Results 191 to 200 of about 500,399 (326)

Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling

Advanced Science, EarlyView.
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji, Jun Yuan, Bojing Zhang, Aleksei Sanin, Leon Merker, Zhisheng Zhang, Jianxiong Zhu, Helge Sören Stein   +7 more
wiley   +1 more source

Type-II neural symmetry detection with Lie theory. [PDF]

Sci Rep
Gabel A, Quax R, Gavves E.
europepmc   +1 more source

Mathematical Theory and Computational Practice: 5th Conference on Computability in Europe, CiE 2009, Heidelberg, Germany, July 19-24, 2009: Proceedings [PDF]

, 2009
Klaus Ambos–Spies, Benedikt Löwe, Wolfgang Merkle   +2 more
openalex  

Simultaneously Boosting Freshwater Productivity and Antifouling Efficacy of Membrane Distillation Through In Situ Micro‐Bubble Generation

Advanced Science, EarlyView.
A superhydrophobic functional coating composed of γ‐MnO2 and perfluorodecyltrichlorosilane (FDTS) is capable of decomposing H2O2 and generating in situ micro‐bubbles on the membrane surface. The dynamic bubbles intensify the turbulence, enhancing the heat and mass transfer during membrane distillation (MD).
Zhongsheng Li, Faheem Hassan Akhtar, Xin Cui, Xiaoxiong Wang, Qian Chen   +4 more
wiley   +1 more source

Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation. [PDF]

Sci Rep
Bilal M, Chaoqian L, Popa IL.
europepmc   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

Exploring the exact solutions to the nonlinear systems with neural networks method. [PDF]

Sci Rep
Muhammad J, Tedjani AH, Hussain E, Younas U.   +3 more
europepmc   +1 more source

Interactions of Computational Complexity Theory and Mathematics

, 2017
Avi Wigderson
openalex   +2 more sources

Next‐Generation Piezoelectric Materials in Wearable and Implantable Devices for Continuous Physiological Monitoring

Advanced Science, EarlyView.
An analysis of literature trends and a historical overview of organic and inorganic piezoelectric materials, focusing on their structural diversity, functional mechanisms, and inherent characteristics. It then explores cutting‐edge developments in material synthesis, fabrication processes, and performance optimization, highlighting their applicability ...
Bangul Khan, Umay Amara, Bilawal Khan, Wasim Ullah Khan, Rafi u Shan Ahmad, Muhammad Shehzad Khan, Mohamed Elhousseini Hilal, Bee Luan Khoo   +7 more
wiley   +1 more source

Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols. [PDF]

Sci Rep
Hakeem A, Ullah A, Zaman S, Mahmoud EE, Ahmad H, Ali P, Belay MB.   +6 more
europepmc   +1 more source