Results 181 to 190 of about 192,525 (251)

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source

Medical students' knowledge and attitude towards using artificial intelligence in medical education and practice: a pre-post study. [PDF]

BMC Med Educ
Emara HT, Khafagy MA, Niazy NA, Abdel-Salam SA.   +3 more
europepmc   +1 more source

Unveiling α‐MoO3 as a High‐Index, Low‐Loss Anisotropic Material: Bridging the Gap From Mid‐Infrared to Ultraviolet Nanophotonics

Advanced Materials, EarlyView.
α‐MoO3 is established as a high‐index, low‐loss anisotropic platform bridging mid‐infrared polaritonics and ultraviolet‐visible nanophotonics. Spectroscopic ellipsometry and calculations reveal refractive indices exceeding 3.9, with the largest in‐plane birefringence among transparent layered crystals at 425–500 nm, enabling zero‐order UV waveplates ...
Adilet N. Toksumakov, Dmitriy V. Grudinin, Georgy A. Ermolaev, Alexey P. Tsapenko, Anton A. Minnekhanov, Konstantin V. Kravtsov, Nikolay V. Pak, Arslan B. Mazitov, Andrey A. Vyshnevyy, Aleksandr S. Slavich, Ivan A. Kruglov, Gleb I. Tselikov, Aleksey V. Arsenin, Kostya S. Novoselov, Valentyn S. Volkov   +14 more
wiley   +1 more source

Data-derived Identity Verification as a principle for the dissemination, harmonization, and artificial intelligence reuse of sensitive biomedical data. [PDF]

JAMIA Open
Cordier BA, Benton ES, Dysinger EJ, McWeeney SK, AI-READI Consortium .   +4 more
europepmc   +1 more source

Biointegrated Battery‐Based Electroceuticals

Advanced Materials, EarlyView.
Biointegrated batteries go beyond passive power to serve as active therapeutic platforms for delivering programmable electrical cues and bioactive agents. This review examines their mechanisms and applications and provides a framework to guide battery‐based therapeutic design and clinical translation.
Yan Zhou, Zhilian Yue, Zhiqi Chen, Danming Chao, Xiaoteng Jia, Gordon Wallace, Caiyun Wang   +6 more
wiley   +1 more source

Career anxiety in the age of artificial intelligence: Survey data of university students in Bangladesh. [PDF]

Data Brief
Islam S, Piyas BRC, Tisha FJ, Nayem HK, Rahman S, Preenon BRC, Hossen S.   +6 more
europepmc   +1 more source

De Novo Autogenic Engineered Living Functional Materials

Advanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad, Seth Swarnadeep, Erin C. Jackson, Nicolas Burns, Hongyu Wang, Harrison Priode, Robert B. Moore, Sanket Deshmukh, Avinash Manjula‐Basavanna, Anna M. Duraj‐Thatte   +9 more
wiley   +1 more source

Bitesize Biosecurity: A tool and framework for curating and summarising expert biosecurity advice for farmers using artificial intelligence. [PDF]

Vet Rec Open
Carmichael AFB, Pate LA, Duncan AJ, Melville L, Lamont K.   +4 more
europepmc   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Artificial Intelligence in Tumor Evolution: Understanding Cancer Complexity Through Multi-Modal Data Integration in Precision Oncology. [PDF]

Cells
Espinosa-Sánchez A, Carnero A.
europepmc   +1 more source