Results 261 to 270 of about 2,163,565 (354)
Composites made of semiconducting carbon nanotubes and p‐type polymers, when adequately doped with molecular dopants, can exhibit highly delocalized charge carrier transport, showing high thermoelectric performances. The efficient charge delocalization is enabled by the reduced coulombic binding energy at high carrier concentration and the small ...
Ye Liu+7 more
wiley +1 more source
Twenty Years of Kaniadakis Entropy: Current Trends and Future Perspectives. [PDF]
Hristopulos DT+2 more
europepmc +1 more source
Rank Equalities Related to Generalized Inverses of Matrices and Their Applications
Yongge Tian
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This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag+3 more
wiley +1 more source
Prioritized Multi-task Motion Coordination of Physically Constrained Quadruped Manipulators. [PDF]
Xie A+6 more
europepmc +1 more source
Enhancing Thermoelectric Performance of Cd₃P₂ by Alloying with Dirac Material Cd₃As₂
This study demonstrates that alloying Cd₃P₂ with Dirac material Cd₃As₂ significantly enhances its thermoelectric performance. Key improvements include increased carrier mobility, reduced effective mass, and lower deformation potential, resulting in a doubled power factor and improved thermoelectric efficiency, which renders this material applicable for
Kunling Peng+11 more
wiley +1 more source
Association between eGDR and MASLD and liver fibrosis: a cross-sectional study based on NHANES 2017-2023. [PDF]
Peng W, Li Z, Fu N.
europepmc +1 more source
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin+7 more
wiley +1 more source
Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]
Mehtaj N, Banerjee S.
europepmc +1 more source
Machine learning applications in Li‐ion batteries. Abstract Technology for lithium‐ion batteries (LIBs) is developing rapidly, which is essential to modern devices and renewable energy sources. The latest development focuses on the optimization of cathode materials, which is critical in determining battery performance and durability.
Adil Saleem+3 more
wiley +1 more source