Results 231 to 240 of about 1,466,458 (303)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Editorial: Ensuring public health: the active role of healthcare professionals. [PDF]

Front Public Health
Giusti M, José H, Pires AM, García-Navarro EB, Bonaccorsi G, Persiani N.   +5 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Perceptions of Chinese higher-vocational nursing program directors on digital transformation: A qualitative study. [PDF]

PLoS One
Duan K, Mao F, Li R, Jin X, Huang H, Wen M.   +5 more
europepmc   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

Competency and Role Development in Advanced Nursing Practice Following a Swiss Master's Cohort Through Education and Early Clinical Practice: Protocol for a Longitudinal Convergent Mixed Methods Study.

JMIR Res Protoc
Braun A, Fringer A, Gattinger H, Eissler C, Zumstein-Shaha M, Beer T, Roes M.   +6 more
europepmc   +1 more source

Work-life balance measurement in healthcare professionals: a scoping review protocol of available assessment instruments. [PDF]

BMJ Public Health
George N, Karuveettil V, Britto DR, Mini M, Sasidharan N, George M.   +5 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Dietitians as System Builders: Advancing Equity, Sustainability and Health in Community Nutrition and Primary Care. [PDF]

J Hum Nutr Diet
Carrillo-Alvarez E, Puyol-Martin Y, Camps A, Muñoz-Martinez J, Rodriguez-Monforte M, Berlanga-Fernandez S, Rigau-Sabadell M.   +6 more
europepmc   +1 more source