Results 91 to 100 of about 185,104 (250)
Advanced Functional Materials, EarlyView.Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida +16 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
wiley +1 more source
Commutativity of probabilistic belief revision
Frontiers in CognitionBayesian updating, also known as belief revision or conditioning, is a core mechanism of probability theory, and of AI. The human mind is very sensitive to the order in which it is being “primed”, but Bayesian updating works commutatively: the order of ...
Bart Jacobs
doaj +1 more source
Adaptive Social Learning [PDF]
, 2016 The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures.
March, Christoph
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Bayesianism without Learning [PDF]
According to the standard definition, a Bayesian agent is one who forms his posterior belief by conditioning his prior belief on what he has learned, that is, on facts of which he has become certain.
Dov Samet
core
Finite Jeffrey logic is not finitely axiomatizable [PDF]
, 2018 Bayes logics based on Bayes conditionalization as a probability updating mechanism have recently been introduced in [http://philsci-archive.pitt.edu/14136/].
Gyenis, Zalán
core
Advanced Functional Materials, EarlyView.Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Belief Updating by Communication Channel [PDF]
, 2007 In this paper, we introduce the notion of communication channel into a multiagent system. We formalize the system in term of logic with Belief modality, where each possible world includes CTL. We represent the channel by a reserved set of propositional variables.
Shingo Hagiwara +2 more
openaire +1 more source
Electroactive Liquid Crystal Elastomers as Soft Actuators
Advanced Functional Materials, EarlyView.Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley +1 more source