Results 101 to 110 of about 9,437,008 (290)

Electrolyte Engineering Challenges and Opportunities for Next‐Generation Aqueous Ammonium‐Ion Batteries

open access: yesAdvanced Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) face a hydrogen‐bond paradox: the HB network enables fast NH4+ transport but triggers water decomposition. This review dissects this dilemma, evaluates multiple electrolyte engineering strategies, and outlines four future directions for next‐generation AAIB design ABSTRACT Aqueous ammonium‐ion batteries (AAIBs ...
Zi‐Hang Huang   +6 more
wiley   +1 more source

Benchmarking uncertainty quantification for protein engineering.

open access: yesPLoS Computational Biology
Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. Such methods
Kevin P Greenman   +2 more
doaj   +1 more source

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

open access: yesAdvanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick   +4 more
wiley   +1 more source

Bayesian approaches to associative learning: From passive to active learning [PDF]

open access: yesLearning & Behavior, 2008
Traditional associationist models represent an organism's knowledge state by a single strength of association on each associative link. Bayesian models instead represent knowledge by a distribution of graded degrees of belief over a range of candidate hypotheses.
openaire   +2 more sources

Inverse Design of Nanoparticulate Materials

open access: yesAdvanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré   +5 more
wiley   +1 more source

Active citizenship and late-life learning in the community [PDF]

open access: yes, 2013
In an age where the official, adult-education component of lifelong learning is dominated by the discourse of employability and performativity, reclaiming the radical agenda of critical, adult, active citizenship is not only urgent but indispensable for ...
Borg, Carmel, Formosa, Marvin
core  

Informed Initialization for Bayesian Optimization and Active Learning

open access: yesCoRR
28 ...
Carl Hvarfner   +3 more
openaire   +3 more sources

Advanced MXene‐Based Multifunctional Nanoarchitecture Materials Engineered for Adsorptive Cleanup of Hazardous Radioactive Pollutants: A Comprehensive Critical Review

open access: yesAdvanced Materials Interfaces, EarlyView.
This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel   +1 more
wiley   +1 more source

Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]

open access: yes, 2011
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David   +3 more
core   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli   +13 more
wiley   +1 more source

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