Results 101 to 110 of about 1,570 (213)
Advanced Electronic Materials, Volume 11, Issue 11, July 2025.Thermal conductivity, a fundamental property of lithium niobate, plays a pivotal role in determining its device performance. By integrating experiments with machine‐learning‐assisted simulations, this study demonstrates that oxygen vacancies induced by thermal reduction result in a pronounced suppression of thermal conductivity and a marked depth ...
Yunjia Bao +7 more
wiley +1 more source
Neuroevolution in Games: State of the Art and Open Challenges [PDF]
, 2015 This paper surveys research on applying neuroevolution(NE) to games. In neuroevolution, artificial neural networksare trained through evolutionary algorithms, taking inspirationfrom the way biological brains evolved.
Sebastian Risi +3 more
core +1 more source
, 2023 This record contains neuroevolution potential (NEP) and tensor neuroevolution potential (TNEP) models (nep*.txt) for molecular water species, liquid water as well as barium zirconate, along with training data (*.zip).
Rosander, Petter, https://orcid.org/
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Biomimetic Robotics and Intelligence: A Survey
SmartBot, Volume 1, Issue 2, June 2025.Biomimetic robotics and intelligence, inspired by biological systems, integrate biology, engineering, and AI, develops robots capable of adapting to complex environments. By mimicking natural structures and cognitive processes, and employing algorithms like neural networks and genetic algorithms, these systems enhance autonomy and problem‐solving. This
Yixuan Sheng +6 more
wiley +1 more source
Maximizing adaptive power in neuroevolution
PLOS ONE, 2018 In this paper we compare systematically the most promising neuroevolutionary methods and two new original methods on the double-pole balancing problem with respect to: the ability to discover solutions that are robust to variations of the environment, the speed with which such solutions are found, and the ability to scale-up to more complex versions of
Pagliuca Paolo +2 more
openaire +6 more sources
Lattice‐Distortion‐Driven Reduced Lattice Thermal Conductivity in High‐Entropy Ceramics
Advanced Science, Volume 12, Issue 19, May 22, 2025.Long‐believed potential mechanisms of lattice distortion and mass fluctuation for the reduced lattice thermal conductivity are explored by designing two groups of high‐entropy diborides based on machine‐learning‐potential‐based molecular dynamics simulations.
Yiwen Liu +5 more
wiley +1 more source
Programmable photonic unitary circuits for light computing
Nanophotonics, Volume 14, Issue 10, Page 1429-1449, May 2025.Abstract Unitarity serves as a fundamental concept for characterizing linear and conservative wave phenomena in both classical and quantum systems. Developing platforms that perform unitary operations on light waves in a universal and programmable manner enables the emulation of complex light–matter interactions and the execution of general‐purpose ...
Kyuho Kim +5 more
wiley +1 more source
Human-assisted neuroevolution through shaping, advice and examples [PDF]
, 2011 Many different methods for combining human expertise with machine learning in general, and evolutionary computation in particular, are possible. Which of these methods work best, and do they outperform human design and machine design alone?
Risto Miikkulainen +2 more
core +1 more source
Generative NeuroEvolution for Deep Learning
CoRR, 2013 An important goal for the machine learning (ML) community is to create approaches that can learn solutions with human-level capability. One domain where humans have held a significant advantage is visual processing. A significant approach to addressing this gap has been machine learning approaches that are inspired from the natural systems, such as ...
Phillip Verbancsics, Josh Harguess
openaire +2 more sources
Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.No abstract is available for this article.
wiley +1 more source