Results 181 to 190 of about 2,357,571 (386)

Mandibular Implants: A Metamaterial‐Based Approach to Reducing Stress Shielding

open access: yesAdvanced Healthcare Materials, EarlyView.
Metamaterial mandibular implants offer a novel approach to reducing stress shielding and enhancing biomechanical stimulation. This study compares a gyroid‐based metamaterial plate to a solid titanium plate using photoelasticity and finite element analysis.
Jorn‐Ids Heins   +4 more
wiley   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

open access: yesAdvanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach   +4 more
wiley   +1 more source

Ethical approaches to family planning in Africa [PDF]

open access: yes
Africa has historically provided the geographical flashpoint of ethical issues relating to family planning programs. Until recently in Sub-Saharan Africa, advocacy of family planning by non-Africans was unacceptable and by Africans politically ...
Newman, K., Sai,F. T.
core  

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

open access: yesAdvanced Materials, EarlyView.
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley   +1 more source

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