Results 181 to 190 of about 996,291 (283)

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Environment Enrichment Devices for Caged Laying Hens

open access: hybrid, 1998
Donald D. Bell   +2 more
openalex   +1 more source

Additional file 3 of Enrichment of human nasopharyngeal bacteriome with bacteria from dust after short-term exposure to indoor environment: a pilot study

open access: gold, 2023
Eva Konecna   +10 more
openalex   +1 more source

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

open access: yesAdvanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli   +5 more
wiley   +1 more source

Differential impacts of social isolation and enriched environment on multi-sensory brain-wide functionality and network segregation. [PDF]

open access: yesNat Commun
You T   +11 more
europepmc   +1 more source

The role of enriched environment in neural development and repair. [PDF]

open access: yesFront Cell Neurosci, 2022
Han Y   +5 more
europepmc   +1 more source

Micro- and Nano-Plastics Induced Release of Protein-Enriched Microbial Exopolymeric Substances (EPSs) in Marine Environments

open access: gold
Wei‐Chun Chin   +5 more
openalex   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

open access: yesAdvanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour   +8 more
wiley   +1 more source

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