Results 151 to 160 of about 19,521 (265)

Emerging Advanced Electronic Packaging Materials for Thermal Management in Power Electronics

Advanced Science, EarlyView.
This review surveys emerging materials for thermal management in advanced electronic packaging, with emphasis on ceramic substrates and thermal interface materials. Multiscale simulations and mechanistic analyses are highlighted, alongside the emerging role of artificial intelligence in predicting thermal properties and guiding design, offering ...
Yongjun Huo, Jiaqi Song, Wenqian Li, Jian Zhang, Yujin Zhang, Yang Fu, Wangchao Yuan, Xin Chen, Sichen Liu, Miao Jiang, Yuan Cheng, Gang Zhang   +11 more
wiley   +1 more source

Learning spatial hearing via innate mechanisms. [PDF]

PLoS Comput Biol
Chu Y, Luk W, Goodman DFM.
europepmc   +1 more source

A Conformal Wearable Ultrasound Bioelectronics for Mechanotherapy Reprogramming of Fibroblast Plasticity via Wnt‐FGF10 Axis to Overcome Fibrotic Healing in Urethral Regeneration

Advanced Science, EarlyView.
Fibrotic scarring persistently challenges urethral reconstruction. This study introduces a conformal, wearable ultrasound bioelectronic system that overcomes this by reprogramming fibroblast fate. The device activates a developmental Wnt–FGF10 axis, driving fibroblasts toward a regenerative FGF10+ phenotype that promotes angiogenesis and matrix ...
Mingming Yu, Xingxuan Zhang, Huan Zhang, Jun Wang, Fang Chen, Xiaojun Cai, Yichen Huang, Yuanyi Zheng   +7 more
wiley   +1 more source

Harnessing chemically crosslinked microbubble clusters using deep learning for ultrasound contrast imaging. [PDF]

J Med Imaging (Bellingham)
Pathour T, Rastegar G, Sirsi SR, Fei B.
europepmc   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

Liposomal J-Aggregates of Indocyanine Green as a Multifunctional Contrast Agent for Photoacoustic Imaging and Photothermal Therapy. [PDF]

Nanotheranostics
Stern N, Shrestha B, Burrell S, Tunnell J, Porter T.   +4 more
europepmc   +1 more source

Design and optimization of processes for recovering rare earth elements from end‐of‐life permanent magnets

AIChE Journal, EarlyView.
Abstract Recovery of rare earth elements (REEs) from end‐of‐life (EOL) products represents a strategic opportunity to strengthen the domestic supply chain for rare earth elements. This work presents a superstructure‐based optimization framework for finding the most economical processing pathway for different EOL rare earth permanent magnets (REPMs ...
Chris Laliwala, Oluwamayowa O. Amusat, Akintomiwa Ojo, Alejandro Garciadiego, Thomas Tarka, Debangsu Bhattacharyya, Ana I. Torres   +6 more
wiley   +1 more source

Clinical Application of Galvanic Vestibular-Evoked Myogenic Potentials in Audiovestibular Disorders-A Systemic Review. [PDF]

J Otolaryngol Head Neck Surg
Young YH, Chang CM, Cheng PW.
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Delay-Fluctuation-Resistant Underwater Acoustic Network Access Method Based on Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Shi J, Tian K, Zhang J.
europepmc   +1 more source