D
Dan Bolintineanu
H指数:22
被引数:1.2万
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Learning unconventional rheology: Multi-experiment fusion with physics-informed neural networks
学习非常规流变学:基于物理信息神经网络的多元实验融合
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
演变过程的神经网络模型的不确定性量化:基于朗之万采样的方法
LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
LAMMPS-一种灵活的模拟工具,用于在原子,介观和连续尺度上进行基于粒子的材料建模
Anisotropy evolution of elastomeric foams during uniaxial compression measured via in-situ X-ray computed tomography
通过原位x射线计算机断层扫描测量的单轴压缩过程中弹性体泡沫的各向异性演变
MATERIALIA
IF2.9
Sintering processes in direct ink write additive manufacturing: A mesoscopic modeling approach
直接墨水写入增材制造中的烧结过程: 介观建模方法
ACTA MATERIALIA
IF9.3
Heterogeneous Coordination Environments in Lithium-Neutralized Ionomers Identified Using 1H and 7Li MAS NMR
使用1h和7Li MAS NMR鉴定的锂中和离聚物中的异质配位环境
MATERIALS
IF3.2

