Results 191 to 200 of about 4,903,537 (303)
Monitoring seasonal and long-term forest canopy dynamics using Sentinel-2 imagery and Random Forest on the Google Earth Engine platform. [PDF]
Kumar P +7 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Decorrelating carbon and water fluxes in the Amazon Basin. [PDF]
Worden S +5 more
europepmc +1 more source
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source
Accuracy assessment of global land cover datasets for monitoring forest landscape restoration targets in Malawi. [PDF]
Uganja T, Mollee E, Gibbons J.
europepmc +1 more source
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Scale-dependent biases in systematic land cover maps undermine freshwater ecological assessment. [PDF]
Fernández de Larrea I +3 more
europepmc +1 more source
Idaho Forest: From Lumberjacks to Lasersaws: Teacher Guide
Idaho Forest Products Commission educational publication.
Forest Products Commission, Idaho;
core
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source

