Results 131 to 140 of about 2,216,546 (285)

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

TESCLA: A Fully Soft Electromagnetic Linear Actuator With Continuous Bending Enabled by Liquid‐Metal Solenoids

Advanced Materials, EarlyView.
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi, Jeongnam Kim, Seongjun Koh, Yong‐Lae Park   +3 more
wiley   +1 more source

ESTIMATING EARTHQUAKE MAGNITUDE USING SPATIAL INTERPOLATION WITH THE INVERSE DISTANCE WEIGHTING AND ORDINARY KRIGING APPROACH

Barekeng
The West Java region is known for its high disaster vulnerability, particularly to earthquakes, due to the presence of many active faults. Based on this, information is needed as an initial step for disaster mitigation to reduce disaster risk and ...
Fitri Amalia, Achmad Fauzan
doaj   +1 more source

Sub‐Nanometer Cobalt on Tungsten Titanium Carbide MXene (W2TiC2Tx): An Electrocatalyst for Highly Efficient and Stable Alkaline Hydrogen Evolution at Industrial‐Scale Current Density

Advanced Materials, EarlyView.
A novel W2TiC2Tx MXene prepared through a MAX‐phase route supports sub‐nanometer Co for highly efficient alkaline hydrogen evolution. Strong Co–W interfacial interactions optimize hydrogen adsorption and catalytic activity, enabling low overpotentials of 63 mV at 10 mA cm−2, small Tafel slope of 44.3 mV dec−1, and exceptional durability at industrially
Xiaopeng Liu, Fan Yang, Deep M. Patel, Mohammad Albloushi, Qiqi Mao, Shan Jiang, Christian J. Breckner, Connor W. Schroeder, Ruoyu Cui, Tao Ma, Dapeng Jing, Wenyu Huang, Jeffrey T. Miller, Wenzhen Li, Luke T. Roling, Yue Wu   +15 more
wiley   +1 more source

Side‐Chain‐Induced Interlayer Slipping in Metalloporphyrin COFs Enables Microenvironment and Spin‐State Regulation for Photocatalytic CO2 Reduction

Advanced Materials, EarlyView.
Alkoxy chain length drives a continuous transition from eclipsed AA to a serrated, slipped AA* configuration over Co‐porphyrin COFs. A moderate slip both contracts the pore channel to enrich CO2 and suppress hydrogen evolution, and enhances collective high‐spin of Co sites, which delivers a record CO production rate with high selectivity.
Jie He, Qingxuan Chen, Minxian Zhang, Wenhao Zhao, Aoni Xu, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +8 more
wiley   +1 more source

Fast Hydrogel Micro‐Actuators Driven by Electric Fields

Advanced Materials, EarlyView.
We report the fabrication of chemically programmable electroactuating microstructures through the first integration of two‐photon polymerization with electrically actuated gelatin methacrylate‐based hydrogels. By tailoring the charge of the polymer network, we demonstrate programmable polarity‐dependent bending, enabling microstructures that ...
Annaël Sort‐Montenegro, Jason M. Delente, Žiga Roblek, Yekaterina Tskhe, Luke Dowling, Colm Delaney, Larisa Florea   +6 more
wiley   +1 more source

Inverse Demand Systems for Composite Liquid Assets: Evidence from China [PDF]

This paper applies the concept of inverse demands and its related scale and substitution effects to model the demand for liquid assets in China. We also propose a new model, termed the Modified Almost Ideal Inverse Demand System (MAIIDS), which nests the
Gary Wong, Qiao Yu
core  

Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection

Advanced Materials, EarlyView.
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park, Jin Hong Kim, Hyun Wook Kim, Néstor Ghenzi, Sung Keun Shim, Joon‐Kyu Han, Min Jung Chung, Dong Hoon Shin, Kyung Seok Woo, Cheol Seong Hwang   +9 more
wiley   +1 more source

Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Xu Chen 0046, Katerina Marazopoulou, Wesley Lee, Christine Agarwal, Jason Sukumaran, Aude Hofleitner   +5 more
openaire   +2 more sources

Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression

In practical data analysis, the not-missing-at-random (NMAR) mechanism is typically more aligned with the natural causes of missing data. The NMAR mechanism is complicated and adaptable, surpassing the capabilities of classical methods in addressing this
Tao, Li, Tian, Maozai, Tang, Man-lai, Pan, Jianxin, Yu, Keming, Härdle, Wolfgang Karl, Tai, Lingnan   +6 more
core   +4 more sources