Results 211 to 220 of about 33,558 (268)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Lead Halide Perovskite Photoelectrocatalysis

Advanced Materials, EarlyView.
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley   +1 more source

From photosensitivity to autoimmunity: the role of AI metabolomics in PCT-celiac disease overlap. [PDF]

Ann Med Surg (Lond)
Ozukum ST, Wajahat K, Abdullah M, Khalid M, Waafira A.   +4 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment. [PDF]

Sensors (Basel)
Çolak MA, Bayılmış C.
europepmc   +1 more source

Cellular immunology data enable clinical severity prediction via supervised machine learning. [PDF]

iScience
Nam Y, McKeague ML, Ionita M, Lee ME, Painter M, Apostolidis S, Kim J, Woerner J, Jung SH, Orzechowski P, Wagenaar J, Greenplate AR, Wherry EJ, Kim D.   +13 more
europepmc   +1 more source

Critical considerations for the use of deep learning models in clinical oncology prediction. [PDF]

Front Oncol
Zhao D.
europepmc   +1 more source

Digital transformation and artificial intelligence integration in cytopathology: From standardization to emerging semi-quantitative paradigms. [PDF]

Cytojournal
Akca Y.
europepmc   +1 more source

Genomics and artificial intelligence: Re-engineering the anaesthesia paradigm for the 21^st century. [PDF]

Indian J Anaesth
Khandelwal A, Karim HMR.
europepmc   +1 more source