Results 161 to 170 of about 2,882,803 (299)
From episodes to populations: evolutionary explanation requires a constructive epistemology. [PDF]
Adler D.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Disentangling Boltzmann Brains, the Time-Asymmetry of Memory, and the Second Law. [PDF]
Wolpert D, Rovelli C, Scharnhorst J.
europepmc +1 more source
Mode of access: Internet.Split into: Oregon. Game laws, state of Oregon; and: Oregon.
Oregon.
core
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang +6 more
wiley +1 more source
The Evolution of Physical Laws and the Entropic Measure of Time. [PDF]
Martyushev LM.
europepmc +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Understanding the Performance of Deep Computer Vision Models: A Symbolic Regression Approach to Accuracy and Latency Prediction. [PDF]
Dhanani DR +5 more
europepmc +1 more source
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Sex differences in alcohol use and perceptions of cognitive health in rural Uganda. [PDF]
Maleka E +7 more
europepmc +1 more source

