35 speakers

mlcm-25 · Feb 26, 2024 · 82f67a5 · 82f67a5
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diff --git a/.history/_config_20240220214757.yml b/.history/_config_20240220214757.yml
@@ -0,0 +1,75 @@
+# Set theme
+theme: alembic-jekyll-theme
+
+# File excludes
+exclude:
+- README.md
+- Gemfile
+- Gemfile.lock
+
+# Set plugins
+plugins:
+- jekyll-sitemap
+- jekyll-mentions
+- jekyll-paginate
+- jekyll-seo-tag
+- jekyll-redirect-from
+- jekyll-feed
+- jekyll-commonmark
+- jekyll-include-cache
+- jemoji
+
+# Site settings
+url: 'mlcm-24.github.io'
+baseurl: ''
+title: 'ML in Chemistry and Materials 2024'
+description: ''
+permalink: pretty
+#logo: "https://www.gravatar.com/avatar/6c0377abcf4da91cdd35dea4554b2a4c?s=52"
+
+# Pagination
+paginate: 5
+paginate_path: blog/page:num
+
+# Header nav
+navigation_header:
+- title: Home
+  url: /
+- title: Registration
+  url: /registration
+- title: Program
+  url: /program
+- title: Speakers
+  url: /speakers
+- title: Past Events
+  url: /past_events
+
+# Footer nav
+navigation_footer:
+- title: Back to top
+  url: "#top"
+
+# Collections
+collections:
+  posts:
+    title: Posts
+    output: true
+    description: "My thoughts and ideas"
+    feature_text: |
+      Welcome to my blog
+    feature_image: "https://picsum.photos/2560/600?image=866"
+
+# Collection settings
+defaults:
+  -
+    scope:
+      path: ""
+      type: "posts"
+    values:
+      layout: post # Set the default layout for posts
+  -
+    scope:
+      path: ""
+      type: "pages"
+    values:
+      layout: page # Set the default layout for pages
diff --git a/.history/speakers_20240220215015.md b/.history/speakers_20240220215015.md
@@ -0,0 +1,119 @@
+---
+title: List of confirmed speakers
+---
+
+<style type="text/css">
+  .custom-list-style-type {
+    list-style-type: square;
+  }
+  .item_l1 {
+    font-size: 0.7em; 
+    line-height: 160%; 
+    border-radius: 0px; 
+    padding: 10px;
+    background-color: #6cc58d4d;
+    margin-bottom: 0px;
+    text-align: justify;
+  }
+
+  .item_l2 {
+    font-size: 0.7em; 
+    line-height: 160%; 
+    border-radius: 0px; 
+    padding: 10px;
+    background-color: #e8dddc;
+    margin-bottom: 0px;
+  }
+
+</style>
+
+- {:.item_l1} **Nong Artrith**  
+   *Debye Institute for Nanomaterials Science*  
+   ML & XAS for Amorphous Materials
+   <br> 
+- {:.item_l2} **Y	Z**  
+   *University of Michigan*  
+   Unusual Dynamics of Tetrahedral Liquids Caused by the Competition between Dynamic Heterogeneity and Structural Heterogeneity
+   <br>    
+- {:.item_l1} **Wissam Saidi**  
+   *NETL*  
+   Materials Modeling and Machine Learning
+   <br>
+- {:.item_l2} **Volker Deringer**      
+   *University of Oxford*     
+   Data-driven interatomic potentials for inorganic materials chemistry
+   <br>
+- {:.item_l1} **Mario Barbatti**    
+   *Aix Marseille University, CNRS, ICR*     
+   Machine Learning Nonadiabatic Dynamics
+   <br>
+- {:.item_l2} **Roberto Car**   
+  *Princeton University*  
+   Deep potential models for equilibrium and near equilibrium processes
+   <br>
+- {:.item_l1} **Pavlo Dral** 
+   *Xiamen University*     
+   From fast potentials for dynamics to learning dynamics
+   <br> 
+- {:.item_l2} **Olexandr Isayev**   
+   *Carnegie Mellon University*  
+   AIMNet2: Robust neural network potential for organic, element-organic
+   <br>
+- {:.item_l1} **Matthew Carbone**   
+   *Brookhaven National Laboratory*    
+   TBD
+   <br>
+- {:.item_l2} **Rebecca Lindsey**   
+    *University of Michigan*   
+    Explaining Performance of Physics-Informed Machine-Learned Interatomic Models
+    <br>
+- {:.item_l1} **Alexandre Tkatchenko**   
+    *University of Luxembourg*  
+    Navigating Chemical Compound Space with Machine Learning
+    <br>
+- {:.item_l2} **Reinhard Maurer**   
+    *University of Warwick*     
+    Machine learning of electronic structure for molecular design
+    <br>
+- {:.item_l1} **Zsuzsanna Koczor-Benda**    
+    *University of Warwick*    
+    Machine learning-based molecular design for plasmonic nanosystems
+    <br>
+- {:.item_l2} **Oleg Prezhdo**    
+    *University of Southern California*  
+    Nonadiabatic Molecular Dynamics with Machine Learning
+    <br>
+- {:.item_l1} **Julien Lam**   
+    *CNRS*      
+    Exploiting constrained linear models for machine-learning interaction potentials
+    <br>
+- {:.item_l2} **David Yaron**    
+    *Carnegie Mellon University*    
