Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" حسب Yifei Gu (9507104)

"…<p dir="ltr">This thesis bridges the gap between field observations and the empirical understanding of ecological systems by applying AI models at different spatial scales and hierarchical levels to study ecological complexity. The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…"

Image 5_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Image 3_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Image 2_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Image 4_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Table 1_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.docx حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Image 6_Age- and sex-specific reference intervals for trace elements in infants and children: a multi-center study in Lincang, China.jpg حسب Junqiang Li (491954)

"…</p>Conclusions<p>We have established RIs for six trace elements for children, and the methods we use provide reference for laboratories around the world.…"

Measurement parameters of five BF. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Parameters required in DEM simulation. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

BP neural network topology structure. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Raw materials obtained from BFs. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Schematic diagram of the JKR bonding model. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Particle size distribution of arrow BF. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Particle size distribution of palm BF. حسب Lintao Chen (4634617)

"…To address the aforementioned challenges, this paper proposes a calibration method for the discrete element contact parameters of BFs based on dimensional analysis and a back propagation (BP) neural network. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"

Multimaterial Metamaterial Inverse Design via Machine Learning for Tailorable and Reusable Energy Absorption حسب Xuyang Li (11431426)

"…We delve into studying the effects of material parameters, nodal coordinates, and beam diameter variations on the structural compressive performances by conducting over 20,000 simulation experiments on randomly generated BCC lattice structures using a finite element analysis. Subsequently, the metamaterials with the specific platform stress values (from 0.015 to 4.05 MPa) and specific energy absorptions (from 0.049 to 23.377 J/g) can be inversely designed with the aid of the artificial neural networks and genetic algorithms to pinpoint optimized parameters from a 181-dimensional space. …"