Results 211 to 220 of about 280,459 (288)
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Image and video coding using a wavelet decomposition
openaire +2 more sources
Non-Uniform Entropy-Constrained <i>L</i><sub>∞</sub> Quantization for Sparse and Irregular Sources. [PDF]
Alecu AA +3 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Construction and validation of a high-precision annotated dataset for developing intelligent critical vein recognition models in laparoscopic pancreatic surgery. [PDF]
Zhou H +6 more
europepmc +1 more source
Engineering Trace‐Amount Electrolyte Additives for Aqueous Zinc Batteries
Large‐amount additives primarily modify the bulk electrolyte by coordinating with Zn2+ or reshaping the hydrogen‐bond network, thereby altering the overall solution chemistry. In contrast, trace‐amount additives mainly operate at the electrode–electrolyte interface, regulating Zn deposition through electric double‐layer modulation, interfacial ...
Zhaoxin Li +9 more
wiley +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
A new deep learning-based fast transcoding for internet of things applications. [PDF]
Yang J, Peng Y, Qing L, Xue Y, Yang H.
europepmc +1 more source

