Results 171 to 180 of about 527,719 (327)

Conformal Interactions of Osculating Curves on Regular Surfaces in Euclidean 3-Space [PDF]

Yan-Hsiou Cheng, Yanlin Li, Pushpinder Badyal, Kuljeet Singh, Sandeep Sharma   +4 more
openalex   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Isometry groups of Lobachevskian spaces, similarity transformation groups of Euclidean spaces and Lorentzian holonomy groups [PDF]

, 2004
Anton S. Galaev
openalex   +1 more source

Geometric and singularities insights of swept surfaces via the Bishop frame in Euclidean 3-Space. [PDF]

PLoS One
Mofarreh F, Abdel-Baky R, Alsahli M.
europepmc   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Euclidean Quantum Fields with Spin on an Indefinite Inner Product State Space

, 1982
Bengt Ek
openalex   +2 more sources

Harmonics on the Quantum Euclidean Space Related to the Quantum Orthogonal Group [PDF]

, 2003
N. Z. Iorgov, A. U. Klimyk
openalex   +1 more source

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable

, 2019
Heshan Du, Natasha Alechina
openalex   +2 more sources