Results 161 to 170 of about 10,961 (308)

Generalized Kähler-Einstein metric along Q-Fano fibration

open access: yes, 2017
In this paper, we show that along $\mathbb Q$-Fano fibration, when general fibres, base and central fiber (with at worst Kawamata log terminal singularities)are K-poly stable then there exists a relative K\"ahler-Einstein metric.
Jolany, Hassan
core  

Mechanisms of Alkali Ionic Transport in Amorphous Oxyhalides Solid State Conductors

open access: yesAdvanced Energy Materials, EarlyView.
Large‐scale machine learning‐based molecular dynamics simulations are used to investigate isovalent amorphous oxyhalides, revealing a remarkable chemically independent ionic conductivity. A rigorous analysis of alkali residence times across different metal–anion environments identifies divalent anions as key diffusion bottlenecks.
Luca Binci   +3 more
wiley   +1 more source

Twisted Kähler-Einstein metrics

open access: yes, 2019
We prove an existence result for twisted Kähler-Einstein metrics, assuming an appropriate twisted K-stability condition. An improvement over earlier results is that certain non-negative twisting forms are allowed.
Ross, Julius, Székelyhidi, Gábor
openaire   +2 more sources

A practical electrodialysis model for accelerating system development

open access: yesAIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman   +3 more
wiley   +1 more source

Optimize Before You Synthesize—Enhancing the Ionic Conductivity of Li7SiPS8 Using Bayesian Optimization

open access: yesAngewandte Chemie, EarlyView.
Bayesian optimization was used to optimize the synthesis parameters of the solid electrolyte Li7SiPS8$\mathrm {Li}_7\mathrm {SiPS}_8$ in order to increase the ionic conductivity. After only 32 iterations, the ionic conductivity was successfully increased from 2 to 7 mS cm−1$\mathrm {cm}^{-1}$ at 25∘C$^\circ\mathrm {C}$, while synthesis temperature and ...
Lucas G. Balzat   +8 more
wiley   +2 more sources

Dark energy and the spinning superparticle

open access: yesJournal of High Energy Physics
We revisit the theory of background fields constructed on the BRST-algebra of a spinning particle with N $$ \mathcal{N} $$ = 4 worldline supersymmetry, whose spectrum contains the graviton but no other fields.
Daniel Bockisch, Ivo Sachs
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Color‐Pure Organic Luminophores: Characteristics, Definitions, Physical Basis and Fundamental Design Principles

open access: yesAngewandte Chemie, EarlyView.
Color‐pure all‐organic emitters, i.e., with narrow spectral characteristics, are intensively studied for high‐definition organic LEDs and multi‐color bioimaging. In order to guide targeted materials design, this educative review discusses spectral characteristics, proper definitions and units, and the physical basis of spectral broadening, to distill ...
Johannes Gierschner   +6 more
wiley   +2 more sources

$\ast$-conformal Einstein solitons on N(k)-contact metric manifolds

open access: yes
The main goal of this paper is devoted to N(k)-contact metric manifolds admitting $\ast$-conformal Einstein soliton and also $\ast$-conformal gradient Einstein soliton.
Halder, Kalyan   +3 more
core  

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

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