plasmic产品(plasmicapp/plasmic)
Visual builder for React. Build apps, websites, and content. Integrate with your codebase.
TypeScriptMIT★ 6.8K
vite-vue3-lowcode产品(buqiyuan/vite-vue3-lowcode)
vue3.x + vite2.x + vant + element-plus H5移动端低代码平台 lowcode 可视化拖拽 可视化编辑器 visual editor 类似易企秀的H5制作、建站工具、可视化搭建工具
TypeScriptMIT★ 3.4K
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons论文
Journal of Computational Physics2023引用: 367
Recent advances and applications of surrogate models for finite element method computations: a review论文
Soft Computing2022引用: 309
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark论文
SIAM/ASA Journal on Uncertainty Quantification2021引用: 235
The Hypervolume Indicator论文
ACM Computing Surveys2021引用: 238
Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks论文
SIAM Journal on Scientific Computing2020引用: 288
Managing computational complexity using surrogate models: a critical review论文
Research in Engineering Design2020引用: 422
Random forests for global sensitivity analysis: A selective review论文
Reliability Engineering & System Safety2020引用: 355
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support论文
Environmental Modelling & Software2020引用: 577
Adaptive approaches in metamodel-based reliability analysis: A review论文
Structural Safety2020引用: 264
Quality Evaluation of Solution Sets in Multiobjective Optimisation论文
ACM Computing Surveys2019引用: 320
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems论文
Journal of Computational Physics2019引用: 487
Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices论文
Environmental Modelling & Software2019引用: 755
Variational Approach for Learning Markov Processes from Time Series Data论文
Journal of Nonlinear Science2019引用: 305
Adversarial uncertainty quantification in physics-informed neural networks论文
Journal of Computational Physics2019引用: 403
REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis论文
Reliability Engineering & System Safety2019引用: 287
A Python surrogate modeling framework with derivatives论文
Advances in Engineering Software2019引用: 340
OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization论文
Structural and Multidisciplinary Optimization2019引用: 591
Data-Driven Science and Engineering论文
Cambridge University Press eBooks2019引用: 1.1K
第 1-20 条，共 416 条
上一页下一页