Results 231 to 240 of about 35,050 (341)

Development and systematic evaluation of triamine‐based functional deep eutectic solvents for efficient CO2 capture

AIChE Journal, EarlyView.
Abstract The development of advanced absorbents for effectively capturing carbon dioxide is crucial in mitigating greenhouse gas emissions. This study introduced a series of deep eutectic solvents (DESs) for CO2 capture and identified the most promising DESs with the stepwise screening method based on their absorption capacity, absorption rate, thermal
Qiangbing Shi, Kaige Jia, Xiangping Zhang, Chuan Wang, Paul Cobden, Anna‐Maria Beregi Amnéus, David Muren, Xiaoyan Ji   +7 more
wiley   +1 more source

ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants. [PDF]

J Chem Inf Model
Santos DP, Dias-Silva JR, Júnior LHKQ, de Oliveira HCB.   +3 more
europepmc   +1 more source

A critical review of porous adsorbents for air separation: From fundamental insights to rational adsorbent design

AIChE Journal, EarlyView.
Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang, Daisong Chen, Tianyi Zhang, Boyu Zhang, Ruiqiang Wang, Zhengdong Liu, Mei Hong, Youssef Belmabkhout, Qinfen Gu, Jin Shang   +9 more
wiley   +1 more source

Molecular and Thermodynamic Insights into the Enthalpy-Entropy Shift Governing HILIC Retention of Labelled Dextrans. [PDF]

Molecules
Grčman M, Podlipnik Č, Pompe M, Kočar D.   +3 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Highly efficient Cr(vi) removal from water using deep eutectic solvents: a sustainable and comprehensive approach. [PDF]

RSC Adv
Huynh TN, Nguyen DT, Phuong Uyen Pham HH, Trinh AD, Tran QH.   +4 more
europepmc   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

Advanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu, Xiaoxu Li, Yifu Feng, Zheming Wang, Kevin M. Rosso, Xiaofeng Guo, Xin Zhang   +6 more
wiley   +1 more source

Modified polyhedron model for predicting standard enthalpy of formation and entropy of mixed oxides

Jesus Alejandro Arias-Hernandez, Elmira Moosavi‐Khoonsari   +1 more
openalex   +1 more source

Impact of Partial Gelatinization on Structure, Physicochemical and Enzymatic Digestion Properties of Rice Starch Used for Rice Noodle-Making. [PDF]

Polymers (Basel)
Teng B, Zhang C, Wang H.
europepmc   +1 more source

Physicochemical, Thermal and Textural Characterization of Olive Pomace Oil and Argan Oil Oleogels Prepared with Different Oleogelators. [PDF]

Gels
Kırkyol M, Akköse A, Şişik Oğraş Ş, Yılmaz Oral ZF, Kaban G, Kaya M.   +5 more
europepmc   +1 more source