Results 181 to 190 of about 18,502 (262)

Intravital Multimodal Imaging of Human Cortical Organoid Transplantation in a Mouse Model of Chronic Stroke

Advanced Science, EarlyView.
A multimodal intravital imaging platform enables longitudinal tracking of human cortical organoids transplanted into chronic stroke lesions. By combining surgical microscopy, MRI, bioluminescence imaging, and two‐photon fluorescence microscopy, the platform captures graft placement, viability dynamics, and cellular‐scale morphology in vivo, offering a ...
Jinghui Wang, Guanda Qiao, Honglin Tan, Colleen Russel, Baixuan Yang, Mengyang Jacky Li, Kexin Wang, Jiadi Xu, Chengyan Chu, Miroslaw Janowski, Tian‐Ming Fu, Piotr Walczak, Yajie Liang   +12 more
wiley   +1 more source

Filming the Quantum-to-Macroscopic Transition: Capturing Quantum Wavepacket Dynamics in a Laser Plasma

Kornienko V, Bao Y, Ek S, Hosseinia A, Raveesh M, Kliewer C, Berrocal E, Bengtsson P, Bood J, Ehn A, Kristensson E.   +10 more
europepmc   +1 more source

Electron pressure drives THz phonons in metal-metal superlattices. [PDF]

Nat Commun
Pudell JE, Mattern M, Herzog M, von Reppert A, Singh CK, Schick D, Hehn M, Boesenberg U, Rodriguez-Fernandez A, Shayduk R, Jo W, Möller J, Hallmann J, Wrigley J, Oppeneer PM, Madsen A, Bargheer M.   +16 more
europepmc   +1 more source

Overcoming the Trade‐Off Between Magnetic Coupling and Electrical Insulation in Soft Magnetic Materials via Nanochain Engineering

Advanced Science, EarlyView.
This study employs a nanochain engineering approach combined with an in situ oxidation strategy to fabricate self‐insulating iron‐based magnetic nanochains, addressing the challenge of balancing magnetic coupling and electrical insulation in soft magnetic materials.
Dingrong Zuo, Lichen Liu, Haibo Ke, Rongsheng Bai, Huaping Ding, Jing Zhou, Zhenxiang Cheng, Peng Yu, Weihua Wang   +8 more
wiley   +1 more source

Single-shot, reference-less computational wavefront sensing for complex optical fields. [PDF]

Light Sci Appl
Gao Y, Cao L, Tsai DP.
europepmc   +1 more source

Photonic Time Crystals and Time‐Varying Electromagnetic Metamatter: A New Direction for Ultrafast Tunable Photonic and Microwave Materials and Devices

Advanced Science, EarlyView.
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel, Shriram Ramanathan, Ronald P. Jenkins, Michael J. Carter   +3 more
wiley   +1 more source

De-coherent parallel laser processing of ultradense nanopores for high-density, large-area 3D optical phase encoding. [PDF]

Nat Commun
Jiang Z, Hu J, Zhong L, Zhu Y, Zhang J, Zhao W, Qiu J.   +6 more
europepmc   +1 more source

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source