Results 121 to 130 of about 1,037 (242)

Theory Guided Fine‐Tune of Strain Effects in Pt Ternary Alloy via Rare Earth Templating: Achieving High Performance PEMFCs Catalysts

Advanced Materials, EarlyView.
Theory‐guided strain engineering and rare‐earth templating are combined to create Pt5(Ce)Co@Pt multilayer nanoparticles with a Pt5Co‐like sublayer that fine‐tunes *OH binding near the ORR volcano optimum. The resulting catalyst delivers exceptional mass activity and remarkable long‐term PEMFC durability, revealing a strategy for designing highly active
Qi Zhang, Hong Zhang, Sungho Jeon, Erika Ortega Ortiz, Brooke E. Vander Pas, Guangqi Zhu, Yi‐Kai Lien, Chenzhao Li, Huayu Guo, Baixu Zhu, Yaroslav Losovyj, Gabriel M. Filippelli, Xingchen Ye, Eric A Stach, Ping Liu, Jian Xie   +15 more
wiley   +1 more source

Dynamic Time Warping for Secondary Path Interpolation in Local Active Noise Control

IEEE Open Journal of Signal Processing
For stable and performant local active noise control (ANC), accurate estimates of the paths between secondary sources and the desired points of cancellation are required. When these paths are recorded prior to operation for a limited number of positions,
Felix Holzmuller, Alois Sontacchi
doaj   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data

, 2019
A key challenge in spatial statistics is the analysis for massive spatially-referenced data sets. Such analyses often proceed from Gaussian process specifications that can produce rich and robust inference, but involve dense covariance matrices that lack computationally exploitable structures.
Shirota, Shinichiro, Finley, Andrew O., Cook, Bruce D., Banerjee, Sudipto   +3 more
openaire   +2 more sources

Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry

Advanced Materials, EarlyView.
A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae, Joohwan Han, Jeong‐Wook Seo, Taehoon Lee, Kihyeon Bae, Yeontaek Lee, Dong Soo Kim, Ikjin Kim, Jin‐Oh Kim, Steve Park   +9 more
wiley   +1 more source

Orbital‐Hybridizable Nanoseed Interphase Enables One‐Minute Rechargeable, Energy‐Dense Anode‐Free Aqueous Zinc Batteries

Advanced Materials, EarlyView.
An orbital‐hybridizable nanoseed (OHNS) interphase induces strong orbital hybridization between Zn and carbon edges, accelerating Zn nucleation while suppressing 2D surface diffusion. This interfacial electronic regulation drives uniform, dense, and (002)‐oriented Zn growth, enabling stable and fast charging behavior in anode‐free aqueous Zn batteries.
Won‐Yeong Kim, Ahyeon Son, Ohchan Kwon, Suseong Hyun, Sung Jun Hong, Hong‐I Kim, Ju Yeon Kim, Hyunseo Kang, Seung‐Hyeok Kim, Xu Liu, Kyeong‐Seok Oh, Jee Ho Ha, Seok Ju Kang, Stefano Passerini, Byungchan Han, Dae Woo Kim, Sang‐Young Lee   +16 more
wiley   +1 more source

Image Interpolation and Resampling

, 2000
This chapter presents a survey of interpolation and resampling techniques in the context of exact, separable interpolation of regularly sampled data. In this context, the traditional view of interpolation is to represent an arbitrary continuous function ...
Michael Unser, Thierry Blu, Philippe Thevenaz   +2 more
core   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network

This note presents an approach for estimating the spatial distribution of static properties in reservoir modeling using a nearest-neighbor neural network.
Wang, Yuhe
core  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source