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
- Meet 'kvcached': A Machine Learning Library to Enable Virtualized, Elastic KV Cache for LLM Serving on Shared GPUs - MarkTechPost - October 28th, 2025 [October 28th, 2025]
- Bayesian-optimized machine learning boosts actual evapotranspiration prediction in water-stressed agricultural regions of China - Nature - October 28th, 2025 [October 28th, 2025]
- Using machine learning to shed light on how well the triage systems work - News-Medical - October 28th, 2025 [October 28th, 2025]
- Our Last Hope Before The AI Bubble Detonates: Taming LLMs - Machine Learning Week US - October 28th, 2025 [October 28th, 2025]
- Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study - Nature - October 28th, 2025 [October 28th, 2025]
- The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis - Nature - October 28th, 2025 [October 28th, 2025]
- Using unsupervised machine learning methods to cluster cardio-metabolic profile of the middle-aged and elderly Chinese with general and central... - October 28th, 2025 [October 28th, 2025]
- The prognostic value of POD24 for multiple myeloma: a comprehensive analysis based on traditional statistics and machine learning - BMC Cancer - October 28th, 2025 [October 28th, 2025]
- Reducing inequalities using an unbiased machine learning approach to identify births with the highest risk of preventable neonatal deaths - Population... - October 28th, 2025 [October 28th, 2025]
- Association between SHR and mortality in critically ill patients with CVD: a retrospective analysis and machine learning approach - Diabetology &... - October 28th, 2025 [October 28th, 2025]
- AI-Powered Visual Storytelling: How Machine Learning Transforms Creative Content Production - About Chromebooks - October 28th, 2025 [October 28th, 2025]
- How beauty brand Shiseido nearly tripled revenue per user with machine learning - Performance Marketing World - October 28th, 2025 [October 28th, 2025]
- Magnite introduces machine learning-powered ad podding for streaming platforms - PPC Land - October 26th, 2025 [October 26th, 2025]
- Krafton is an AI first company and will invest 70M USD on machine learning - Female First - October 26th, 2025 [October 26th, 2025]
- Machine learning prediction of bacterial optimal growth temperature from protein domain signatures reveals thermoadaptation mechanisms - BMC Genomics - October 24th, 2025 [October 24th, 2025]
- Data Proportionality and Its Impact on Machine Learning Predictions of Ground Granulated Blast Furnace Slag Concrete Strength | Newswise - Newswise - October 24th, 2025 [October 24th, 2025]
- The Evolution of Machine Learning and Its Applications in Orthopaedics: A Bibliometric Analysis - Cureus - October 24th, 2025 [October 24th, 2025]
- Sentiment Analysis with Machine Learning Achieves 83.48% Accuracy in Predicting Consumer Behavior Trends - Quantum Zeitgeist - October 24th, 2025 [October 24th, 2025]
- Use of machine learning for risk stratification of chest pain patients in the emergency department - BMC Medical Informatics and Decision Making - October 24th, 2025 [October 24th, 2025]
- Mass spectrometry combined with machine learning identifies novel protein signatures as demonstrated with multisystem inflammatory syndrome in... - October 24th, 2025 [October 24th, 2025]
- How Machine Learning Is Shrinking to Fit the Sensor Node - All About Circuits - October 24th, 2025 [October 24th, 2025]
- Machine learning models for mechanical properties prediction of basalt fiber-reinforced concrete incorporating graphical user interface - Nature - October 24th, 2025 [October 24th, 2025]
- Ohio wins national cybersecurity award for fraud solutions using machine learning - Spectrum News NY1 - October 24th, 2025 [October 24th, 2025]
- Itron Partners with Gordian Technologies to Enhance Grid Edge Intelligence with AI and Machine Learning Solutions - Quiver Quantitative - October 24th, 2025 [October 24th, 2025]
- Wearable sensors and machine learning give leg up on better running data - Medical Xpress - October 23rd, 2025 [October 23rd, 2025]
- Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization - Phys.org - October 23rd, 2025 [October 23rd, 2025]
