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Collaborative Computational Project in NMR Crystallography

Lead Research Organisation: Durham University
Department Name: Chemistry

Abstract

Solid-state nuclear magnetic resonance (NMR) is capable of providing extremely detailed insights into the structure and dynamics of a wide range of materials - from organic systems, such as pharmaceutical compounds and supramolecular arrays, to inorganic materials for next-generation batteries and safe storage of nuclear waste. Such information is crucial for harnessing the properties of increasingly complex new materials, and to address major challenges across the physical sciences. However, the true potential of this experimental technique is only realized through combination with advanced computational methods. In particular, first-principles electronic structure predictions of key NMR interactions, such as chemical shifts, allow experimental measurements to be directly linked to structure. In tackling challenging problems, the developing field of NMR crystallography benefits from close interaction with other experimental techniques, typically powder X-ray diffraction, and computational approaches, particularly crystal structure prediction. The Collaborative Computational Project for NMR Crystallography supports this multidisciplinary community of NMR spectroscopists, crystallographers, materials modellers and application scientists, who work both within academia and industry. We develop overarching software tools enabling a largely experimentally focused community to exploit advanced computational techniques.

Planned Impact

As detailed in the Pathways to Impact, we will use both our networking and industrial placement programme to develop and showcase effective use of CCP-NC tools and NMR crystallography techniques more widely, in both academia and industry. Most of the major companies for whom the solid state is critical, such as the pharmaceutical industry, or developers of catalysts (such as Johnson Matthey) have existing experience of solid-state NMR and will be able to benefit directly from a CCP-NC-supported researcher being seconded to the company. In other cases we will use our networking activities, in particular joint meetings with cognate disciplines, to widen exposure to the potential benefits of NMR crystallography. This will be backed up by showcasing different applications of NMR crystallography and CCP-NC tools through our website and social media.

A direct economic impact of this research is the potential for commercialisation of the outputs, particularly related to the developments in the CASTEP software. Dassault Systèmes / Biovia (www.3dsbiovia.com) provide a commercially supported version of CASTEP to industrial users, which is licensed from the UK-based CASTEP Developers Group (in addition to a global no-cost licence for academic users). Sales of the NMR-CASTEP program have now exceeded $3.5M, including to many international companies in the pharmaceutical and catalysis sectors.

An important aspect of the project is the training of post-graduate students and PDRAs, some of whom will go on to use these skills in industry (previous students and PDRAs with the Investigators are carrying out NMR work at companies such as GSK, Johnson Matthey and JEOL). The interdisciplinary nature of NMR crystallography, bringing together experimental techniques such as solid-state NMR and X-ray diffraction, and computational methods, means that these researchers will be well-placed to meet the challenges of developing new materials for a wide range of applications, e.g. energy storage, fuel cells and batteries, nuclear waste disposal, catalysts, and novel bioactive materials.

Publications

10 25 50
 
Description 2024 CoSeC CCP Bridging: Advanced and FAIR Computing for NMR Crystallography
Amount £271,162 (GBP)
Organisation Science and Technologies Facilities Council (STFC) 
Sector Public
Country United Kingdom
Start 11/2025 
End 10/2026
 
Title An NMR Crystallographic Characterisation of Solid (+)-Usnic Acid (dataset) 
Description Raw data underpinning the publication "An NMR Crystallographic Characterisation of Solid (+)-Usnic Acid" 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://research-portal.st-andrews.ac.uk/en/datasets/an-nmr-crystallographic-characterisation-of-sol...
 
Title CCDC 2314561: Experimental Crystal Structure Determination 
Description Related Article: Daniel M. Dawson, Jasmine A. Clayton, Thomas H. D. Marshall, Nathalie Guillou, Richard I. Walton, Sharon E. Ashbrook|2024|Chemical Science|15|4374|doi:10.1039/D3SC06924A 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2hph8z&sid=DataCite
 
Title CCDC 2333658: Experimental Crystal Structure Determination 
Description Related Article: Nuria González-Camuñas, Ángel Cantín, Daniel M. Dawson, Magdalena M. Lozinska, Joaquín Martínez-Triguero, James Mattock, Paul A. Cox, Sharon E. Ashbrook, Paul A. Wright, Fernando Rey|2024|J.Mater.Chem.A|12|15398|doi:10.1039/D4TA01132E 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2jbc9k&sid=DataCite
 
