Application of machine learning techniques to the modeling of … – Nature.com
Nunes, L. J. R., Causer, T. P. & Ciolkosz, D. Biomass for energy: A review on supply chain management models. Renew. Sustain. Energy Rev. 120, 109658 (2020).
Article Google Scholar
Wang, G. et al. A review of recent advances in biomass pyrolysis. Energy Fuels 34, 1555715578 (2020).
Article CAS Google Scholar
Osman, A. I. et al. Conversion of biomass to biofuels and life cycle assessment: A review. Environ. Chem. Lett. 19, 40754118 (2021).
Article CAS Google Scholar
Bakhtyari, A., Makarem, M. A. & Rahimpour, M. R. Bioenergy Systems for the Future 87148 (Woodhead Publishing, 2017).
Book Google Scholar
Testa, M. L. & Tummino, M. L. Lignocellulose biomass as a multifunctional tool for sustainable catalysis and chemicals: An overview. Catalysts 11, 125 (2021).
Article CAS Google Scholar
Lin, C.-Y. & Lu, C. Development perspectives of promising lignocellulose feedstocks for production of advanced generation biofuels: A review. Renew. Sustain. Energy Rev. 136, 110445 (2021).
Article CAS Google Scholar
Wang, C. et al. A review of conversion of lignocellulose biomass to liquid transport fuels by integrated refining strategies. Fuel Process. Technol. 208, 106485 (2020).
Article CAS Google Scholar
Yamaguchi, A., Sato, O., Mimura, N. & Shirai, M. Catalytic production of sugar alcohols from lignocellulosic biomass. Catal. Today 265, 199202. https://doi.org/10.1016/j.cattod.2015.08.026 (2016).
Article CAS Google Scholar
Erian, A. M. & Sauer, M. Utilizing yeasts for the conversion of renewable feedstocks to sugar alcohols: A review. Bioresour. Technol. 346, 126296. https://doi.org/10.1016/j.biortech.2021.126296 (2022).
Article CAS PubMed Google Scholar
da Costa Lopes, A. M., Joo, K. G., Morais, A. R. C., Bogel-ukasik, E. & Bogel-ukasik, R. Ionic liquids as a tool for lignocellulosic biomass fractionation. Sustain. Chem. Process. 1, 131 (2013).
Article Google Scholar
Abbasi, A. R. et al. Recent advances in producing sugar alcohols and functional sugars by engineering Yarrowia lipolytica. Front. Bioeng. Biotechnol. 9, 648382 (2021).
Article PubMed PubMed Central Google Scholar
Fickers, P., Cheng, H. & SzeKiLin, C. Sugar alcohols and organic acids synthesis in Yarrowia lipolytica: Where are we?. Microorganisms 8, 574 (2020).
Article CAS PubMed PubMed Central Google Scholar
Park, Y.-C., Oh, E. J., Jo, J.-H., Jin, Y.-S. & Seo, J.-H. Recent advances in biological production of sugar alcohols. Curr. Opin. Biotechnol. 37, 105113 (2016).
Article CAS PubMed Google Scholar
Grembecka, M. Sugar alcoholstheir role in the modern world of sweeteners: A review. Eur. Food Res. Technol. 241, 114 (2015).
Article CAS Google Scholar
Amarasekara, A. S. Ionic liquids in biomass processing. Isr. J. Chem. 59, 789802 (2019).
Article CAS Google Scholar
Tan, S. S. Y. & MacFarlane, D. R. Ionic liquids in biomass processing. Ionic Liquids 1, 311339 (2009).
Article Google Scholar
Rajamani, S., Santhosh, R., Raghunath, R. & Jadhav, S. A. Value-added chemicals from sugarcane bagasse using ionic liquids. Chem. Pap. 75, 56055622 (2021).
Article CAS Google Scholar
Parvaneh, K., Rasoolzadeh, A. & Shariati, A. Modeling the phase behavior of refrigerants with ionic liquids using the QC-PC-SAFT equation of state. J. Mol. Liq. 274, 497504. https://doi.org/10.1016/j.molliq.2018.10.116 (2019).
Article CAS Google Scholar
Singh, S. K. & Savoy, A. W. Ionic liquids synthesis and applications: An overview. J. Mol. Liq. 297, 112038 (2020).
Article CAS Google Scholar
Sedghamiz, M. A., Rasoolzadeh, A. & Rahimpour, M. R. The ability of artificial neural network in prediction of the acid gases solubility in different ionic liquids. J. CO2 Util. 9, 3947. https://doi.org/10.1016/j.jcou.2014.12.003 (2015).
