Results 251 to 260 of about 746,382 (358)
Interaction mechanisms between liquid organic matter and solid bitumen. [PDF]
Lin XH, Liang T, Zou YR, Wang Y, Zou Y.
europepmc +1 more source
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley +1 more source
Pan-Genomic and Phenotypic Characterisation of Petroleum Hydrocarbon Degradation by Pseudomonas Species. [PDF]
Guo X +9 more
europepmc +1 more source
Prediction of flame velocities of hydrocarbon flames
Gordon L. Dugger, Dorothy M. Simon
openalex +2 more sources
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao +9 more
wiley +1 more source
Bioturbation by the Ghost Shrimp <i>Lepidophthalmus louisianensis</i> Increases Petroleum Hydrocarbon Degradation for Coastal Sediments in Mildly Oiled Mesocosms. [PDF]
Deb Adhikary NR +2 more
europepmc +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Synergistic Mechanisms and Product Regulation in the Co-Pyrolysis of Biomass and Food Packaging Waste: A Study Based on Reaction Kinetics and GHG Calculation. [PDF]
Li G +6 more
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
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

