Results 241 to 250 of about 4,793 (299)

Entropy, Periodicity and the Probability of Primality. [PDF]

Entropy (Basel)
Croll GJ.
europepmc   +1 more source

Algorithmic Randomness as Foundation of Inductive Reasoning and Artificial Intelligence [PDF]

, 2015
Hutter, Marcus
core  

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

The jam-based discovery framework : How lab culture, shared data and collaboration shape scientific discovery. [PDF]

EMBO Rep
Maimon R.
europepmc   +1 more source

Neutron Reflectometry and Compression of Graded Hydrogel Surfaces

Advanced Materials Interfaces, EarlyView.
Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer, Alex Q. Zhang, Mehdi Karimi, Ahmed Al Kindi, Linnaea D. Uliassi, Nemea S. Courelli, Julia J. Ong, Conor D. Pugsley, Andrew R. Rhode, Erik B. Watkins, Rebecca J.L. Welbourn, Alexander Alexeev, Angela A. Pitenis   +12 more
wiley   +1 more source

A comparative evaluation of measures to assess randomness in human-generated sequences. [PDF]

Behav Res Methods
Angelike T, Musch J.
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

A Survey on Proof of Sequential Work: Development, Security Analysis, and Application Prospects. [PDF]

Entropy (Basel)
Zhang J, Ran Y, Huang X, Zuo C, Duan J, Pan Y, Wang L, Wang J.   +7 more
europepmc   +1 more source

Information Theory in Perception of Form: From Gestalt to Algorithmic Complexity. [PDF]

Entropy (Basel)
Algom D, Fitousi D.
europepmc   +1 more source

From Artificial Intelligence to Quantum Computing: Promise and Prudence in the Field of Cardiovascular Medicine. [PDF]

J Am Heart Assoc
Ayyad M, Kim E, Allencherril J.
europepmc   +1 more source