Article CAS Google Scholar
Rasoolzadeh, A. et al. A thermodynamic framework for determination of gas hydrate stability conditions and water activity in ionic liquid aqueous solution. J. Mol. Liq. 347, 118358 (2022).
Article CAS Google Scholar
Setiawan, R., Daneshfar, R., Rezvanjou, O., Ashoori, S. & Naseri, M. Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence. Environ. Dev. Sustain. 23, 1760617627 (2021).
Article Google Scholar
Rasoolzadeh, A., Javanmardi, J., Eslamimanesh, A. & Mohammadi, A. H. Experimental study and modeling of methane hydrate formation induction time in the presence of ionic liquids. J. Mol. Liq. 221, 149155. https://doi.org/10.1016/j.molliq.2016.05.016 (2016).
Article CAS Google Scholar
Welton, T. Ionic liquids: A brief history. Biophys. Rev. 10, 691706 (2018).
Article CAS PubMed PubMed Central Google Scholar
Brandt, A., Grsvik, J., Hallett, J. P. & Welton, T. Deconstruction of lignocellulosic biomass with ionic liquids. Green Chem. 15, 550583 (2013).
Article CAS Google Scholar
Reddy, P. A critical review of ionic liquids for the pretreatment of lignocellulosic biomass. S. Afr. J. Sci. 111, 19 (2015).
Article Google Scholar
Tu, W.-C. & Hallett, J. P. Recent advances in the pretreatment of lignocellulosic biomass. Curr. Opin. Green Sustain. Chem. 20, 1117 (2019).
Article Google Scholar
Usmani, Z. et al. Ionic liquid based pretreatment of lignocellulosic biomass for enhanced bioconversion. Biores. Technol. 304, 123003 (2020).
Article CAS Google Scholar
Roy, S. & Chundawat, S. P. S. Ionic liquid-based pretreatment of lignocellulosic biomass for bioconversion: A critical review. BioEnergy Res. 1, 116 (2022).
Google Scholar
Xia, Z. et al. Processing and valorization of cellulose, lignin and lignocellulose using ionic liquids. J. Bioresour. Bioprod. 5, 7995 (2020).
Article CAS Google Scholar
Carneiro, A. P., Rodrguez, O. & Macedo, E. A. Solubility of monosaccharides in ionic liquids: Experimental data and modeling. Fluid Phase Equilib. 314, 2228 (2012).
Article CAS Google Scholar
Carneiro, A. P., Rodrguez, O. & Macedo, E. A. Solubility of xylitol and sorbitol in ionic liquids: Experimental data and modeling. J. Chem. Thermodyn. 55, 184192 (2012).
Article CAS Google Scholar
Carneiro, A. P., Held, C., Rodriguez, O., Sadowski, G. & Macedo, E. A. Solubility of sugars and sugar alcohols in ionic liquids: Measurement and PC-SAFT modeling. J. Phys. Chem. B 117, 99809995 (2013).
Article CAS PubMed Google Scholar
Carneiro, A. P., Rodrguez, O. & Macedo, E. N. A. Fructose and glucose dissolution in ionic liquids: Solubility and thermodynamic modeling. Ind. Eng. Chem. Res. 52, 34243435 (2013).
Article CAS Google Scholar
Mohan, M., Goud, V. V. & Banerjee, T. Solubility of glucose, xylose, fructose and galactose in ionic liquids: Experimental and theoretical studies using a continuum solvation model. Fluid Phase Equilib. 395, 3343 (2015).
Article CAS Google Scholar
Mohan, M., Banerjee, T. & Goud, V. V. Solid liquid equilibrium of cellobiose, sucrose, and maltose monohydrate in ionic liquids: Experimental and quantum chemical insights. J. Chem. Eng. Data 61, 29232932 (2016).
Article CAS Google Scholar
Paduszynski, K., Okuniewski, M. & Domanska, U. Sweet-in-green systems based on sugars and ionic liquids: New solubility data and thermodynamic analysis. Ind. Eng. Chem. Res. 52, 1848218491 (2013).
Article CAS Google Scholar
Paduszyski, K., Okuniewski, M. & Domaska, U. Solidliquid phase equilibria in binary mixtures of functionalized ionic liquids with sugar alcohols: New experimental data and modelling. Fluid Phase Equilib. 403, 167175 (2015).
Article Google Scholar
Paduszyski, K., Okuniewski, M. & Domaska, U. An effect of cation functionalization on thermophysical properties of ionic liquids and solubility of glucose in themmeasurements and PC-SAFT calculations. J. Chem. Thermodyn. 92, 8190 (2016).
