Results 171 to 180 of about 182,801 (272)
Boosting association rule mining in large datasets via Gibbs sampling. [PDF]
Qian G, Rao CR, Sun X, Wu Y.
europepmc +1 more source
Toward Predictive Theory in Single‐Atom Catalysis
A lifecycle‐oriented framework reframes modeling in single‐atom catalysis. By combining ensemble‐based descriptions with explicit validation against experimental observables, the approach defines the scope of theory across catalyst synthesis, activity, stability, and safety, clarifying where quantitative insight is possible and where interpretation ...
Andrea Ruiz‐Ferrando +3 more
wiley +1 more source
Blocking Gibbs sampling in the mixed inheritance model using graph theory
Jensen Claus, Lund Mogens
doaj +1 more source
Programmable hydration pathways enable reconfigurable ionic thermoelectrics in polyquaternium hydrogels. By coupling microscopic solvation, mesoscale water channels, and macroscopic boundary control, hydration‐gated protonics decouples thermopower, response speed, and stability.
Zehao Zhao, Yun Shen, Dongyan Xu
wiley +1 more source
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width. [PDF]
De Sa C, Zhang C, Olukotun K, Ré C.
europepmc +1 more source
This work reports a strategy of engineering charge‐assisted hydrogen bonds to tailor charge transfer channels in HOFs, significantly improving their performance in photocatalytic H2O2 production. ABSTRACT The production of H2O2 via artificial photosynthesis is often limited by inefficient charge‐carrier separation, causing significant charge ...
Yajun Zhao +7 more
wiley +1 more source
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni +10 more
wiley +1 more source
Bayesian analysis of genetic change due to selection using Gibbs sampling
Gianola D +3 more
doaj +1 more source
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much. [PDF]
He B, De Sa C, Mitliagkas I, Ré C.
europepmc +1 more source
Optimization of SWCNT‐FET Biosensors by Aptamer Engineering and Toehold‐Mediated Strand Displacement
Aptamer‐based single‐walled carbon nanotube (SWCNT) field‐effect transistor (FET) biosensors are developed for label‐free, real‐time biomarker detection. Truncated DNA aptamers enhance sensitivity through improved conformational switching. A toehold‐mediated strand displacement (TMSD) strategy optimizes functionalization and simplifies fabrication. The
Haosen Miao +8 more
wiley +1 more source

