Results 151 to 160 of about 3,448,310 (245)

Editorial: Computational approaches to neurodegenerative diseases. [PDF]

Front Comput Neurosci
Antonijevic M.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Volumetric Ablation of Phenolic Resin in Extreme Environments: A Variable-Property Physics-Informed Neural Network Framework. [PDF]

Polymers (Basel)
Du W, Ma T, Song H.
europepmc   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

Bridging Materials and Performance in Batteries: The Role of Accurate Models in Electrode Design and Manufacturing. [PDF]

Small Methods
Zhao L, Ren D, Wang L, He X.
europepmc   +1 more source

Water Organization and Hydration‐Dependent Hydroxide Transport in Anion Exchange Membranes (AEM)

Advanced Functional Materials, EarlyView.
Hydroxide transport in anion exchange membranes is governed by the organization of water within the polymer rather than by hydration alone. A hydration‐window framework is presented to unify transport, swelling, and mechanical stability, providing guidance for designing durable membranes for fuel cells and other hydroxide‐based electrochemical ...
Phumlani F. Msomi
wiley   +1 more source

Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks. [PDF]

PLoS One
Ren L, Jin S.
europepmc   +1 more source

Electrochemical Pathways for Nitrate Conversion to Ammonia: From Environmental Challenges to Ammonia Economy

Advanced Functional Materials, EarlyView.
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li, Yunpeng Zuo, Xiaoran Zhang, Jieqiong Shan, Kenneth Mei Yee Leung, Bin Liu, Peter Strasser, Adrian Fisher, Zonglong Zhu, Xin Wang   +9 more
wiley   +1 more source

Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteries. [PDF]

Sci Rep
Eltamaly AM, Almutairi Z.
europepmc   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source