Title CCDC 2342368: Experimental Crystal Structure Determination 
Description Related Article: Jem Pitcairn, Mario Antonio Ongkiko, Andrea Iliceto, Peter J. Speakman, Stuart Calder, Malcolm J. Cochran, Joseph A. M. Paddison, Cheng Liu, Stephen P. Argent, Andrew J. Morris, Matthew J. Cliffe|2024|J.Am.Chem.Soc.|||doi:10.1021/jacs.4c04102 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2jmf8w&sid=DataCite
 
Title CCP-NC database of calculated NMR data 
Description A repository for the results of first-principles calculations of NMR parameters for solid materials. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact (just published) 
URL https://www.ccpnc.ac.uk/database/
 
Title CSD 2333657: Experimental Crystal Structure Determination 
Description Related Article: Nuria González-Camuñas, Ángel Cantín, Daniel M. Dawson, Magdalena M. Lozinska, Joaquín Martínez-Triguero, James Mattock, Paul A. Cox, Sharon E. Ashbrook, Paul A. Wright, Fernando Rey|2024|J.Mater.Chem.A|12|15398|doi:10.1039/D4TA01132E 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.25505/fiz.icsd.cc2jbc8j&sid=DataCite
 
Title Computational NMR Investigation of Mixed-Metal (Al,Sc)-MIL-53 and its Phase Transitions (dataset) 
Description  
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
URL https://research-portal.st-andrews.ac.uk/en/datasets/computational-nmr-investigation-of-mixed-metal-...
 
Title Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction" 
Description This dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations, bandstructures, phonon calculations, GIPAW-NMR calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador). Contents: "convergence_tests.zip": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system "phonons.zip": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram "polish.zip": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures. "searches.zip": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system. "bulk_modulus.zip" contains CASTEP output files for calculation of E(V) curves for low-lying KP phases with different xc-functionals. "nmr.zip" contains CASTEP output files for GIPAW-NMR calculations of chemical shifts for low-lying K-Sn-P phases. "spectral.zip" contains CASTEP and OptaDOS output files for projected bandstructure and DOS calculations of low-lying K-Sn-P phases. "digests.zip" contains JSON representations of all the structures from polish and searches, broken down into K-P and K-Sn-P specific digests. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/7429088
 
Title Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction" 
Description This dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations, bandstructures, phonon calculations, GIPAW-NMR calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador). Contents: "convergence_tests.zip": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system "phonons.zip": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram "polish.zip": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures. "searches.zip": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system. "bulk_modulus.zip" contains CASTEP output files for calculation of E(V) curves for low-lying KP phases with different xc-functionals. "nmr.zip" contains CASTEP output files for GIPAW-NMR calculations of chemical shifts for low-lying K-Sn-P phases. "spectral.zip" contains CASTEP and OptaDOS output files for projected bandstructure and DOS calculations of low-lying K-Sn-P phases. "digests.zip" contains JSON representations of all the structures from polish and searches, broken down into K-P and K-Sn-P specific digests. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/7042138
 
Title Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction" 
Description This draft dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations and phonon calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador). Contents: "convergence_tests_*/": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system "phonons_*/": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram "polish_*/": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures. "searches_*/": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/6555244
 
Title Research data supporting "Tin phosphide anodes for potassium-ion batteries: insights from crystal structure prediction" 
Description This draft dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations and phonon calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador). Contents: "convergence_tests_*/": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system "phonons_*/": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram "polish_*/": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures. "searches_*/": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL https://zenodo.org/record/6546650
 
Title Site-Directed Cation Ordering in Chabazite-Type AlxGa1-xPO4-34 Frameworks Revealed by NMR Crystallography (dataset) 
Description  
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://research-portal.st-andrews.ac.uk/en/datasets/sitedirected-cation-ordering-in-chabazitetype-a...
 
Title Synthesis of the Large Pore Aluminophosphate STA-1 and its Application as a Catalyst for the Beckmann Rearrangement of Cyclohexanone Oxime (dataset) 
Description  
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
URL https://research-portal.st-andrews.ac.uk/en/datasets/synthesis-of-the-large-pore-aluminophosphate-st...
 
