Results 101 to 110 of about 689,791 (288)
Improved techniques for sampling complex pedigrees with the Gibbs sampler
Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational problems in linkage and segregation analyses. Many variants of this approach exist and are practiced; among the most popular is the Gibbs sampler.
Fernando Rohan L +2 more
doaj +1 more source
Ni1‐Bi1 dual‐atom dopants are achieved for activating Ru lattices without blocking noble atoms. This model exhibits an ultralow overpotential of 11.4 mV and superb stability at 10 mA cm−2 toward hydrogen evolution reaction, enabling a proton exchange membrane water electrolyzer that needs only 2.233 V to reach 3.0 A cm−2 and operates stably at 1.0 A cm−
Shuiping Luo +17 more
wiley +1 more source
Gibbs-BERTopic: A Hybrid Approach for Short Text Topic Modeling
As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements.
Yan Zhu, Yueying Liu
doaj +1 more source
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng +8 more
wiley +1 more source
Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution
To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma +9 more
wiley +1 more source
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim +13 more
wiley +1 more source
Background and Objectives: Analysis of ordinal data outcomes could lead to bias estimates and large variance in sparse one. The objective of this study is to compare parameter estimates of an ordinal regression model under maximum likelihood and Bayesian
M Chehrazi +4 more
doaj
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Dual‐Ligand Metal‐Organic Frameworks via In Situ Amidoxime Engineering for Selective Ion Separation
Inspired by microbial ion‐trapping mechanisms, a mild and universal strategy is developed to construct highly porous amidoxime‐functionalized MOFs. DFT calculations and molecular force measurements reveal that the dual‐ligand amidoxime configuration significantly strengthens Ga(III) affinity.
Zhifang Lv +9 more
wiley +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source

