Results 201 to 210 of about 547,687 (323)
Regularized reproducing kernel particle method
Huy Anh Nguyen, Satoyuki Tanaka
openaire +1 more source
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern +13 more
wiley +1 more source
How competition can drive allochronic divergence: A case study in the Marine Midge, Clunio marinus. [PDF]
Jacobsen AGG, Kaiser TS, Gokhale CS.
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
Bayesian Image Mediation Analysis. [PDF]
Xu Y, Johnson TD, Heitzeg M, Kang J.
europepmc +1 more source
Asymmetric Multi‐Site Ion Exchange in Porous Carbon Electrodes
A lognormal‐distribution 2D EXSY NMR framework uncovers the full spectrum of ion dynamics in hierarchical porous carbons, bridging fast surface exchange and confined in‐pore transport—establishing structure–transport relationships for next‐generation energy storage, gas storage, and ion removal materials.
Henry R. N. B. Enninful +5 more
wiley +1 more source
Optimizing genomic selection models for wheat breeding under contrasting water regimes in a mediterranean environment. [PDF]
Yannam VRR, Lopes MS, Soriano JM.
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
Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows. [PDF]
de Wit XM +5 more
europepmc +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source

