Results 141 to 150 of about 710,527 (288)

Long-Lived Organic Radicals Drive the Photodegradation of Plastic Additives in Microplastic-Derived Dissolved Organic Matter. [PDF]

Environ Sci Technol
Zhou Y, Zeng Y, Law JC, Lei Y, Yang X, Leung KS.   +5 more
europepmc   +1 more source

Low‐Temperature Imidization of Polyimides (PI) for Scalable Manufacturing of Flexible Wearable Electronics

Advanced Engineering Materials, EarlyView.
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley   +1 more source

Plastic additives enrich diverse bacterial communities which show the hallmarks of plastic degradation. [PDF]

Sustain Microbiol
Tarnowski MJ, Stawowy A, Sonnenschein EC.   +2 more
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Assessment of additives used in plastic in seabirds

, 2019
Liver samples from 10 herring gulls (Larus argentatus) were investigated for a broad range of chemicals used as additives in plastic products. The aim of this study was to clarify if the ingestion of plastic by seabirds would cause additives to leach out
Rostkowski, Pawel, Harju, Mikael, Christensen-Dalsgaard, Signe, Herzke, Dorte, Borgen, Anders   +4 more
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Degradation Studies of Polypropylene Fibers and Nonwovens with Prodegradant additives

, 2010
The purpose of this research is to investigate an inexpensive pro-oxidant and pro-degradant additive system that can be applied during melt processing to produce biodegradable polyolefin-based (PP) nonwovens.
Viswanath, Vidya
core  

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Regions of interest multivariate curve resolution for liquid chromatography with ion mobility high-resolution tandem mass spectrometry: analysis of plastic additives. [PDF]

Anal Bioanal Chem
Torres-Agullo A, Tauler R, Lacorte S, Mak TD, Simón-Manso Y.   +4 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source