Results 141 to 150 of about 69,371,906 (219)
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Temperature-Associated Variation in Evolutionary Rates of <i>FADS1</i> and <i>FADS2</i> in Rodents. [PDF]
Zhao C +7 more
europepmc +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Groups acting on rooted trees: dimension, subgroups, randomness and dynamics
486 p.The thesis is devoted to the study of different aspects of groups acting on rooted trees; namely the Hausdorff dimension, subgroup structure, randomness and connections to dynamics.
Fariña Asategui, Jorge
core
Forest Densification and Pollution Rival Climate in Driving US Tree Demographic Change. [PDF]
Kling MM +7 more
europepmc +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source
Patterns of plastid gene evolution: identifying candidate genes for plastid-nuclear incompatibility across the Campanulaceae. [PDF]
Scoffield B +3 more
europepmc +1 more source
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Genome-Wide Identification of the PME Gene Family in Plum and Its Potential Roles in Fruit Texture Formation. [PDF]
Li L +11 more
europepmc +1 more source

