Results 111 to 120 of about 294,511 (217)

Ultrastable Self‐Cross‐linkable Electro‐Optic Materials Based on a Bisanthracene Scaffold

Advanced Electronic Materials, EarlyView.
A novel bisanthracene‐based self‐cross‐linkable electro‐optic chromophore (TD2) is developed. TD2 exhibits a high r33 of 141 pm/V and a cross‐linked Tg up to 195 °C, retaining 99.75% of its initial EO response after 500 h at 85 °C, showing record‐high thermal stability for single‐molecule self‐cross‐linking EO materials.
Xingtao Wang, Zhifan Liu, Qinghua Yang, Jiayan Xu, Lin Li, Fenggang Liu, Shengyu Cong   +6 more
wiley   +1 more source

Can Digital Tools Fix Bias in Mental Health Triage? [PDF]

J Med Internet Res
Rush B.
europepmc   +1 more source

Readers' Judgment [PDF]

Science, 1967
openaire   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Digital Health Technology Adoption Readiness Among Doctoral Nursing Students in Saudi Arabia: An Exploratory Qualitative Study. [PDF]

Healthcare (Basel)
Malki SS, Alyousef SM.
europepmc   +1 more source

Streamlined V3.5+ Electrolyte Production by Leveraging Chemical and Catalytic Reductions

Advanced Energy Materials, EarlyView.
A tuned catalytic process for V3.5+ electrolyte production is shown to streamline the conventional chemical‐to‐catalytic sequence by extending catalysis into the rate‐determining reduction regime. This study shows that initiating catalysis in this regime shortens the overall production time by 67% based on rigorous thermodynamic and kinetic analysis of
Kyunghwa Seok, Minseong Kang, Hee‐Tak Kim   +2 more
wiley   +1 more source

Teaching AI to handle exceptions: Supervised fine-tuning with human-aligned judgment. [PDF]

PNAS Nexus
DosSantos DiSorbo M, Ju H, Aral S.
europepmc   +1 more source

Clinical Judgment [PDF]

Journal of the Royal Society of Medicine, 2000
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

From Criminal Liability to Patient Safety: The Possible Impact of the Italian 2025 Reform Proposal on Senior Healthcare Leadership and Clinical Risk Management. [PDF]

Healthcare (Basel)
La Micela S, Stevanin G, Pancheri A, Faes C, Bonetti A, Atti S, Tocco Tussardi I, Tardivo S.   +7 more
europepmc   +1 more source