Results 201 to 210 of about 3,008,888 (261)

Grain Boundary Space Charge Engineering of Solid Oxide Electrolytes: Model Thin Film Study

Advanced Functional Materials, EarlyView.
This study demonstrates unprecedented control of grain boundary electrical properties in solid electrolytes. Selective diffusion of cations through grain boundaries in thin films enables 12 orders of magnitude variation in ionic resistance, proving that systematic chemical modification of grain boundary electrical properties is feasible.
Thomas Defferriere, Yong Beom Kim, Colin Gilgenbach, James M. LeBeau, WooChul Jung, Harry L. Tuller   +5 more
wiley   +1 more source

The Assessment of Body Image Based on Large Language Model. [PDF]

Psych J
Li F, Zhao N.
europepmc   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Large language model for interpreting the Paris classification of colorectal polyps. [PDF]

Endosc Int Open
Massimi D, Carlini L, Mori Y, Di Stefano L, Antonelli G, Rizkala T, Spadaccini M, de Sire R, Alfarone L, Lena C, D'Aprano A, Parasa S, Bisschops R, von Renteln D, O'Reilly SM, Savevski V, Sharma P, Rex DK, Bretthauer M, Demomi E, Hassan C, Repici A.   +21 more
europepmc   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Scouter predicts transcriptional responses to genetic perturbations with large language model embeddings. [PDF]

Nat Comput Sci
Zhu O, Li J.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Linear accelerator (linac) downtime analysis assisted with a Large Language Model (LLM). [PDF]

J Appl Clin Med Phys
Youn Y, Schulz JB, Stolen E, Farrey K, Muresan E, Kim S, Sohn JJ.   +6 more
europepmc   +1 more source

Laser‐Induced Microfabrication of Carbon Nanostructure: Processing Mechanism and Application for Next‐Generation Battery Technology

Advanced Functional Materials, EarlyView.
The article reviews laser‐processed carbons from various precursors, processing mechanism and their application in advanced batteries. The laser process is chemical free, fast, and scalable, enabling improved battery performance and stability for Li, Na, and Zn battery technologies.
Sujit Deshmukh, Shaista Nouseen, Martin Pumera   +2 more
wiley   +1 more source

Large language model-driven agents in nursing practice: A scoping review. [PDF]

Int J Nurs Sci
Zheng X, Zou H, Wu L, Dong P, Yuan W, Chen Y.   +5 more
europepmc   +1 more source