Results 241 to 250 of about 208,517 (313)

Single Crystals of Perylene Diimide‐Based Two‐Dimensional Covalent Organic Frameworks

Advanced Materials, EarlyView.
Synthesizing extended crystals of two‐dimensional covalent organic frameworks (2D COFs) has remained a major challenge. Here, we report a high‐temperature double‐modulator strategy that provides access to new perylene diimide (PDI)‐based COFs with crystal sizes of up to 50 µm.
Ling Zhang, Zixuan Chen, Lukas Mühlnickel, Lukas Sporrer, Jakub D. Jasinski, Megha Koottungal, Kevin Synnatschke, Paul‐Felix Jordan, Silvia Paasch, Eike Brunner, Zhehao Huang, Alexey Chernikov, Florian Auras   +12 more
wiley   +1 more source

Intelligent Monitoring and Dynamic Regulation Equipment and Software Development for the Equal-Pressure Fully Mechanized Mining Face in the Sandaogou Coal Mine. [PDF]

Sci Rep
Wang Z, Liu L, Yuan Q, Li W, Wang D, Zhao D, Li Y, Pan J, Qiu C.   +8 more
europepmc   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Enhancing Knowledge Integration and Self-Directed Learning in Undergraduate Medical Education Through an AI-Based Multimodal Platform. [PDF]

Adv Med Educ Pract
Xu J, Li D, Lu D, Chen M, Chen T, Sun H, Qing Y, Wu C, Wang Y.   +8 more
europepmc   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Triboelectric Nanogenerators Promote Self-Powered Sensing and Intelligent Monitoring. [PDF]

Sensors (Basel)
Cui Y, Yang T, Luo H, Zheng Y.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Factors influencing single young adults' intentions to accept AI virtual companion apps based on the theory of emotional design. [PDF]

Front Psychol
Liu T, Sun Y, Wei ZQ, Lo TY.
europepmc   +1 more source

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

The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions. [PDF]

Sensors (Basel)
Xu H, Liang Y, Xie R, Kong Y.
europepmc   +1 more source