Results 131 to 140 of about 122,614 (295)

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

Advanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan, Yechuan Deng, Zixin Hu, Yanwei He, Xinting Feng, Jun Ma, Yisheng Chen, Zhijie Zhao, Jie Mei, Zhiheng Lin, Wei Luo, Zhengyuan Fang, Zhufeng Hu, Kunlun Feng, Xinrong Li, Dan Wu, Bowen Han, James Hoi po Hui, Xuanyong Liu, Chen Chen, Gang Chen, Shiyi Chen, Nirong Bao, Jiajun Qiu, Zhiwen Luo   +24 more
wiley   +1 more source

Optimizing Radiation Patterns of Thinned Arrays with Deep Nulls Fixed through Their Representation in the Schelkunoff Unit Circle and a Simulated Annealing Algorithm. [PDF]

Sensors (Basel), 2022
Raíndo-Vázquez M, Salas-Sánchez AÁ, Rodríguez-González JA, López-Martín ME, Ares-Pena FJ.   +4 more
europepmc   +1 more source

A primer on implementing compressed simulated annealing for the optimisation of a constrained simulation model in Microsoft Excel [PDF]

This short paper provides a simple introduction on how a simulation model implemented in Microsoft Excel® can be optimised using Visual Basic for Applications (VBA) programming and the compressed simulated annealing algorithm (Ohlmann et al., 2004 ...
Doole, Graeme J.
core   +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

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

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Multimodal Multiorgan‐on‐a‐Chip Platform for Probing Liver‐Tumor Interactions and Advancing Prodrug Screening

Advanced Science, EarlyView.
This work introduces a multimodal multi‐OoC platform that overcomes current limitations in liver‐tumor interaction studies and prodrug screening. By integrating dynamic microfluidic circuits, electrochemical sensing, and mass analysis, this platform enables non‐invasive, longitudinal monitoring of drug metabolism and hepatotoxicity, offering a ...
Dan Wang, Yisong Huang, Weijian Zhao, Tian Chen, Siyu Bai, Denghui Guo, Mengying Wang, Yaoyao Zhao, Liang Zhao, Guangsheng Guo, Xiayan Wang   +10 more
wiley   +1 more source

Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing

Advanced Science, EarlyView.
α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo, Seokjin Oh, Minah Park, Jong Min Song, Hongseung Lee, Seohyeon Park, Sojin Jung, Seongbin Lim, Soohyun Lim, Dongsun Shin, Ji Won Heo, TaeWan Kim, Hagyoul Bae   +12 more
wiley   +1 more source

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

Advanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hong‐xi Liu, Weisheng Zhao   +7 more
wiley   +1 more source

Hypocoercivity in metastable settings and kinetic simulated annealing

, 2017
Combining classical arguments for the analysis of the simulated annealing algorithm with the more recent hypocoercive method of distorted entropy, we prove the convergence for large time of the kinetic Langevin annealing with logarithmic cooling ...
Monmarché, Pierre
core