Results 241 to 250 of about 1,881,625 (304)

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

Advanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu, Yun Sun, Dong‐Ming Sun, Hui‐Ming Cheng   +3 more
wiley   +1 more source

Benchmarking Interpretability in Healthcare Using Pattern Discovery and Disentanglement. [PDF]

Bioengineering (Basel)
Zhou PY, Takeuchi A, Martinez-Lopez F, Ehghaghi M, Wong AKC, Lee EA.   +5 more
europepmc   +1 more source

Discovery of an Intrinsic Antiferromagnetic Semiconductor EuSc2Te4 With Magnetism‐Driven Nonlinear Transport

Advanced Functional Materials, EarlyView.
EuSc₂Te₄, an antiferromagnetic semiconductor, exhibits a nonlinear Hall effect (NLHE) characterized by quadratic current–voltage behavior. Combined experimental and theoretical studies reveal that this NLHE is linked to its antiferromagnetism and involves contributions from the quantum metric.
Seng Huat Lee, Yufei Zhao, Noble Gluscevich, Hemian Yi, Zachary Morgan, Huibo Cao, Jahyun Koo, Yu Wang, Jingyang He, Venkatraman Gopalan, Yuanxi Wang, Weiwei Xie, CuiZu Chang, Qiang Zhang, Binghai Yan, Zhiqiang Mao   +15 more
wiley   +1 more source

Editorial: Artificial intelligence in acute neurology. [PDF]

Front Neurol
Singh TD, Rabinstein AA.
europepmc   +1 more source

Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications

Advanced Functional Materials, EarlyView.
This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo, Hushan Chand, Rafael Luque, Alina M. Balu, Gianvito Vilé   +4 more
wiley   +1 more source

Editorial: Smart devices for personalized nutrition and healthier lifestyle behavior change. [PDF]

Front Nutr
Domingues MF, Dimitropoulos K, Hart K, Dias SB.   +3 more
europepmc   +1 more source

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

Advanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal, Da Bean Han, Thandapani Marimuthu, Taewaen Lim, Hyun Woo Kim, Junhyeok Seo   +5 more
wiley   +1 more source

Editorial: Business transformation through AI-enabled technologies. [PDF]

Front Artif Intell
Rabhi F, Beheshti A, Gill A.
europepmc   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes. [PDF]

Mach Learn Knowl Extr
Yin Y, Shao Y, Ma P, Zeng-Treitler Q, Nelson SJ.   +4 more
europepmc   +1 more source