Article Google Scholar
Teles, A. R. R. et al. Solubility and solvation of monosaccharides in ionic liquids. Phys. Chem. Chem. Phys. 18, 1972219730 (2016).
Article CAS PubMed PubMed Central Google Scholar
Yang, X., Wang, J. & Fang, Y. Solubility and solution thermodynamics of glucose and fructose in three asymmetrical dicationic ionic liquids from 323.15 K to 353.15 K. J. Chem. Thermodyn. 139, 105879 (2019).
Article CAS Google Scholar
Abbasi, M., Pazuki, G., Raisi, A. & Baghbanbashi, M. Thermophysical and rheological properties of sorbitol+([mmim](MeO)2PO2) ionic liquid solutions: Solubility, density and viscosity. Food Chem. 320, 126566 (2020).
Article CAS PubMed Google Scholar
Zarei, S., Abdolrahimi, S. & Pazuki, G. Thermophysical characterization of sorbitol and 1-ethyl-3-methylimidazolium acetate mixtures. Fluid Phase Equilib. 497, 140150 (2019).
Article Google Scholar
Ruiz-Aceituno, L., Carrero-Carralero, C., Ramos, L. & Sanz, M. L. Selective fractionation of sugar alcohols using ionic liquids. Sep. Purif. Technol. 209, 800805 (2019).
Article CAS Google Scholar
Jeon, P. R. & Lee, C.-H. Artificial neural network modelling for solubility of carbon dioxide in various aqueous solutions from pure water to brine. J. CO2 Util. 47, 101500 (2021).
Article CAS Google Scholar
Amar, M. N. Modeling solubility of sulfur in pure hydrogen sulfide and sour gas mixtures using rigorous machine learning methods. Int. J. Hydrogen Energy 45, 3327433287 (2020).
Article Google Scholar
Hemmati-Sarapardeh, A., Amar, M. N., Soltanian, M. R., Dai, Z. & Zhang, X. Modeling CO2 solubility in water at high pressure and temperature conditions. Energy Fuels 34, 47614776 (2020).
Article CAS Google Scholar
Vanani, M. B., Daneshfar, R. & Khodapanah, E. A novel MLP approach for estimating asphaltene content of crude oil. Pet. Sci. Technol. 37, 22382245 (2019).
Article CAS Google Scholar
Daneshfar, R., Keivanimehr, F., Mohammadi-Khanaposhtani, M. & Baghban, A. A neural computing strategy to estimate dew-point pressure of gas condensate reservoirs. Pet. Sci. Technol. 38, 706712 (2020).
Article CAS Google Scholar
Bakhtyari, A., Mofarahi, M. & Iulianelli, A. Combined mathematical and artificial intelligence modeling of catalytic bio-methanol conversion to dimethyl ether. Energy Convers. Manag. 276, 116562. https://doi.org/10.1016/j.enconman.2022.116562 (2023).
Article CAS Google Scholar
Read more here:
Application of machine learning techniques to the modeling of ... - Nature.com
- HS-SPME/GCMS and Machine Learning Enable Volatile Fingerprinting and Classification of Commercial Vinegars - Chromatography Online - April 12th, 2026 [April 12th, 2026]
- Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now? - Cureus - April 12th, 2026 [April 12th, 2026]
- CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic... - April 12th, 2026 [April 12th, 2026]
- Machine-learning-based reconstruction of Ming-dynasty defensive corridors in Yuxian - Nature - April 12th, 2026 [April 12th, 2026]
- Have you published a disruptive paper? New machine-learning tool helps you check - Physics World - April 12th, 2026 [April 12th, 2026]
- Microsoft is automatically updating Windows 11 24H2 to 25H2 using machine learning - TweakTown - April 5th, 2026 [April 5th, 2026]
- Inside the Magic of Machine Learning That Powers Enemy AI in Arc Raiders - 80 Level - April 3rd, 2026 [April 3rd, 2026]
- We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents observations - The... - April 3rd, 2026 [April 3rd, 2026]
- Boston University To Apply Machine Learning To Alzheimers Biomarker And Cognitive Data - Quantum Zeitgeist - April 3rd, 2026 [April 3rd, 2026]
- Sony buys machine-learning company to help "enhance gameplay visuals, improve rendering techniques, and unlock new levels of visual... - April 3rd, 2026 [April 3rd, 2026]
- The Machine Learning Stack Is Being Rebuilt From Scratch Here's What Developers Need to Know in 2026 - HackerNoon - April 3rd, 2026 [April 3rd, 2026]
- Closing the Revenue Gap: Leveraging Machine Learning to Solve the $260 Billion Denial Crisis - vocal.media - April 3rd, 2026 [April 3rd, 2026]
- Machine Learning for Pharmaceuticals Set to Witness Rapid - openPR.com - April 3rd, 2026 [April 3rd, 2026]
- You Must Address These 4 Concerns To Deploy Predictive AI - Machine Learning Week US - March 30th, 2026 [March 30th, 2026]
- Google and the rise of space-based machine learning - Latitude Media - March 30th, 2026 [March 30th, 2026]
