Results 61 to 70 of about 118,888 (266)

Hazardous Waits: CPSC Lets Crucial Time Pass Before Warning Public About Dangerous Products [PDF]

open access: yes, 2008
Despite a law requiring manufacturers to provide the Consumer Product Safety Commission (CPSC) with "immediate" notification of dangerous products, the agency typically delays nearly seven months after learning of dangerous, defective products before ...
Taylor Lincoln
core  

About metal soaps in ethnographic collections 

open access: yesCeROArt
This article discusses the value of ethnographic objects in museums and collections, and the challenges of preserving them due to their complex composition and poly-materiality. Specifically, the study focuses on the formation of metal soaps on objects made of metal in contact with leather or wood parts.
Russo, Silvia   +5 more
openaire   +3 more sources

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Stability evaluation of nano loaded and conventional soaps and ointments

open access: yesDiscover Chemistry
This study evaluates the 12-month stability of conventional and nano loaded soap and ointment formulations, focusing on physicochemical and microbiological parameters.
Aliyu Shehu   +2 more
doaj   +1 more source

Hardness evaluation of prosthetic silicones containing opacifiers following chemical disinfection and accelerated aging

open access: yesBrazilian Oral Research, 2010
We evaluated the effects of disinfection and aging on the hardness of silicones containing opacifiers and intended for use in facial prosthetics. A total of 90 samples were produced using a cylindrical metal mold 3 mm in height and 30 mm in diameter. The
Marcelo Coelho Goiato   +4 more
doaj   +1 more source

Jhamarkotra phosphate ore processing plant [PDF]

open access: yes, 2009
: Low grade phosphate ore of Jhamarkotra that analyzes 16.5% P~2~O~5~ is upgraded to 34% P~2~O~5~ by a two stage flotation process after size reducing the ore to 90% passing through 200mesh using conventional equipment such as jaw and cone crushers ...
C.L Jain, Sekhar Dmr
core   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Effect of process conditions on the evolution of microstructure and mechanical properties of AA3003 vacuum furnace brazing joints

open access: yesMaterials Research Express, 2020
In this study, vacuum furnace brazing was used for joining AA3003 alloy with different thicknesses of 0.6 and 3 mm using BALSI-4 filler metal. Firstly, the samples were degreased using water and soap and then cleaned with acetone.
A R Eivani, M Ahmadian, H Vafaeenezhad
doaj   +1 more source

High temperature resistant cermet and ceramic compositions [PDF]

open access: yes, 1978
Cermet compositions having high temperature oxidation resistance, high hardness and high abrasion and wear resistance, and particularly adapted for production of high temperature resistant cermet insulator bodies are presented.
Phillips, W. M.
core   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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