A reusable and universal size polyethylene terephthalate glycol head fixation device for Gamma Knife Radiosurgery: a prospective comparative cohort study. [PDF]
Ibrahim RT, Faraj MK, Al-Neami AQH.
europepmc +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Improving Yield and Thermostability of PETase as a Maltose Binding Protein Fusion in the Periplasm of <i>Escherichia coli</i>. [PDF]
Kwon J +11 more
europepmc +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Polyethylene terephthalate (PET) recycling: A review
Tomy Muringayil Joseph +7 more
semanticscholar +1 more source
Hepatotoxic Mechanisms of Polyethylene Terephthalate Microplastics Revealed by Network Toxicology, Molecular Docking, and In Vivo Validation. [PDF]
Tan X +5 more
europepmc +1 more source
A flexible InGaP/GaAs/InGaAs triple‐junction platform encapsulated with ultrathin glass enables unassisted electrocatalysis and space applications by providing robust protection against chemically aggressive and radiation‐rich environments. This work establishes a unified III–V multijunction photovoltaic platform that bridges space photovoltaics and ...
Sukkyu Hong +10 more
wiley +1 more source
Chemical recycling of Polyethylene Terephthalate: A mini-review
Mahsa Babaei, Milad Jalilian, K. Shahbaz
semanticscholar +1 more source
Airborne PET nanoplastics alter tobacco's chemical risk. [PDF]
Tan MM +11 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