- Researchers use machine learning and social network theory to identify formation patterns in digital forums - techxplore.com - March 30th, 2026 [March 30th, 2026]
- Mayo Clinic Study Uses Wearables and Machine Learning to Predict COPD Rehab Participation - HIT Consultant - March 30th, 2026 [March 30th, 2026]
- Machine learning at the edge in retail: constraints and gains - IoT News - March 26th, 2026 [March 26th, 2026]
- AI agents are flashy, but machine learning still pays the bills - TechRadar - March 26th, 2026 [March 26th, 2026]
- Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress - Phys.org - March 26th, 2026 [March 26th, 2026]
- Machine learning analysis of CT scans - National Institutes of Health (.gov) - March 22nd, 2026 [March 22nd, 2026]
- TransUnion Machine Learning Fraud Tools Tested Against Weak Share Price Momentum - simplywall.st - March 22nd, 2026 [March 22nd, 2026]
- Machine learning could help predict how people with depression respond to treatment - Medical Xpress - March 22nd, 2026 [March 22nd, 2026]
- KR approves machine learning-based fuel reduction methodology - Smart Maritime Network - March 22nd, 2026 [March 22nd, 2026]
- Available solar energy in Andalusia will increase through the end of the century, machine learning model finds - Tech Xplore - March 22nd, 2026 [March 22nd, 2026]
- How Machine Learning Is Reshaping Environmental Policy and Water Governance - Devdiscourse - March 22nd, 2026 [March 22nd, 2026]
- Chemistry student uses machine learning to transform gene therapy production - The University of North Carolina at Chapel Hill - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - City of Brownsville to build smart city safety solution - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - London borough overhauls public safety infrastructure - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- Titan Technology Corp. Responds to Alberta Innovates RFP AI, Machine Learning and Automation Services - TradingView - March 13th, 2026 [March 13th, 2026]
- Vietnam FPT's AI automation solution secures new machine learning patent on overseas market - VnExpress International - March 13th, 2026 [March 13th, 2026]
- AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine - Tech Times - March 13th, 2026 [March 13th, 2026]
- Future Perspectives: Key Trends Shaping the Machine Learning Market in Financial Services Until 2030 - openPR.com - March 13th, 2026 [March 13th, 2026]
- How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathys AutoResearch Framework for Hyperparameter Discovery... - March 13th, 2026 [March 13th, 2026]
- The Arc in Arc Raiders have multiple "brains," and they all love pursuing you because Embark gives them "rewards" in real-time via... - March 13th, 2026 [March 13th, 2026]
- OnPoint AI to Present its Augmented Reality and Machine Learning Surgical Platform at the 2026 Canaccord Genuity Musculoskeletal Conference - Yahoo... - February 27th, 2026 [February 27th, 2026]
- TD Bank continues to develop AI, machine learning tools - Auto Finance News - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning - Tech companies team to scale private 5G and physical AI - Smart Cities World - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning in Dating Apps: Smarter Matchmaking Algorithms - Programming Insider - February 27th, 2026 [February 27th, 2026]
- Machine-Learning App Helps Anesthesiologists Navigate Critical Surgical Equipment in Real Time - Carle Illinois College of Medicine - February 24th, 2026 [February 24th, 2026]
- Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery - Yahoo Finance - February 24th, 2026 [February 24th, 2026]
- How Brain Data and Machine Learning Could Transform the Aging Industry - gritdaily.com - February 24th, 2026 [February 24th, 2026]
- AI and machine learning trends for Arizona leaders to watch in healthcare delivery and traveler services - AZ Big Media - February 24th, 2026 [February 24th, 2026]
- AI and machine learning are the future of Wi-Fi management: WBA report - Telecompetitor - February 22nd, 2026 [February 22nd, 2026]
- Machine learning streamlines the complexities of making better proteins - Science News - February 20th, 2026 [February 20th, 2026]
- WBA Publishes Guidance on Artificial Intelligence and Machine Learning for Intelligent Wi-Fi - ARC Advisory Group - February 20th, 2026 [February 20th, 2026]
- Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer - Nature - February 20th, 2026 [February 20th, 2026]
- Exploring Machine Learning at the DOF - University of the Philippines Diliman - February 20th, 2026 [February 20th, 2026]
