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 +4 more
wiley +1 more source
Machine learning-driven identification of key chemical determinants of tobacco leaf sensory irritation. [PDF]
Li W +13 more
europepmc +1 more source
Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials
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 +4 more
wiley +1 more source
Bridging the accuracy-speed divide in reactive molecular dynamics with QuantaMind MD. [PDF]
Xia S, Zhang D, Shang X, Xu J.
europepmc +1 more source
Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash +6 more
wiley +1 more source
Artificial intelligence-driven magnetic property prediction and materials discovery for next-generation spintronics. [PDF]
Elilarassi R +5 more
europepmc +1 more source
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 +9 more
wiley +1 more source
Multimodal Transformer Fusion of PTR-ToF-MS Volatiles and Targeted Non-Volatile Metabolites Enables Data-Driven Grading of Baimudan White Tea. [PDF]
Zhang D, Hong SH, Li X.
europepmc +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Machine Learning-Driven Prediction of Dose-Linear Pharmacokinetics: Utilizing Molecular Descriptors to Guide Formulation Strategy. [PDF]
Levy ES, Samy KE, Anelli A, Leung DH.
europepmc +1 more source

