Results 111 to 120 of about 421,354 (246)

A Practical Guide to First‐Principles Calculations for Pseudocapacitive Materials: From Electrochemical Experiments to Atomistic Understanding

open access: yesChemElectroChem, Volume 13, Issue 20, 16 October 2026.
Electrochemical experiments reveal what happens, whereas first principles calculations explain why. Emerging computational electrochemistry is bridging these perspectives, enabling quantitative understanding of electrode/electrolyte interfaces and enabling the rational design of next‐generation energy storage materials.
Kenji Oqmhula, Ryo Maezono, Kenta Hongo
wiley   +1 more source

Lie 2-algebra models [PDF]

open access: yes, 2014
In this paper, we begin the study of zero-dimensional field theories with fields taking values in a semistrict Lie 2-algebra. These theories contain the IKKT matrix model and various M-brane related models as special cases.
Saemann, Christian; id_orcid   +3 more
core   +1 more source

Symmetric subgroups in modular group algebras [PDF]

open access: yes, 2010
This preprint is translated from the original journal publication in Russian: A. Konovalov and A. Tsapok, Symmetric subgroups of the normalised unit group of the modular group algebra of a finite p-group, Nauk. Visn. Uzhgorod. Univ., Ser. Mat., 9 (2004),
Krivokhata, A. G., Konovalov, Alexander
core   +2 more sources

Robotic Computer‐Assisted Dental Implant Surgery Versus Free‐Hand and Guided Techniques: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials

open access: yesClinical and Experimental Dental Research, Volume 12, Issue 5, October 2026.
ABSTRACT Background Robotic computer‐assisted implant surgery (r‐CAIS) aims to improve implant placement trueness, but existing reviews include heterogeneous designs, and no review has exclusively synthesized RCTs to date. This review aimed to evaluate the positional trueness and clinical outcomes of r‐CAIS compared with free‐hand implant surgery (FHIS)
Sultan Ainoosah   +5 more
wiley   +1 more source

The Enumeration of (⊙,∨)-Multiderivations on a Finite MV-Chain

open access: yesAxioms
In this paper, (⊙,∨)-multiderivations on an MV-algebra A are introduced, the relations between (⊙,∨)-multiderivations and (⊙,∨)-derivations are discussed.
Xueting Zhao   +3 more
doaj   +1 more source

Generalizing the Gaussian Network Model: Spanning‐Tree Thermodynamics Shows Entropy‐Driven KRAS Activation

open access: yesProteins: Structure, Function, and Bioinformatics, Volume 94, Issue 10, Page 1671-1685, October 2026.
ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley   +1 more source

MV-ERM.

open access: yes, 2020
(A) ERM for single-view learning. It demonstrates a general single-view learning algorithm (based on ERM estimator) that takes one data set as input, adopts a hypothesis space and a loss function , and outputs a function that predicts the label ...
Nam D. Nguyen (8661216)   +1 more
core   +1 more source

The composition algebra of a cyclic quiver [PDF]

open access: yes, 1993
Ringel CM. The composition algebra of a cyclic quiver. Proceedings of the London Mathematical Society : Ser. 3.
Ringel, Claus Michael
core   +1 more source

D-Posets with Meet Function

open access: yesAdvances in Electrical and Electronic Engineering, 2004
For any two observables on a full tribe we can always construct a two–dimensional observable. In this case the crucial role is played by pointwise multiplication of the functions of tribe.
Frantisek Kopka
doaj  

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 15, Page 7193-7213, October 2026.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

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