Results 171 to 180 of about 11,579,260 (289)

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

Advanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang, Yingying Fan, Lillian Pernitsky, Mojtaba Ebrahimian Mashhadi, Ningxin Chen, Md. Mehadi Hassan, Zheng Li, Heng Zhao, Liang Mei, Zhiyuan Zeng, Zhangxing Chen, Jinguang Hu, Qingye Lu   +12 more
wiley   +1 more source

Autism care: reimagining the spectrum. [PDF]

Front Child Adolesc Psychiatry
Merahn S.
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

RIGHTS principles for early intervention: right care at the right time for every infant, child and family in low and middle-income countries. [PDF]

BMJ Paediatr Open
Hidalgo-Robles Á, Cid-Cofré D, Mesa-Rubio ML, Rizzoli-Córdoba A, Venzor Strader A, Molina-Milman H.   +5 more
europepmc   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

From storytelling to scripting: eight principles for deconstructing crime events. [PDF]

Crime Sci
Borrion H, Ekblom P, Bish A, Fan C, Gómez-Quintero J, Chen P, Toubaline S, Ristea A, Niri M.   +8 more
europepmc   +1 more source

A Simple Descriptor for Solid‐State Ionic Conductors Across Chemistries

Advanced Materials, EarlyView.
Researchers develop a simple and transferable descriptor, distance contraction, for solid‐state ion migration across Li‐, Na‐, K‐, and Mg‐ion conductors and diverse anion chemistries. By capturing the maximum local contraction experienced by the migrating ion, the descriptor enables rapid materials screening and unifies diverse ion‐transport mechanisms.
Ramanuja Srinivasan Saravanan, Charles E. Schwarz, Felix Adams, Kiyan Amirian, Yifei Mo   +4 more
wiley   +1 more source

Advancing Institutional Responses to Generative AI in Health Sciences Education: Methodological and Policy Considerations. [PDF]

Nurs Health Sci
Chen Y.
europepmc   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Corrigendum to "Generative artificial intelligence in forensic science education: Student perspectives on AI-supported crime scene decision-making" [Foren. Sci. Int.: Synerg. 13, (2026), 100723]. [PDF]

Forensic Sci Int Synerg
Hernández PT, Haines A, Mousseau V, Elbourne M, Hanna T.   +4 more
europepmc   +1 more source