- Ohio wins national cybersecurity award for fraud solutions using machine learning - Spectrum News 1 - October 23rd, 2025 [October 23rd, 2025]
- Machine learning predictions of climate change effects on nearly threatened bird species ( Crithagra xantholaema) habitat in Ethiopia for conservation... - October 23rd, 2025 [October 23rd, 2025]
- A machine learning tool for predicting newly diagnosed osteoporosis in primary healthcare in the Stockholm Region - Nature - October 23rd, 2025 [October 23rd, 2025]
- ECBs New Perspective on Machine Learning in Banking - KPMG - October 23rd, 2025 [October 23rd, 2025]
- Ensemble Machine Learning for Digital Mapping of Soil pH and Electrical Conductivity in the Andean Agroecosystem of Peru - Frontiers - October 21st, 2025 [October 21st, 2025]
- New UA research develops machine learning to address needs of children with autism - AZPM News - October 21st, 2025 [October 21st, 2025]
- NMDSI Speaker Series on Weather Forecasting: What Machine Learning Can and Can't Do, Oct. 23 - Marquette Today - October 21st, 2025 [October 21st, 2025]
- Polyskill Achieves 1.7x Improved Skill Reuse and 9.4% Higher Success Rates through Polymorphic Abstraction in Machine Learning - Quantum Zeitgeist - October 21st, 2025 [October 21st, 2025]
- University of Strathclyde opens admission for MSc in Machine & Deep Learning for Jan 2026 intake - The Indian Express - October 21st, 2025 [October 21st, 2025]
- Reducing Model Biases with Machine Learning Corrections Derived from Ocean Data Assimilation Increments - ESS Open Archive - October 19th, 2025 [October 19th, 2025]
- Unlocking Obesity: Multi-Omics and Machine Learning Insights - Bioengineer.org - October 19th, 2025 [October 19th, 2025]
- Lockheed Martin advances PAC-3 MSE interceptor using artificial intelligence and machine learning - Defence Industry Europe - October 19th, 2025 [October 19th, 2025]
- Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models - Nature - October 19th, 2025 [October 19th, 2025]
- AI and Machine Learning - City of San Jos to release RFP for generative AI platform - Smart Cities World - October 19th, 2025 [October 19th, 2025]
- Machine learning helps identify 'thermal switch' for next-generation nanomaterials - Phys.org - October 17th, 2025 [October 17th, 2025]
- Machine Learning Makes Wildlife Data Analysis Less of a Trek - Maryland.gov - October 17th, 2025 [October 17th, 2025]
- An interpretable multimodal machine learning model for predicting malignancy of thyroid nodules in low-resource scenarios - BMC Endocrine Disorders - October 17th, 2025 [October 17th, 2025]
- In First-Episode Psychosis Patients, Machine Learning Predicted Illness Trajectories to Potentially Improve Outcomes - Brain and Behavior Research - October 17th, 2025 [October 17th, 2025]
- Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes - The American Journal of Managed Care (AJMC) - October 17th, 2025 [October 17th, 2025]
- Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary... - October 17th, 2025 [October 17th, 2025]
- Modelling of immune infiltration in prostate cancer treated with HDR-brachytherapy using Raman spectroscopy and machine learning - Nature - October 17th, 2025 [October 17th, 2025]
- Association between atherogenic index of plasma and sepsis in critically ill patients with ischemic stroke: a retrospective cohort study using... - October 17th, 2025 [October 17th, 2025]
- AI enters the nuclear age: Pentagon modernizes warheads with machine learning - Washington Times - October 17th, 2025 [October 17th, 2025]
- AI and Machine Learning - Bentley Systems shares its vision for trustworthy AI - Smart Cities World - October 17th, 2025 [October 17th, 2025]
- Looking back to move forward: can historical clinical trial data and machine learning drive change in participant recruitment in anticipation of... - October 15th, 2025 [October 15th, 2025]
- Physics-Based Machine Learning Paves the Way for Advanced 3D-Printed Materials - Bioengineer.org - October 15th, 2025 [October 15th, 2025]
- Predicting one-year overall survival in patients with AITL using machine learning algorithms: a multicenter study - Nature - October 15th, 2025 [October 15th, 2025]
- Explainable machine learning models for predicting of protein-energy wasting in patients on maintenance haemodialysis - BMC Nephrology - October 15th, 2025 [October 15th, 2025]
