Results 121 to 130 of about 404,403 (255)

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod   +10 more
wiley   +1 more source

Some Aspects of Mathematical and Physical Approaches for Topological Quantum Computation [PDF]

open access: yesComputer Science Journal of Moldova, 2011
A paradigm to build a quantum computer, based on topological invariants is highlighted. The identities in the ensemble of knots, links and braids originally discovered in relation to topological quantum field theory are shown: how they define Artin ...
V. Kantser
doaj  

Product and coproduct in string topology [PDF]

open access: yesAnnales Scientifiques de l'École Normale Supérieure
Let M be a closed Riemannian manifold. We extend the product of Goresky-Hingston, on the cohomology of the free loop space of M relative to the constant loops, to a nonrelative product. It is graded associative and commutative, and compatible with the length filtration on the loop space, like the original product.
Hingston, Nancy, Wahl, Nathalie
openaire   +3 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

B-strings on non-Kählerian manifolds

open access: yesNuclear Physics B, 2016
We explain how to couple topological B-models whose targets are non-Kählerian manifolds to topological gravity and to thus define corresponding topological strings.
Camillo Imbimbo
doaj   +1 more source

Topological aspects of string theories

open access: yesNuclear Physics B, 1987
In previous work, a new action principle for strings and superstrings in arbitrary dimensions was developed. It led to a classification of strings similar to the classification of point particles as massive, massless and tachyonic. Topological aspects of four-dimensional strings were also investigated.
A. P. BALACHANDRAN   +3 more
openaire   +4 more sources

Hydrogen Bond Network‐Enhanced Zincophilic Hydroxypropyl Cellulose Hybrid Layer for an Ultra‐Stable Zinc Metal Anode

open access: yesCarbon Energy, EarlyView.
The dynamic instability of the ZMA/electrolyte interface has been addressed by constructing a zincophilic hydroxypropyl cellulose hybrid layer (HZ@Zn) reinforced with hydrogen‐bonded networks on the zinc anode. This advantageous HZ@Zn not only improves ion transport kinetics but also shows lower desolvation activation energy during plating processes ...
Yi Huang   +6 more
wiley   +1 more source

Topological Phase Transition in a One-Dimensional Elastic String System

open access: yesCrystals, 2019
We show that topological interface mode can emerge in a one-dimensional elastic string system which consists of two periodic strings with different band topologies.
Ya-Wen Tsai   +3 more
doaj   +1 more source

Topological string on AdS× [PDF]

open access: yesNuclear Physics B, 2000
24 pages, typos corrected, the final version to be published in Nucl.
openaire   +3 more sources

MS2DECIDE: Aggregating Multiannotated Tandem Mass Spectrometry Data with Decision Theory Enhances Natural Products Prioritization

open access: yesChemistry–Methods, EarlyView.
Tandem mass spectrum to decision (MS2DECIDE) leverages decision theory and expert knowledge to aggregate the outputs of three widely used annotation tools (GNPS, Sirius, and ISDB‐LOTUS) and compute a recommendation for targeting natural products with regard to their potential novelty.
Yassine Mejri   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy