Results 161 to 170 of about 11,571 (267)
Machine learning driven reservoir property modeling of the AEB-3E reservoir in the Berenice field Egypt. [PDF]
Eid AM, Mabrouk WM, Amer M, Metwally A.
europepmc +1 more source
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Interpretable Machine Learning for LPR Risk Estimation: A Single-Center Retrospective Case-Control Study. [PDF]
Long C +5 more
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Biomechanical Phenotyping of Forced Expiration for Precision Pulmonary Rehabilitation: A Machine Learning Approach to Identify Structural and Kinetic Drivers. [PDF]
Sangkarit N, Tapanya W.
europepmc +1 more source
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting <i>E. coli O157:H7</i> in poultry meat. [PDF]
Tian Y +8 more
europepmc +1 more source
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley +1 more source
In the last years, realistic applications have brought robots to complex environments such as museums, hospitals, and homes. These are unstructured, dynamic, uncertain settings inhabited by humans.
D'ORTENZI, ELEONORA
core
A Single Session of Slackline Training Induces Rapid, Task-Specific Balance Improvements and Elevated Resting-State Beta Band Power. [PDF]
Kenville R +5 more
europepmc +1 more source

