Results 81 to 90 of about 91,586 (199)

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

Targeted Modulation of d‐Band Center in MoS2 Interlayer With n‐Type Co/Fe Dopants Accelerating Sulfur Reaction Kinetics in Lithium‐Sulfur Batteries

Advanced Materials, EarlyView.
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji, Sangyeon Won, Jaehyeong Yu, Nuri Moon, Dongwoo Kim, Junbeom Maeng, Won Bae Kim   +6 more
wiley   +1 more source

Considering Computational Mathematics IGHG3 as Malignant Melanoma Is Associated with Immune Infiltration of Malignant Melanoma.

Biomed Res Int, 2022
Si M, Cao X.
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Semi-hydro-equivalent design and performance extrapolation between 100 kJ-scale and NIF-scale indirect drive implosion

Matter and Radiation at Extremes
Extrapolation of implosion performance between different laser energy scales is investigated for indirect drive through a semi-hydro-equivalent design. Since radiation transport is non-hydro-equivalent, the peak radiation temperature of the hohlraum and ...
Huasen Zhang, Dongguo Kang, Changshu Wu, Liang Hao, Hao Shen, Shiyang Zou, Shaoping Zhu, Yongkun Ding   +7 more
doaj   +1 more source

Computational Thinking and Mathematical Problem Solving in Madrasah Tsanawiyah Students

Jurnal Pendidikan Islam
The integration of computational thinking into mathematics learning is increasingly important in preparing students for problem-solving in the digital era, and visual programming tools such as Flowgorithm offer potential pedagogical support.
I Made Suarsana, Tatang Herman, Elah Nurlaelah, Didi Suryadi, Irianto Irianto, Al Jupri, Asep Bayu Dani Nandiyanto, Zulkaidah Nur Ahzan   +7 more
doaj   +1 more source

Layered Nanoporous Platforms for SERS Sensing

Advanced Materials Interfaces, EarlyView.
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou, Anastasiia Sapunova, Tommaso Giovannini, Chen Wang, Huaizhou Jin, Vincenzo Caligiuri, Sergio Marras, Andrea Schirato, Luca Bursi, Alessandro Alabastri, Shukun Weng, Ali Douaki, German Lanzavecchia, Ivan Marri, Roman Krahne, Nicolò Maccaferri, Zhenrong Zheng, Shangzhong Jin, Denis Garoli   +18 more
wiley   +1 more source

Hydrodynamic instability growth of the fuel–ablator interface induced by rippled rarefaction waves in inertial confinement fusion implosion experiments

Matter and Radiation at Extremes
Hydrodynamic instability growth at the deuterium–tritium (DT) fuel–ablator interface plays a critical role in determining the performance of inertial confinement fusion implosions.
Zheng Yan, Zhu Chen, Jiwei Li, Lifeng Wang, Zhiyuan Li, Chao Zhang, Fengjun Ge, Junfeng Wu, Weiyan Zhang   +8 more
doaj   +1 more source

A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms

Advanced Materials Interfaces, EarlyView.
A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim, Rahul Patil, Argyris K. Lazaris, Xinran Zhang, Stella Alimperti   +4 more
wiley   +1 more source