Results 211 to 220 of about 260,718 (281)
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
Simulation of the Impact of Pesticides on Pollinators Under Different Conditions Using Correlation Weighting of Quasi-SMILES Components Together with the Index of Ideality of Correlation (IIC). [PDF]
Toropova AP +4 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Development and Validation of an HPLC-DAD Method for the Quantitative Determination of Benzoyl Peroxide, Curcumin, Rosmarinic Acid, Resveratrol and Salicylic Acid in a Face Mask-In Vitro/Ex Vivo Permeability Study. [PDF]
Almpani S +3 more
europepmc +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Meeting the challenges of electronic health record (EHR) optimization. [PDF]
Makhni S +7 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Vat Polymerization 3D Printing for Controlled Drug Release Applications
ABSTRACT Vat polymerization (VP) 3D printing, a light‐based additive manufacturing technique, has emerged as a promising technique for fabricating complex drug delivery systems with high precision and spatial resolution. This layer‐by‐layer manufacturing process enables the creation of intricate geometries and customizable architectures, which are ...
Hafiz Busari +2 more
wiley +1 more source

