Advanced 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
Triple equivalence for the emergence of biological intelligence
Communications PhysicsIntelligent algorithms developed evolutionarily within neural systems are considered in this work. Mathematical analyses unveil a triple equivalence between canonical neural networks, variational Bayesian inference under a class of partially observable ...
Takuya Isomura
doaj +1 more source
Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach [PDF]
We present a Bayesian sampling approach to parameter estimation in a discrete-response model with double rules of selectivity, where the dependent variables contain two layers of binary choices and one ordered response.
Brett A. Inder, Rong Zhang, Xibin Zhang
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Bioengineered Interfaces for Peripheral Nerve Sensory Restoration
Advanced 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
Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data. [PDF]
BMC Med Res Methodol, 2023 Rotejanaprasert C, Lawson AB, Maude RJ.
europepmc +1 more source
Robust FDI Determinants: Bayesian Model Averaging In The Presence Of Selection Bias [PDF]
The literature on Foreign Direct Investment (FDI) determinants is remarkably diverse in terms of competing theories and empirical results. We utilize Bayesian Model Averaging (BMA) to resolve the model uncertainty that surrounds the validity of the ...
Theo S Eicher +2 more
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Inverse Design of Nanoparticulate Materials
Advanced 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
Characterizing economic trends by Bayesian stochastic model specification search [PDF]
We apply a recently proposed Bayesian model selection technique, known as stochastic model specification search, for characterising the nature of the trend in macroeconomic time series. We illustrate that the methodology can be quite successfully applied
Stefano Grassi, Tommaso Proietti
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Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Advanced Materials, EarlyView.Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]
While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
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