Results 161 to 170 of about 71,871 (269)

Spatially multimodal and multiscale network for representation learning from spatial multi-omics. [PDF]

BMC Genomics
Zhang F, Peng C.
europepmc   +1 more source

Spatial Engineering of Gas Diffusion Layers Overcomes Mass Transport Limitations in Fuel Cells

Advanced Science, EarlyView.
ABSTRACT Mass transport limitations at high current densities hinder polymer electrolyte fuel cell (PEFC) performance due to inefficient water management and reactant distribution. Gas diffusion layer (GDL) perforation offers a potential solution as an alternative to complex flow‐field modifications.
Shangwei Zhou, Wenjia Du, Jianuo Chen, Yunsong Wu, Bochen Li, Jieyang Li, Linlin Xu, Winfried Kockelmann, Meng Lin, Marc‐Olivier Coppens, Paul R Shearing, Rhodri Jervis, Thomas S. Miller   +12 more
wiley   +1 more source

Multiscale feature fusion for few-shot medical image learning with fisher information-driven layer selection. [PDF]

Vis Comput Ind Biomed Art
Zhang K, Peng Y, Pang B, Chen X.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

An effective deep learning algorithm for medical image registration. [PDF]

PLOS Digit Health
Deng J, Chen K, Li M, Zuo Z, Frangi AF, Zhang J.   +5 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Erratum to "Heterogeneity-Aware, Multiscale Annotation of Shared and Specific Neurobiological Signatures among Major Neurodevelopmental Disorders". [PDF]

Research (Wash D C)
Diao Y, Huang Y, Zhu B, Guo M, Wang W, Li Z, Li W, Zhang H, Zhou J, Li X, Wu F, Wu K.   +11 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Multiscale cardiorespiratory complexity reveals autonomic signatures of Rajyoga meditation. [PDF]

Front Psychol
Singh R, Panda R, Tarvainen MP, Ranjan V, Ganguly A, Halder S.   +5 more
europepmc   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source