Fully Characterizing Lossy Catalytic Computation. [PDF]
Folkertsma M +3 more
europepmc +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
GMDH-Guided Variable Prioritization in PAGE Block Growth of PEO-<i>b</i>-PAGE via Living Anionic Ring-Opening Polymerization. [PDF]
Lee S, Jang JD, Bae J, Kim TH.
europepmc +1 more source
Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
A Modified Polynomial Hysteretic Model for Asymmetric Vertical Hysteretic Behavior of Inclined Rubber Bearings. [PDF]
Li Z, Chen Y, Xiao Z, Liu B.
europepmc +1 more source
Extrinsic and Intrinsic Charge Transfer at Interfaces of Membrane‐Based Oxide Heterostructures
Freestanding oxides have emerged as a new opportunity to tailor oxides outside of the typical epitaxial constraints. We present the fabrication of TiO2‐terminated SrTiO3 membranes via direct growth control. We demonstrate competing ionic and electronic charge transfer in LaAlO3/SrTiO3 bilayers using near ambient pressure XPS.
Kapil Nayak +8 more
wiley +1 more source
Predictions of Liquid Methane (LCH<sub>4</sub>) Lubricated Hybrid Tilting Pad Journal Bearings for Reusable Rocket Turbopumps. [PDF]
Kim Y, Kim TH.
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Retraction Note: Mathematical modeling and computation of NM-polynomial indices for physicochemical properties prediction. [PDF]
Tawhari QM +4 more
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source

