Results 91 to 100 of about 130,065 (265)

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

A Digital Method For Split Maxillary Interim Obturators Fabrication.

International Dental Journal
Introduction: The maxillary interim obturator is a short-term maxillofacial prosthesis for patients post-partial maxillectomy, restoring esthetics and function.
Huayu Fang, Yimin Zhao, Shizhu Bai, Miao Liu   +3 more
doaj   +1 more source

Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture. [PDF]

Cerebellum, 2023
Zheng J, Yang Q, Makris N, Huang K, Liang J, Ye C, Yu X, Tian M, Ma T, Mou T, Guo W, Kikinis R, Gao Y.   +12 more
europepmc   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

The anatomy of the palate in Early Triassic Chaohusaurus brevifemoralis (Reptilia: Ichthyosauriformes) based on digital reconstruction. [PDF]

PeerJ, 2021
Yin YL, Ji C, Zhou M.
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

From Archives to 3D Models: Managing Uncertainty with Paradata in Virtual Heritage

Heritage
This article examines the methodological challenges inherent in the digital 3D reconstructions of historical buildings using archival documentation. Unlike photogrammetry or laser scanning, archival-based modeling is crucial for buildings that never ...
Andras Horkai
doaj   +1 more source

Digital reconstruction of fragmented tooth remains in forensic context. [PDF]

Forensic Sci Res, 2022
Johnson A, Jani G, Garriga JA, Pandey A.
europepmc   +1 more source

Programmable Stepwise Heteroepitaxial Growth of Colloidal Crystals With Different Phases

Advanced Materials, EarlyView.
Stepwise heteroepitaxial growth is adapted to colloidal crystal engineering with DNA, enabling face‐centered cubic (fcc) facets to grow on body‐centered cubic (bcc) crystals with 110 facets. This approach tolerates large lattice mismatches, extending heteroepitaxy beyond the limits of conventional atomic systems.
Xiaowei Liu, Yuanwei Li, Ramin Yazdaanpanah, Ye Zhang, Rachel R. Chan, Xiaobing Hu, Yiming Yang, Vinayak P. Dravid, Koray Aydin, Chad A. Mirkin   +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