Results 181 to 190 of about 430,483 (293)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market. [PDF]

Entropy (Basel)
Drożdż S, Jarosz P, Kwapień J, Skupień M, Wątorek M.   +4 more
europepmc   +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

Developing count regression techniques for predicting the number of new type 2 diabetes cases in Saudi Arabia. [PDF]

PLoS One
Al-Hussein F, Tafakori L, Abdollahian M, Al-Shali K.   +3 more
europepmc   +1 more source

Multi‐Channel Electrically Tunable Varifocal Metalens With Compact Multilayer Polarization‐Dependent Metasurfaces and Liquid Crystals

Advanced Science, EarlyView.
A compact eight‐channel electrically tunable varifocal metalens with three single‐layer polarization‐multiplexed bi‐focal metalens and three LC cells. The total thickness of the device is ∼6 mm, while the focal lengths can be switched among eight values (3.6, 4.2, 4.5, 4.9, 6.2, 6.9, 8.4, and 9.6 mm). ABSTRACT As an essential module of optical systems,
Zhiyao Ma, Yize Liu, Zhe Li, Tian Tian, Yuxuan Liao, Xue Feng, Yongzhuo Li, Kaiyu Cui, Fang Liu, Hao Sun, Wei Zhang, Yidong Huang   +11 more
wiley   +1 more source

A Review: Construction of Statistical Distributions. [PDF]

Entropy (Basel)
Fang KT, Lin YX, Deng YH.
europepmc   +1 more source

Helical Electron Beam Micro‐Bunching by High‐Order Modes in a Micro‐Plasma Waveguide

Advanced Science, EarlyView.
ABSTRACT Electron acceleration by a high‐power Laguerre‐Gaussian pulse in a micro‐plasma waveguide is investigated. When the incident laser travels in the waveguide, electrons on the wall are extracted into the vacuum core and accelerated by the longitudinal field of the waveguide mode.
Xingju Guo, Longqing Yi
wiley   +1 more source

Side‐Chain Branching Dictates the σ–S Coupling in Conjugated Polymer Thermoelectrics

Advanced Electronic Materials, EarlyView.
The correlation between conductivity and Seebeck coefficient has been extensively studied in numerous works. Nevertheless, its association with side chains has not been thoroughly explored. In this work, we found that the distance between the branching points of side chains and the molecular backbones has a significant effect on thermoelectric ...
Yingyao Zhang, So‐Huei Kang, Po Chen, Huadeng Xie, Qinfang Zhang, Seoyoung Kim, Donghoo Won, Zilong Zhang, Chi Li, Liang Liu, Qi Zhu, Feiyan Wu, Lie Chen, Reza Keshavarzia, Changduk Yang, Peng Gao   +15 more
wiley   +1 more source

Smart Microfluidics: A curated dataset of microfluidic liposome formulations with cross-laboratory validation for machine-learning applications. [PDF]

Data Brief
Lavagna L, Buttitta G, Bonacorsi S, Barbarito C, Moliterno M, Saito G, Oddone I, Verdone G, Raimondi S, Panella M.   +9 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source