Latent Cardiometabolic Phenotypes and Their Sociodemographic Correlates Among US Adults: A Cross-Sectional Latent Class Analysis Using NHANES (2011-2018) Data. [PDF]
Unnikrishnan G, Singh A, Harijith KR.
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
Referral Pattern Changes Over a Decade in a Tertiary Neuro-Ophthalmology Clinic. [PDF]
Belson OD, Avisar N, Huna-Baron R.
europepmc +1 more source
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
Sedentary behavior and early childhood health: associations between screen exposure, body mass index, and foot arch structure in preschool children. [PDF]
Duran M.
europepmc +1 more source
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Efficient Variance Estimation for the Polytomous Discrimination Index. [PDF]
Feng Q +4 more
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
Anatomical Proximity of Posterior Maxillary Tooth Roots as an Independent Predictor of Maxillary Sinus Mucosal Thickening: A CBCT-Based Study. [PDF]
Yıldırım CN, Altındağ A.
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

