Results 161 to 170 of about 2,425,653 (248)

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

Elastomeric 3D‐Printed Microenvironments Enable Nanonewton Force Measurements in Healthy and Diseased Human Pluripotent Stem Cell‐Derived Neuroepithelial Cells

Advanced Materials, EarlyView.
We present elastomeric three‐dimensional (3D) microstructures fabricated via two‐photon polymerization (2PP) and post‐processed through wet etching, for quantifying nanonewton (nN)‐scale forces applied by healthy and diseased neural cells. The mechanically characterized free‐standing beam architectures enable measurement of traction forces of ...
Pieter F. J. van Altena, Lucia Castillo Ransanz, Ruben H. Guis, Giulia Bergamaschi, Nanne J. Paauw, Urs Staufer, Vivi M. Heine, Angelo Accardo   +7 more
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Determining the number of breaks in a piecewise linear regression model [PDF]

In this paper we propose a sequential method for determining the number of breaks in piecewise linear structural break models. An advantage of the method is that it is based on standard statistical inference. Tests available for testing linearity against
Strikholm, Birgit
core  

Conformal Thermoreversible Gelatin‐Based Gel for High‐Fidelity Electrophysiological Recording and Acute Peripheral Nerve Interfacing

Advanced Materials, EarlyView.
A thermoreversible gelatin‐based gel forms a soft, conformal bioelectronic interface on complex biological surfaces. The flowable precursor penetrates hair‐dense regions, solidifies in situ, and maintains low impedance through adaptive contact and hydration retention.
Ruinan Hao, Yong Yuan, Jie Gao, Tong Wang, Jinzhi Du, Feng Tian, Xiaoli Li, Ruirui Qiao, Liqun Zhang, Jiajia Xue   +9 more
wiley   +1 more source

Bottom‐Up Engineering of a Human Neuromuscular System for Modeling Activity‐Induced Remodeling, Metabolic Stress, and Endothelial‐Modulated Excitability

Advanced Materials, EarlyView.
Using a bottom‐up approach, we engineered a human neuromuscular microchip to investigate distinct adaptive responses to neural stimulation and metabolic stress. Further integration of endothelial cells revealed their critical role in modulating neuromuscular excitability, establishing a comprehensive neurovascular‐muscular model.
Jinchul Ahn, Min‐seop Kim, Ju‐Hee Kim, Seok‐Hyeon Kang, Dain Lee, Hui‐Wen Liu, Seung‐cheol Shin, Kyuhwan Na, Yesl Jun, Oak‐Kee Hong, Ji Hun Yang, Jin‐A Kim, Hwanseok Jang, Hong Nam Kim, Roger D. Kamm, Ji‐Hoon Kim, Jang‐Won Son, Seok Chung   +17 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

Long-term Trends and Environmental Behavior of 137Cs in Multiple Environmental Media of the China Seas After the Fukushima Nuclear Accident

Haiyang Kaifa yu guanli
To clarify the long-term variation of 137Cs in the China Seas after the Fukushima nuclear accident and the characteristics of its environmental responses across multiple media, this study systematically compiled publicly reported activity concentration ...
YAO Zhipeng, WANG Jinlong
doaj  

Segmented Linear Regression Model (SLRM)

This project implements the Segmented Linear Regression Model (SLRM), an alternative to traditional Artificial Neural Networks (ANNs). The SLRM models datasets with piecewise linear functions, using a neural compression process to reduce complexity without compromising precision beyond a user-defined tolerance.
openaire   +2 more sources