- AI and Machine Learning - Where US agencies are finding measurable value from AI - Smart Cities World - February 20th, 2026 [February 20th, 2026]
- Modeling visual perception of Chinese classical private gardens with image parsing and interpretable machine learning - Nature - February 16th, 2026 [February 16th, 2026]
- Analysis of Market Segments and Major Growth Areas in the Machine Learning (ML) Feature Lineage Tools Market - openPR.com - February 16th, 2026 [February 16th, 2026]
- Apple Makes One Of Its Largest Ever Acquisitions, Buys The Israeli Machine Learning Firm, Q.ai - Wccftech - February 1st, 2026 [February 1st, 2026]
- Keysights Machine Learning Toolkit to Speed Device Modeling and PDK Dev - All About Circuits - February 1st, 2026 [February 1st, 2026]
- University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy - Quantum Zeitgeist - February 1st, 2026 [February 1st, 2026]
- How AI and Machine Learning Are Transforming Mobile Banking Apps - vocal.media - February 1st, 2026 [February 1st, 2026]
- Machine Learning in Production? What This Really Means - Towards Data Science - January 28th, 2026 [January 28th, 2026]
- Best Machine Learning Stocks of 2026 and How to Invest in Them - The Motley Fool - January 28th, 2026 [January 28th, 2026]
- Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region - Nature - January 28th, 2026 [January 28th, 2026]
- Machine Learning Predicts the Strength of Carbonated Recycled Concrete - AZoBuild - January 28th, 2026 [January 28th, 2026]
- Vertiv Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues... - January 28th, 2026 [January 28th, 2026]
- Machine Learning in Network Security: The 2026 Firewall Shift - openPR.com - January 28th, 2026 [January 28th, 2026]
- Why IBMs New Machine-Learning Model Is a Big Deal for Next-Generation Chips - TipRanks - January 24th, 2026 [January 24th, 2026]
- A no-compromise amplifier solution: Synergy teams up with Wampler and Friedman to launch its machine-learning power amp and promises to change the... - January 24th, 2026 [January 24th, 2026]
- Our amplifier learns your cabinets impedance through controlled sweeps and continues to monitor it in real-time: Synergys Power Amp Machine-Learning... - January 24th, 2026 [January 24th, 2026]
- Machine Learning Studied to Predict Response to Advanced Overactive Bladder Therapies - Sandip Vasavada - UroToday - January 24th, 2026 [January 24th, 2026]
- Blending Education, Machine Learning to Detect IV Fluid Contaminated CBCs, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Why its critical to move beyond overly aggregated machine-learning metrics - MIT News - January 24th, 2026 [January 24th, 2026]
- Machine Learning Lends a Helping Hand to Prosthetics - AIP Publishing LLC - January 24th, 2026 [January 24th, 2026]
- Hassan Taher Explains the Fundamentals of Machine Learning and Its Relationship to AI - mitechnews.com - January 24th, 2026 [January 24th, 2026]
- Keysight targets faster PDK development with machine learning toolkit - eeNews Europe - January 24th, 2026 [January 24th, 2026]
- Training and external validation of machine learning supervised prognostic models of upper tract urothelial cancer (UTUC) after nephroureterectomy -... - January 24th, 2026 [January 24th, 2026]
- Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal... - January 24th, 2026 [January 24th, 2026]
- Uncovering Hidden IV Fluid Contamination Through Machine Learning, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Machine learning identifies factors that may determine the age of onset of Huntington's disease - Medical Xpress - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - WEF expands Fourth Industrial Revolution Network - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- Machine-learning analysis reclassifies armed conflicts into three new archetypes - The Brighter Side of News - January 24th, 2026 [January 24th, 2026]
- Machine learning and AI the future of drought monitoring in Canada - sasktoday.ca - January 24th, 2026 [January 24th, 2026]
- Machine learning revolutionises the development of nanocomposite membranes for CO capture - European Coatings - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - Leading data infrastructure is helping power better lives in Sunderland - Smart Cities World - January 24th, 2026 [January 24th, 2026]
- How banks are responsibly embedding machine learning and GenAI into AML surveillance - Compliance Week - January 20th, 2026 [January 20th, 2026]