Results 51 to 60 of about 8,346,191 (267)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Grounding Bohmian Mechanics in Weak Values and Bayesianism [PDF]

, 2007
Bohmian mechanics (BM) is a popular interpretation of quantum mechanics in which particles have real positions. The velocity of a point x in configuration space is defined as the standard probability current j(x) divided by the probability density P(x ...
Bell J S, Bell J S, Bell J S, Bell J S, Bell M, Bohm D, Brown M R, Brown M R Hiley B J, Bub J, Cushing J T, Cushing J T, de Broglie L, de Finetti B, Dickson W M, Dürr D, Dürr D, Garretson J L, H M Wiseman, Holland P, Jaynes E T, Madelung E, Philippidis C, Ryder L H, Sudbery A, Tolman R C   +24 more
core   +2 more sources

How Uncertain Do We Need to Be?

, 2014
Expert probability forecasts can be useful for decision making (Sect. 1). But levels of uncertainty escalate: however the forecaster expresses the uncertainty that attaches to a forecast, there are good reasons for her to express a further level of ...
Jon Williamson
semanticscholar   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Testing the Multiverse: Bayes, Fine-Tuning and Typicality

, 2017
Theory testing in the physical sciences has been revolutionized in recent decades by Bayesian approaches to probability theory. Here, I will consider Bayesian approaches to theory extensions, that is, theories like inflation which aim to provide a deeper
Barnes, Luke A.
core   +1 more source

MOBOpt — multi-objective Bayesian optimization

SoftwareX, 2020
Ce travail présente un nouveau logiciel, programmé en classe Python, qui implémente un algorithme d'optimisation bayésien multi-objectif. La méthode proposée est capable de calculer l'approximation frontale de Pareto des problèmes d'optimisation avec moins d'évaluations de fonctions objectives que d'autres méthodes, ce qui la rend appropriée pour des ...
Paulo Paneque Galuzio, Emerson Hochsteiner de Vasconcelos Segundo, Leandro dos Santos Coelho, Viviana Cocco Mariani   +3 more
openaire   +2 more sources

Multi-objective Bayesian active learning for MeV-ultrafast electron diffraction [PDF]

Nature Communications
Ultrafast electron diffraction using MeV energy beams(MeV-UED) has enabled unprecedented scientific opportunities in the study of ultrafast structural dynamics in a variety of gas, liquid and solid state systems.
F. Ji, A. Edelen, Ryan Roussel, Xiaozhe Shen, S. Miskovich, S. Weathersby, D. Luo, M. Mo, Patrick Kramer, Christopher Mayes, Mohamed A K Othman, Emilio Nanni, Xijie J Wang, Alexander Reid, M. Minitti, R. J. England   +15 more
semanticscholar   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Inference to the Best Explanation Made Incoherent [PDF]

, 2017
Defenders of Inference to the Best Explanation claim that explanatory factors should play an important role in empirical inference. They disagree, however, about how exactly to formulate this role.
Climenhaga, Nevin
core   +2 more sources

Prior Distributions for Objective Bayesian Analysis

Bayesian Analysis, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Consonni, Guido, Fouskakis, Dimitris, Liseo, Brunero, Ntzoufras, Ioannis   +3 more
openaire   +4 more sources