Results 121 to 130 of about 39,144,787 (249)
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Los Angeles County Social Survey, 2001 (LACSS)
The Los Angeles County Social Survey (LACSS) continues the Los Angeles Metropolitan Area Studies (LAMAS) and the Southern California Social Surveys (SCSS).
University of California, Los Angeles. Institute for Social Science Research.
core +2 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Journal of social science : containing the proceedings of the American Association.
Subtitle varies.Poole's index to periodical literature.No. 10 erroneously numbered no. 9.No. 6-7 continuously paged.The Proceedings for 1875-81 of the Conference of Charities and Correction (called later, National Conference of Social Work) are regarded ...
American Social Science Association.
core
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
Behavioral experiments in computational social science
Behavioral experiments are rarely used as an empirical strategy in computational social science, where empirical studies typically focus on analyzing large-scale digital trace data. We argue that behavioral experiments have a role in computational social
Wojtek Przepiorka +2 more
core +1 more source
Core Concepts: Computational social science. [PDF]
Mann A.
europepmc +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus. [PDF]
Gaffney D, Matias JN.
europepmc +1 more source

