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
Climate-Driven Changes in Potential Suitable Habitat of <i>Protegira songi</i> in China Under Future Climate Scenarios. [PDF]
Zhang X, Li T, Hua C, Jiang S.
europepmc +1 more source
Load Distributing Metamaterials Via Discrete Optimization
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 +6 more
wiley +1 more source
Did You Know That Confounding Could Bias Results Obtained within an Economic Evaluation? [PDF]
LaRue S +3 more
europepmc +1 more source
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie +13 more
wiley +1 more source
Sensitivity analysis of annual energy production and associated economic losses due to external wake effects on offshore wind clusters: A case study of the Shinan offshore wind cluster in southwest sea of Korea. [PDF]
Ryu G +6 more
europepmc +1 more source
Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim +11 more
wiley +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Managing global risks of invasive aquatic plants under climate change: ensemble species distribution modeling and economic cost projections. [PDF]
Xing W, Feng Z, Huang W, Li X.
europepmc +1 more source

