Results 131 to 140 of about 30,702 (290)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Supermodes of high-repetition-rate passively mode-locked semiconductor lasers [PDF]

, 1996
We present a steady-state analysis of high-repetition-rate passively mode-locked semiconductor lasers. The analysis includes effects of amplitude-to-phase coupling in both gain and absorber sections. A many-mode eigenvalue approach is presented to obtain
Salvatore, Randal A., Sanders, Steve, Schrans, Thomas, Yariv, Amnon   +3 more
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Injectable Bone Cements: A Generational Framework for Bioactivity, Porosity, and Mechanobiological Design at the Nanoscale

Advanced NanoBiomed Research, EarlyView.
Key demographic, biological, and material considerations that drive the need for advanced injectable bone cement technologies. Injectable bone cements (IBCs) are widely used in orthopaedic and craniofacial applications due to their minimally invasive delivery and ability to provide early mechanical stabilisation.
Frank Fei, Yogambha Ramaswamy, Young Jung No   +2 more
wiley   +1 more source

Arthroscopic Posterior Labral Repair in Professional Contact Athletes Restores Shoulder Stability and Enables Successful Return to Pre‐injury Competition

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To evaluate return‐to‐competition rates, posterior shoulder instability recurrences, and revision surgeries following arthroscopic posterior labral repair in this elite cohort. Methods A retrospective review of prospectively collected data included professional contact athletes undergoing primary arthroscopic posterior labral repair by a single
Ayham Jaber, Lorenz Fritsch, Michael Nocek, Christopher J. Hawryluk, Maximilian Hinz, Matthew T. Provencher, Peter J. Millett   +6 more
wiley   +1 more source

Radial capacity and hemodynamics evaluation in vitro and implantable feasibility validation in vivo of thinner bioresorbable polymer vascular stents

BMEMat, EarlyView.
A series of in vitro experiments, numerical simulations and in vivo experiments were conducted to jointly evaluate the effects of different thicknesses of bioabsorbable polymer vascular stents on their radial capacity, hemodynamics and in vivo outcomes.
Chong Chen, Tao Li, Zhongyou Li, Jingyuan Zhou, Zhuo Zhang, Yan Xiong, Rifang Luo, Yu Chen, Yunbing Wang, Ping Fu   +9 more
wiley   +1 more source

Transcatheter Repair of Sinus Venosus Defect Using a 12‐zig Covered Cheatham‐Platinum Stent in Large Superior Vena Cava—Right Atrium Junctions: Early Multicenter Experience

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Sinus venosus defect (SVD) is a rare congenital heart anomaly characterised by an abnormal communication between the atria, often associated with partial anomalous pulmonary venous connection (PAPVC). Traditional surgical repair carries significant risks, prompting exploration into less invasive transcatheter approaches.
Alberto Fuensalida, Eric Rosenthal, Saleha Kabir, Gergely Szantho, Sophia Yong, Demetris Taliotis, Mark Turner, Radwa Bedair   +7 more
wiley   +1 more source