Results 221 to 230 of about 139,178 (334)

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

Advanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo, Yue Cheng, Cong Li, Xiaoyu Guo, Jiankai Yin, Dadong Fan, Zhenyu Xu, Chenyu Tang, Arokia Nathan, Shuo Gao, Li Tao, Luigi G. Occhipinti   +11 more
wiley   +1 more source

Spatiotemporal characteristics and driving factors of soil erosion in the Kangding River Basin (Southwest China) based on the RUSLE model. [PDF]

PLoS One
Guan Y, Duan X, Deng Q, Chen B, Su B, Zeng K.   +5 more
europepmc   +1 more source

Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers

Advanced Functional Materials, EarlyView.
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley   +1 more source

Deep learning-enhanced shoreline dynamics and vulnerability assessment in Niger Delta area of Nigeria. [PDF]

Sci Rep
Nnam VC, Odumosu JO, Uche I, Lamidi S.
europepmc   +1 more source

Tailoring K+/Vacancy Disordered Layered Oxide via Charge Engineering for Stabilizing High‐Performance Potassium‐Ion Batteries

Advanced Functional Materials, EarlyView.
With a charge‐ion coupling engineering strategy, a K+/vacancy disordered K0.5Mn0.8Co0.1Ti0.1O2 material has been designed. The targeted transition metal doping disrupts charge ordering and inducing K+/vacancy disordering, thereby enabling rapid K+ diffusion through interconnected channels and a stable solid‐solution reaction mechanism.
Yongfeng Jia, Xuanpeng Wang, Jiashen Meng, Lujun Zhu, Fanjie Xia, Hong Wang, Fang Liu, Xiao Zhang, Quanquan Pang, Jian Wang, Zhitong Xiao   +10 more
wiley   +1 more source

High-resolution landfill characterization using SAR remote sensing and cloud-based processing. [PDF]

Sci Rep
Agrawal S, Rakkasagi S, Goyal MK.
europepmc   +1 more source

A Study on Making Map of Flood Using Digital Elevation Model (DEM)

Journal of The Korean Society of Agricultural Engineers, 2017
Hyun Taek Lim, Jae Hwi Kim, Hak Beom Lee, Sung Yong Park, Yong Seong Kim   +4 more
openaire   +2 more sources

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

Advanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, Hyungyo Jeong, Sanggyun Jeong, Heesu Cho, Jongwon Oh, Dahye Baek, Jongkyu Kim, Yubin Lee, Eunsu Gu, Dong‐Hwan Kim, Jung‐Hoon Park, Jiseok Lee   +13 more
wiley   +1 more source

Flood susceptibility assessment using three machine learning techniques and comparison of their performance. [PDF]

Sci Rep
Asrade TM, Abebe SA, Tadesse KB, Kerebih MS, Meshesha TM.   +4 more
europepmc   +1 more source