Results 41 to 50 of about 65,804 (214)

Theoretical computer science and discrete mathematics [PDF]

Progress in Informatics, 2012
Takeaki UNO, Kunihiko SADAKANE, Ken-ichi KAWARABAYASHI   +2 more
openaire   +1 more source

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

Enhancing Li‐S Battery Performance Through Low‐Concentration Electrolytes with Organic Se/Te Co‐Additives to Address Solubility and Kinetic Challenges

Advanced Science, EarlyView.
This work presents a low‐concentration electrolyte enabled by hybrid organic Se/Te additives (DPDSe/DPDTe) that restructures solvation, boosts polysulfide dissolution, and provides dual‐site synergistic catalysis, delivering high capacity and stable cycling in Li–S coin and pouch cells, supporting high‐energy, high‐power operation.
Ruihua Li, Haiwei Wu, Hairu Wei, Wenhao Jia, Frederik Bettels, Leon Schenk, Zhihua Lin, Hanbin Liu, Guodong Liu, Zhijian Li, Lin Zhang   +10 more
wiley   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector

Advanced Science, EarlyView.
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu, Aiping Zhai, Tingting Zheng, Wenjing Zhao, Dong Wang   +4 more
wiley   +1 more source

Suppressed Auger Heating of Hot Carriers in Cu‐Doped Colloidal Quantum Wells

Advanced Science, EarlyView.
ABSTRACT Auger heating represents a major bottleneck for hot carrier (HC) relaxation in colloidal quantum wells (CQWs), delaying carrier accumulation in band‐edge states and diminishing performance in light‐emitting applications. To address this issue, we introduce copper doping in CdSe CQWs to create midgap states, which efficiently suppresses Auger ...
Junhong Yu, Ke Wang, Yadong Han, Zhenzhong Lian, Songyan Hou, Hilmi Volkan Demir, Manoj Sharma   +6 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Electrohydraulic Folding Ring Actuators for Radially Contracting Applications

Advanced Science, EarlyView.
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan, Quan Xiong, Jonathan William Ambrose, Zeynep Altundal, Raye Chen‐Hua Yeow   +4 more
wiley   +1 more source

Discrete Mathematics in Computer Science

Computers & Mathematics with Applications, 1979
openaire   +2 more sources