Results 141 to 150 of about 27,420 (266)

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

A Grounding in Electrochemical Noise Measurement

Zairyo-to-Kankyo, 2003
openaire   +2 more sources

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

Susceptibility to Pitting Corrosion of AerMet 100 and 4340 Alloys for Aeronautical Applications. [PDF]

Materials (Basel)
Huerta-Zavala MS, Gaona-Tiburcio C, Nieves-Mendoza D, Jaquez-Muñoz JM, Cabral-Miramontes J, Maldonado-Bandala E, Croche-Belin R, Baltazar-Zamora MA, Landa-Ruiz L, Lopez-Leon LD, Olguin-Coca J, Almeraya-Calderon F.   +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

MEMS electrochemical angular accelerometer: a paradigm shift for attitude detection and control in rotorcraft UAVs. [PDF]

Microsyst Nanoeng
Zhu M, Liu Q, Zhang H, Yang J, Hu L, Zhao W, Jiang H, Huo X, Lu Y, Chen J, Wang Y, Chen D, Wang J.   +12 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Electrochemical characterisation of new textile electrodes based on a conductive silicon yarn for bioelectrical stimulation. [PDF]

Sci Rep
Lange I, Kalla T, Wegert L, Rosner G, Müller C, Haueisen J, Hunold A.   +6 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Microelectrode Arrays Technology for Brain-on-a-Chip Applications. [PDF]

Biosensors (Basel)
Zhao M, Zhang Y, Wang Y, Liu H, Li M, Zhao Y, Zhang L, Huang C.   +7 more
europepmc   +1 more source