Results 251 to 260 of about 1,259,133 (314)

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

Machine Learning-Based Composition Design of Functionally Graded Alloys. [PDF]

Materials (Basel)
Yu Y, Wang Y, Zhao P, Zhang B, Huang Y.
europepmc   +1 more source

Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping

Advanced Materials, EarlyView.
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe, Lei Zhang, Yi Ning Zheng, Xiao Qing Chen, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Tie Jun Cui, Vincenzo Galdi   +8 more
wiley   +1 more source

Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring. [PDF]

Gels
Zhang Z.
europepmc   +1 more source

From Behavior to Dynamics: Decoding Carrier Roles in Cu‐based Photocathodes for Solar‐Driven CO2 Reduction

Advanced Materials, EarlyView.
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang, Chenyu Xu, Peng‐Fei Sui, Yi Liu, Xiaolei Wang, Jing‐Li Luo   +5 more
wiley   +1 more source

Advances in Biosimilars: A Systematic Review of Machine Learning Applications. [PDF]

Pharmaceuticals (Basel)
Duarte V, Bas TG.
europepmc   +1 more source

Machine learning for prediction of key haemodynamic parameters in pulmonary arterial hypertension. [PDF]

Eur Heart J Digit Health
Kramer T, Weis H, Kramer M, Baldus S, Rosenkranz S, Spinler S.   +5 more
europepmc   +1 more source

Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]

Molecules
Kisalaei A, Sharabiani VR, Banakar A, Taghinezhad E, Szymanek M, Dziwulska-Hunek A.   +5 more
europepmc   +1 more source

Discerning Quantity: Numerosity in Two Embodied Machine Learning Agents. [PDF]

Behav Sci (Basel)
Donnelly N, Keedwell E.
europepmc   +1 more source