …
the amount of recoverable energy from agriculture byproducts. Precise laboratory …
Recent Advances in the Synthesis, Application and Economic Feasibility of Ionic Liquids and Deep Eutectic Solvents for CO2 Capture: A Review
Global warming is one of the major problems in the developing world, and one of the major
causes of global warming is the generation of carbon dioxide (CO2) because of the burning …
causes of global warming is the generation of carbon dioxide (CO2) because of the burning …
Predicting the formation of NADES using a transformer-based model
The application of natural deep eutectic solvents (NADES) in the pharmaceutical,
agricultural, and food industries represents one of the fastest growing fields of green …
agricultural, and food industries represents one of the fastest growing fields of green …
Forecasting heating and cooling loads in residential buildings using machine learning: A comparative study of techniques and influential indicators
B Mehdizadeh Khorrami, A Soleimani… - Asian Journal of Civil …, 2024 - Springer
Residential buildings are a significant source of energy consumption and greenhouse gas
emissions, making it crucial to accurately predict their energy demand for reducing their …
emissions, making it crucial to accurately predict their energy demand for reducing their …
Multivariate multi-step long short-term memory neural network for simultaneous stream-water variable prediction
Implementing multivariate predictive analysis to ascertain stream-water (SW) parameters
including dissolved oxygen, specific conductance, discharge, water level, temperature, pH …
including dissolved oxygen, specific conductance, discharge, water level, temperature, pH …