Results 51 to 60 of about 545 (188)

Junction Physics and Architectural Paradigms in Optoelectronic Semiconductor Fibers

Advanced Science, EarlyView.
Optoelectronic fibers are emerging as a key platform for distributed sensing, energy harvesting, and optical communication in deformable systems. Their performance is fundamentally governed by junction formation under confined, dynamic processing conditions.
Hailiang Wang, Wenshu Ouyang, Yuhang Xiao, Wei Yan, Meifang Zhu   +4 more
wiley   +1 more source

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

SOME RESULTS ON KENMOTSU MANIFOLDS ADMITTING QUARTER SYMMETRIC NON METRIC CONNECTION [PDF]

, 2015
In this paper we have studied the some curvature properties of a quarter-symmetric non metric connection of Kenmostu manifolds. We also studied the some properties of projective ricci tensor, pseudo projective curvature tensor and m-projective curvature ...
Jaiswal, Jyoti, Shukla, N.V.C.
core   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

The ℳ-projective curvature tensor field on generalized (κ,μ)-paracontact metric manifolds [PDF]

, 2017
We consider generalized ( κ , μ
Luis M. Fernández, Kakasab Mirji, Doddabhadrappla G. Prakasha   +2 more
core   +1 more source

Stiffness‐Activated Stellate Cells Drive Pancreatic Cancer Liver Colonization via GMFG‐TNS4 Signaling

Advanced Science, EarlyView.
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu, Jian Wan, Xue Zhang, Jiashuai Yan, Xi Chen, Xiaoqi Guan, Qianqian Ren, Tao Yang, Di Wu, Qingsong Guo, Yibing Guo, Yuhua Lu   +11 more
wiley   +1 more source

Ricci Soliton and Conformal Ricci Soliton in Lorentzian β-Kenmotsu Manifold [PDF]

, 2018
In this paper we have studied quasi conformal curvature tensor, Ricci tensor, projective curvature tensor, pseudo projective curvature tensor in Lorentzian β-Kenmotsu manifold admitting Ricci soliton and conformal Ricci soliton.
Tamalika Dutta (5759696), Arindam Bhattacharyya (533343)   +1 more
core   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Machine Learning for Aiding Blood Flow Velocity Estimation Based on Angiography. [PDF]

Bioengineering (Basel), 2022
Padhee S, Johnson M, Yi H, Banerjee T, Yang Z.   +4 more
europepmc   +1 more source