Results 91 to 100 of about 17,511,424 (267)
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
On the Distributional Characterization of Log-returns of a World Stock Index [PDF]
In this paper we identify distributions which suitably fit log-returns of the world stock index (WSI) when these are expressed in units of different currencies.
Eckhard Platen, Kevin Fergusson
core
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz +4 more
wiley +1 more source
Objective Bayesian modeling of insurance risks with the Skewed Student-t distribution.
Insurance risks data typically exhibit skewed behaviour. In this paper, we propose a Bayesian approach to capture the main features of these data sets.
Marin J, Villa C, Leisen F
core +4 more sources
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller +3 more
wiley +1 more source
Modeling of Modified Value-At-Risk for the Skewed Student-T Distribution
This paper discusses the modeling of Modified Value-at-Risk (MVaR) for asset returns of skewed Student-T distribution. MVaR for skewed Student-T distribution is a special form of MVaR models of nonnormal distribution.
Hidayat, Yuyun +4 more
core
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira +6 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Student recruitment survey 2020. Challenge and resilience in the year of Covid-19 [PDF]
This report presents the findings of the Institute of Student Employers (ISE) annual recruitment survey. Its discussion of the changes in the recruitment of graduates, school and college leavers and other non-graduate hires and interns and placement ...
Institute of Student Employers
core