Description Industrial Engagement of CCP-NC at GSK 
Organisation GlaxoSmithKline (GSK)
Department Research and Development GSK
Country United Kingdom 
Sector Private 
PI Contribution The team proposed different approaches to generate accurate structural models for validating the structural transformation due to the hydration/dehydration of active pharmaceutical ingredients. These methods involved using Density Functional Theory (DFT) and molecular dynamics calculations to obtain a precise structural model. This built on an earlier collaboration with Pfizer on essentially the same topic. The team benefitted from the valuable inputs from Prof. Steven Brown (University of Warwick).
Collaborator Contribution GSK provided sample systems of interest and a number of GSK colleagues were involved in providing guidance for the project direction.
Impact A detailed report was produced at the end of the project, which set out the different techniques applied and evaluated their strengths and weaknesses. This will assist GSK in follow up work.
Start Year 2024
 
Description Industrial Engagement of CCP-NC at Johnson Matthey 
Organisation Johnson Matthey
Country United Kingdom 
Sector Private 
PI Contribution The team utilized computational analyses to assign and validate experimental results (solid-state Nuclear Magnetic Resonance (ssNMR) spectroscopy) obtained at Johnson Matthey. Collaborating with Prof. Sharon Ashbrook from the University of St. Andrews, I provided scientific support to the team. Additionally, we developed a Python code to expedite the generation and modification of the structural framework of catalytic materials. This tool is now integrated into Johnson Matthey's computational modeling team's workflow, facilitating in-depth exploration of the structure-property relationship of catalytic materials. Research work carried out in this collaboration was presented at the Industrial Meeting for solid-state NMR experts held at Johnson Matthey and at a conference jointly organized by CCP-NC, CCP5, and CCP9.
Collaborator Contribution The synthesis and advanced characterization team at Johnson Matthey synthesized and performed solid-state characterized the catalytic materials, respectively. Johnson Matthey provided access to additional high-performance computing facilities along with the tools and software necessary for the computational analyses. Moreover, to foster collaboration and knowledge exchange, a member from our research team was hosted by Johnson Matthey's advanced characterisation team. We also received valuable inputs from the modeling team of the collaborators.
Impact No articles or patents published yet.
Start Year 2023
 
Description Industrial Engagement of CCP-NC at Pfizer 
Organisation Pfizer Inc
Department Pfizer Ltd
Country United Kingdom 
Sector Private 
PI Contribution The team proposed different approaches to generate accurate structural models for validating the structural transformation due to the hydration/dehydration of active pharmaceutical ingredients. These methods involved using Density Functional Theory (DFT) and molecular dynamics calculations to obtain a precise structural model. Although these methods showed good potential, they need more adjustments to be completely accurate. The team benefitted from the valuable inputs from Prof. Steven Brown (University of Warwick).
Collaborator Contribution Pfizer provided access to additional high-performance computing facilities along with the software necessary for computational analyses. A member of our research team was hosted by Pfizer to have hands-on experience in an industrial set-up. We also received insightful remarks from the other team members at Pfizer.
Impact No publications or patents published yet.
Start Year 2023
 
Title A toolbox for improving the workflow of NMR crystallography 
Description NMR crystallography is a powerful tool with applications in structural characterization and crystal structure verification, to name two. However, applying this tool presents several challenges, especially for industrial users, in terms of consistency, workflow, time consumption, and the requirement for a high level of understanding of experimental solid-state NMR and GIPAW-DFT calculations. Here, we have developed a series of fully parameterized scripts for use in Materials Studio and TopSpin, based on the .magres file format, with a focus on organic molecules (e.g. pharmaceuticals), improving efficiency, robustness, and workflow. We separate these tools into three major categories: performing the DFT calculations, extracting & visualizing the results, and crystallographic modelling. These scripts will rapidly submit fully parameterized CASTEP jobs, extract data from the calculations, assist in visualizing the results, and expedite the process of structural modelling. Accompanied with these tools is a description on their functionality, documentation on how to get started and use the scripts, and links to video tutorials for guiding new users. Through the use of these tools, we hope to facilitate NMR crystallography and to harmonize the process across users. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact The scripts developed in this project were done so in partnership with AstraZeneca and have been tailored therefore to expedite NMR crystallography within industry settings. Since publication, the scripts have been downloaded 63 times. 
URL https://doi.org/10.1016/j.ssnmr.2021.101761
 
Title MagresView 2.0 
Description NMR crystallography visualisation app 
Type Of Technology Webtool/Application 
Year Produced 2022 
Open Source License? Yes  
Impact It is too early to say how widely the new app will be used. The previous version of MagresView was very widely used within NMR crystallography and its successor MagresView2 is likely to be as popular if not more so. 
URL https://stur86.github.io/magresview-2/
 
