Results 111 to 120 of about 1,208 (201)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis. [PDF]

Biosensors (Basel)
Kim D, Ahmed SS, Amjad A, Won K, Xian X.
europepmc   +1 more source

Computation‐Guided Control of Excited‐State Deactivation through Modulation of Conical‐Intersection Accessibility by Donor–Acceptor Asymmetry in Bridged Stilbene AIE Luminogens

Advanced Science, EarlyView.
Donor–acceptor asymmetry modulates conical‐intersection accessibility and topology in bridged stilbenes, providing mechanistic insight into excited‐state deactivation and aggregation‐induced emission (AIE). ABSTRACT A computation‐guided investigation of asymmetric donor–acceptor bridged stilbenes reveals structure–property relationships governing ...
Takuya Tanaka, Satoshi Suzuki, Hirosato Koyanagi, Kiyoshi Miyata, Riki Iwai, Kazunobu Igawa, Ken Onda, Ben Zhong Tang, Gen‐ichi Konishi   +8 more
wiley   +1 more source

Kinetically Limited Growth of Dendritic Tin Oxide Thin Films: a Machine Learning Study beyond the Structure Zone Diagram. [PDF]

Adv Sci (Weinh)
Music D, Xiao X, Naser R, Chang K, Sadowski G, Olsson PAT.   +5 more
europepmc   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

Intercomparison case study of data-driven reconstructions of a cloud-obscured Saharan dust plume in Europe. [PDF]

Sci Rep
Kanngießer F, Fiedler S.
europepmc   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source

Importance of measuring and reporting environmental conditions across plant science subdisciplines. [PDF]

Plant Physiol
Vincent C, Leisner CP, Locke AM, Pelech E, Schmiege SC, Sharkey TD, Tejera-Nieves M, Alade DO, Cardoso AA, Cho A, De Silva K, Dziedzic N, Gill AR, Kaur R, Lane SL, Michalczyk GZ, Singh A, Teshome DT.   +17 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Feedback-induced attitudinal changes in risk preferences. [PDF]

Nat Commun
Nasioulas A, Potier E, Cerrotti F, Lebreton M, Palminteri S.   +4 more
europepmc   +1 more source