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- Predicting Spinel Disorder and Its Effect on Oxygen Transport Kinetics in Hercynite
- Predicting spring green-up across diverse North American grasslands
- Predicting Spring Phenology in Deciduous Broadleaf Forests: An Open Community Forecast Challenge
- Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge
- Predicting stable stoichiometries of compounds via evolutionary global space-group optimization
- PREDICTING STRUCTURAL ENERGIES OF ATOMIC LATTICES
- Predicting structural properties of amorphous silicon carbonitride by atomistic simulation
- Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry
- Predicting subsurface sonar observations with satellite-derived ocean surface data in the California Current Ecosystem
- Predicting subsurface sonar observations with satellite-derived ocean surface data in the California Current Ecosystem
- Predicting surprise across contexts: Neuroscience
- Predicting Survey Responses: How and Why Semantics Shape Survey Statistics on Organizational Behaviour
- Predicting the binding affinities of misacylated tRNAs for Thermus thermophilus EF-Tu.GTP.
- Predicting the Electrical, Mechanical, and Geometric Contributions to Soft Electroadhesives through Fracture Mechanics
- Predicting the Evolution of the 2014-2016 California Current System Marine Heatwave From an Ensemble of Coupled Global Climate Forecasts
- Predicting the flux of sediment to the coastal zone: Application to the Lanyang Watershed, Northern Taiwan
- Predicting the formation of aldehydes and BOM
- Predicting the longevity of resources shared in scientific publications
- Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood
- Predicting the mechanical properties of biopolymer gels using neural networks trained on discrete fiber network data
- Predicting the Net Basin Supply to the Great Lakes with a Hydrometeorological Model
- Predicting the responsiveness of soil biodiversity to deforestation: a cross-biome study
- Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model
- Predicting the Rossby Number in Convective Experiments
- Predicting the size- and temperature-dependent shapes of precipitates in Al-Zn alloys
- Predicting the solar thermochemical water splitting ability and reaction mechanism of metal oxides: a case study of the hercynite family of water splitting cycles
- Predicting the Solar Wind at the Parker Solar Probe Using an Empirically Driven MHD Model
- Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits
- Predicting the temperature dependence of microbial respiration in soil: A continental-scale analysis
- Predicting the terrestrial flux of sediment to the global ocean: a planetary perspective