Results 71 to 80 of about 6,625,966 (272)

Ceramic materials lead to underestimated DNA quantifications : a method for reliable measurements [PDF]

open access: yes, 2010
In the context of investigating cell-material interactions or of material-guided generation of tissues, DNA quantification represents an elective method to precisely assess the number of cells attached or embedded within different substrates. Nonetheless,
Martin, I., Piccinini, E., Sadr, N.
core   +1 more source

Environmental impact assessment of a ceramic tile supply chain – a case study

open access: yesInternational Journal of Sustainable Engineering, 2018
The beginning of the twenty-first century saw a surge in the growth of construction industry, particularly the housing sector in India. This led to the growing demand of ceramic tiles.
Kuldip Singh Sangwan   +2 more
doaj   +1 more source

A comparison of five methods to maximize RNA and DNA isolation yield from adipose tissue [PDF]

open access: yesPeerJ
Adipose tissue in the human body occurs in various forms with different functions. It is an energy store, a complex endocrine organ, and a source of cells used in medicine.
Pawel Dabrowski   +4 more
doaj   +2 more sources

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

Effect of Pb-16Li long term exposure on mechanical properties of ceramic materials

open access: yesNuclear Materials and Energy
The Dual Coolant Lithium Lead (DCLL) Breeding Blanket (BB) concept is based on the use of liquid metal Pb–16Li. In the current design of the DCLL BB, Pb-16Li circuit is enclosed inside a box made of ceramic material.
Roman Petráš   +5 more
doaj   +1 more source

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

open access: yesAdvanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn   +5 more
wiley   +1 more source

Probing degradation of Cobalt-free LiNi0.5Mn1.5O4 ceramic cathode in lithium-ion batteries

open access: yesnpj Materials Degradation
High-voltage LiNi0.5Mn1.5O4 (LNMO) cathode is a promising option for transition to sustainable and cost-effective cobalt-free cathodes, and ceramic cathodes can substantially increase energy density by enabling higher active material loading.
Chengyu Li   +5 more
doaj   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

open access: yesAdvanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz   +4 more
wiley   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

open access: yesAdvanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw   +3 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

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