MS list - Theory, computation, modelling, data



Proposed by

Supported by

1 Advanced methods for analysis of XAFS and crystallographic data CXAFS CommDat
2 High troughput vs. careful planning: How to get the best data? CCC CSynr CommDat
3 Machine learning in biological and structural sciences  CCC CBM CCT
4 Handling of big data in crystallography CCC CSynr CommDat
5 Structural bioinformatics CCC CBM
6 Fragment screening - 1 project, 100 datasets CBM CQC CSynr CommDat
7 Quantum crystallography challenges and newest accomplishments CQC CAC
8 Automation in protein crystallography: tools, persepectives and applications CCC CBM
9 Methods and software developments for magnetic-structure analysis CMS CAC CCC CNS
10 Beyond pure point diffraction: Theory and application of diffuse scattering CMTC CAC CQC
11 Generalizations of crystallographic groups and their applications CMTC CQC
12 Pre and post publication peer review of crystallographic data CommDat CAC CBM
13 Crystal structure prediction CCM CCC
14 Quantum crystallography in materials science CQC CAC
15 Quantum crystallographic studies on intra/inter-molecular interactions CQC CSC
16 Structure, modeling and properties of quasi crystals CAC  
17 Data-driven discovery in crystallography CCC CCC CCM CIMS CommDat
18 Large scale facilities for quantum crystallography research CQC  
  Special sessions    
19 Online crystallography: Tools, apps and web services CCC  
20 Exemplary practice in chemical, biological and materials database archiving CommDat CBM
21 Introduction to machine learning CCC CBM CCT