MS list - Theory, computation, modelling, data |
|
Number |
Title |
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 |