+    Quantum chemical Hamiltonians as flexible and interpretable model forms for machine learning
+    <br>
+- {:.item_l1} **Puck van Gerwen**   
+    *EPFL*  
+    EquiReact: Equivariant Neural Networks for Chemical Reactions
+    <br>
+- {:.item_l2} **Rohit Goswami**    
+    *University of Iceland*   
+    Throwaway Gaussian Processes for Saddle Searches
+    <br>
+- {:.item_l1} **Justin Smith**   
+    *NVIDIA*      
+    TBD
+    <br>
+- {:.item_l2} **Karel Berka**    
+    *Palacky University Olomouc*      
+    MolMeDB - free database of molecules on membranes
+- {:.item_l1} **Chiho Kim**    
+    *GeorgiaTech*      
+    TBD
+    <br>
+- {:.item_l2} **Karel Berka**    
+    *Palacky University Olomouc*      
+    MolMeDB - free database of molecules on membranes
+    <br>
+{: style="list-style-type: none;"}
+
+
diff --git a/.history/speakers_20240220215026.md b/.history/speakers_20240220215026.md
@@ -0,0 +1,119 @@
+---
+title: List of confirmed speakers
+---
+
+<style type="text/css">
+  .custom-list-style-type {
+    list-style-type: square;
+  }
+  .item_l1 {
+    font-size: 0.7em; 
+    line-height: 160%; 
+    border-radius: 0px; 
+    padding: 10px;
+    background-color: #6cc58d4d;
+    margin-bottom: 0px;
+    text-align: justify;
+  }
+
+  .item_l2 {
+    font-size: 0.7em; 
+    line-height: 160%; 
+    border-radius: 0px; 
+    padding: 10px;
+    background-color: #e8dddc;
+    margin-bottom: 0px;
+  }
+
+</style>
+
+- {:.item_l1} **Nong Artrith**  
+   *Debye Institute for Nanomaterials Science*  
+   ML & XAS for Amorphous Materials
+   <br> 
+- {:.item_l2} **Y	Z**  
+   *University of Michigan*  
+   Unusual Dynamics of Tetrahedral Liquids Caused by the Competition between Dynamic Heterogeneity and Structural Heterogeneity
+   <br>    
+- {:.item_l1} **Wissam Saidi**  
+   *NETL*  
+   Materials Modeling and Machine Learning
+   <br>
+- {:.item_l2} **Volker Deringer**      
+   *University of Oxford*     
+   Data-driven interatomic potentials for inorganic materials chemistry
+   <br>
+- {:.item_l1} **Mario Barbatti**    
+   *Aix Marseille University, CNRS, ICR*     
+   Machine Learning Nonadiabatic Dynamics
+   <br>
+- {:.item_l2} **Roberto Car**   
+  *Princeton University*  
+   Deep potential models for equilibrium and near equilibrium processes
+   <br>
+- {:.item_l1} **Pavlo Dral** 
+   *Xiamen University*     
+   From fast potentials for dynamics to learning dynamics
+   <br> 
+- {:.item_l2} **Olexandr Isayev**   
+   *Carnegie Mellon University*  
+   AIMNet2: Robust neural network potential for organic, element-organic
+   <br>
+- {:.item_l1} **Matthew Carbone**   
+   *Brookhaven National Laboratory*    
+   TBD
+   <br>
+- {:.item_l2} **Rebecca Lindsey**   
+    *University of Michigan*   
+    Explaining Performance of Physics-Informed Machine-Learned Interatomic Models
+    <br>
+- {:.item_l1} **Alexandre Tkatchenko**   
+    *University of Luxembourg*  
+    Navigating Chemical Compound Space with Machine Learning
+    <br>
+- {:.item_l2} **Reinhard Maurer**   
+    *University of Warwick*     
+    Machine learning of electronic structure for molecular design
+    <br>
+- {:.item_l1} **Zsuzsanna Koczor-Benda**    
+    *University of Warwick*    
+    Machine learning-based molecular design for plasmonic nanosystems
+    <br>
+- {:.item_l2} **Oleg Prezhdo**    
+    *University of Southern California*  
+    Nonadiabatic Molecular Dynamics with Machine Learning
+    <br>
+- {:.item_l1} **Julien Lam**   
+    *CNRS*      
+    Exploiting constrained linear models for machine-learning interaction potentials
+    <br>
+- {:.item_l2} **David Yaron**    
+    *Carnegie Mellon University*    
+    Quantum chemical Hamiltonians as flexible and interpretable model forms for machine learning
+    <br>
+- {:.item_l1} **Puck van Gerwen**   
+    *EPFL*  
+    EquiReact: Equivariant Neural Networks for Chemical Reactions
+    <br>
+- {:.item_l2} **Rohit Goswami**    
+    *University of Iceland*   
+    Throwaway Gaussian Processes for Saddle Searches
+    <br>
+- {:.item_l1} **Justin Smith**   
+    *NVIDIA*      
+    TBD
+    <br>
+- {:.item_l2} **Karel Berka**    
+    *Palacky University Olomouc*      
+    MolMeDB - free database of molecules on membranes
+- {:.item_l1} **Chiho Kim**    
+    *GeorgiaTech*      
+    TBD
+    <br>
+- {:.item_l2} **Karel Berka**    
+    *Westlake University*      
+    MolMeDB - free database of molecules on membranes
+    <br>
+{: style="list-style-type: none;"}
+
+