- Feasibility of machine learning analysis for the identification of patients with possible primary ciliary dyskinesia - Orphanet Journal of Rare... - October 15th, 2025 [October 15th, 2025]
- Machine learning-based prediction of preeclampsia using first-trimester inflammatory markers and red blood cell indices - BMC Pregnancy and Childbirth - October 15th, 2025 [October 15th, 2025]
- Utilizing AI and machine learning to improve railroad safety: Detecting trespasser hotspots - masstransitmag.com - October 15th, 2025 [October 15th, 2025]
- Precision medicine meets machine learning: AI and oncology biomarkers - pharmaphorum - October 15th, 2025 [October 15th, 2025]
- Aether Pro Exchange Transforms Execution Dynamics with Machine-Learning Optimization - GlobeNewswire - October 15th, 2025 [October 15th, 2025]
- Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional... - October 15th, 2025 [October 15th, 2025]
- Artificial Intelligence vs. Machine Learning: Which skills will open better career options in the global - Times of India - October 15th, 2025 [October 15th, 2025]
- Study Reveals Impact of Negative Class Definitions on Machine Learning Accuracy in Immunotherapy - geneonline.com - October 15th, 2025 [October 15th, 2025]
- Muna Al-Khaifi: Detection of Breast Cancer Using Machine Learning and Explainable AI - Oncodaily - October 13th, 2025 [October 13th, 2025]
- Expedia Group Unveils Innovative AI and Machine Learning Solutions to Transform Partner Travel Experiences - Travel And Tour World - October 13th, 2025 [October 13th, 2025]
- Machine Learning-Guided Prediction of Formulation Performance in Inhalable CiprofloxacinBile Acid Dispersions with Antimicrobial and Toxicity... - October 13th, 2025 [October 13th, 2025]
- Machine Learning and BIG DATA workshop planned Oct. 14-15 - West Virginia University - October 11th, 2025 [October 11th, 2025]
- How Google enables third-party circularity by increasing recycling rates with Machine Learning - The World Business Council for Sustainable... - October 11th, 2025 [October 11th, 2025]
- Integrating Artificial Intelligence and Machine Learning in Hydroclimatic Research - A Promising Step Forward - University of Northern British... - October 11th, 2025 [October 11th, 2025]
- Semi-automatic detection of anteriorly displaced temporomandibular joint discs in magnetic resonance images using machine learning - BMC Oral Health - October 11th, 2025 [October 11th, 2025]
- AI and Machine Learning - Partnership to bring infrastructure intelligence to US public sector - Smart Cities World - October 11th, 2025 [October 11th, 2025]
- Between rain and snow, machine learning finds nine precipitation types - Phys.org - October 9th, 2025 [October 9th, 2025]
- Between rain and snow, machine learning finds 9 precipitation types - Michigan Engineering News - October 9th, 2025 [October 9th, 2025]
- Machine learning optimizes nanoparticle design for drug delivery to the brain - Physics World - October 9th, 2025 [October 9th, 2025]
- Development and validation of a machine learning-based prediction model for prolonged length of stay after laparoscopic gastrointestinal surgery: a... - October 9th, 2025 [October 9th, 2025]
- G Sachs: Stock Mkt Not in Bubble Yet; Machine Learning/ AI Expected to Spawn New Wave of Superstars - AASTOCKS.com - October 9th, 2025 [October 9th, 2025]
- AI and Machine Learning - See.Sense works with City of Sydney to develop AI dashboard - Smart Cities World - October 9th, 2025 [October 9th, 2025]
- Machine Learning Used to Predict Live Birth Outcomes in Fresh Embryo Transfers - geneonline.com - October 9th, 2025 [October 9th, 2025]
- RIT researchers use machine learning to better understand the pathways of disease - Rochester Institute of Technology - October 7th, 2025 [October 7th, 2025]
- Leveraging machine learning to predict mosquito bed net utilization among women of reproductive age in sub-Saharan Africa - Malaria Journal - October 7th, 2025 [October 7th, 2025]
- Machine learning-based radiomics using magnetic resonance images for prediction of clinical complete response to neoadjuvant chemotherapy in patients... - October 7th, 2025 [October 7th, 2025]