Title Orgdisord 
Description Software to help study disordered molecular crystals. The code generates ensembles of ordered crystals that represent a molecular crystal with static disorder. 
Type Of Technology Software 
Year Produced 2023 
Open Source License? Yes  
Impact The software was used in a proof of principle study, the results of which were presented at the Taming Disorder in Solid Materials workshop in 2023 and at Computing Insight UK in 2024. There is an ongoing collaboration between the Cambridge Crystallographic Data Centre, the University of Southampton and the CCPNC to use this software. 
URL https://ccp-nc.github.io/orgdisord/
 
Title Support for advanced transition state search techniques in CASTEP 
Description Density functional theory (DFT) is a quantum mechanical simulation method that has become one of the most widely used research tools, with approximately 30,000 papers using it published each year. The CASTEP DFT code is a UK flagship code, specialised for solid materials, and is heavily used on ARCHER (300-400 active users). While support for obtaining the ground-state electronic and atomic configurations is now very good, computing transition states, reaction rates, and exploring free energy barriers with enhanced sampling were all still poorly supported in the CASTEP code before this eCSE was completed, despite their importance for a wide range of chemistry and materials science applications. In this eCSE project we have implemented two key new features in the CASTEP code to address these issues: (i) support for the extremely widely used (>12k citations) nudged elastic band (NEB) transition state search tool, augmented by a state-of-the-art robust optimizer; (ii) an interface to the i-PI universal force engine which allows CASTEP to be connected efficiently to a wide range of external codes with enhanced sampling capabilities. The new NEB implementation has also been parallelised so that it can be used efficiently on massively parallel computing centres, such as ARCHER2. We used a farm-based MPI parallelization approach where each image along the chain of states representing the reaction path runs on its own set of cores. The farms are loosely coupled, since they only need to exchange information at the end of each electronic minimisation. This leads to perfect weak scaling, validated on a 16-image system with up to 16 farms respectively. Our new code has been merged into the CASTEP development repository and will be included in the forthcoming 2022 release of the code, after which it will be widely available to ARCHER users. Key beneficients of the project include the CCP-NC, CCP9 and UKCP communities, where the new tools will aid in reconciling experimental observations with atomic-scale behaviour, helping to guide and interpret future experiments. 
Type Of Technology Software 
Year Produced 2022 
Impact The new functionality was included in the 2022 release of CASTEP, a very widely used density functional theory code. 
URL https://www.archer2.ac.uk/ecse/reports/eCSE02-04/
 
Title crystvis-js 
Description A Three.js based crystallographic visualisation tool. It reads multiple file formats and renders them with WebGL to a canvas element, allowing the user to interact with them. A few of the key functionality: * visualize popular file formats as ball-and-stick structures, easily embedded within a webpage, with orbit mouse control for rotation and zooming; * interactive visualisation responsive to user clicks via customizable callbacks; high definition text labels; * advanced searching and selection functions to interact with specific subset of atoms (select by proximity, bonding, species and more); * smart visualisation of molecular crystal: reconstruct full molecules across the periodic boundary; * compute and display isosurfaces from volumetric data; * visualize tensor data as ellipsoids centred on atoms. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact This library underlies the CCP-NC's main NMR visualisation tool: MagresView-2 
URL https://ccp-nc.github.io/crystvis-js/
 
Title dipolar_averages 
Description Van Vleck's classic theory of the second moment of lineshapes in 1H nuclear magnetic resonance (NMR) is reworked in a form that allows the effect of rapid molecular motion on second moments to be calculated in a semi-analytical fashion. This is much more efficient than existing approaches and also extends previous analyses of (non-dynamic) dipolar networks in terms of site-specific root-sum-square dipolar couplings. The non-local nature of the second moment means that it can discriminate between overall motions that are difficult to discriminate using alternative approaches, such as measurements of NMR relaxation. The value of reviving second moment studies is illustrated on the plastic solids diamantane and triamantane. In the case of triamantane, straightforward measurements of 1H lineshapes on milligram samples show that the molecules in the higher temperature phase undergo multi-axis jumps, information that is not accessible either to diffraction studies or to alternative NMR approaches. The efficiency of the computational methods means that the second moments can be calculated using a readily extensible and open-source Python code. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact The software has enabled new types of simulations such as those arising the in associate publication: Sturniolo, S., Wickins, H. M., & Hodgkinson, P. (2023). Revisiting the Van Vleck second moment for characterizing molecular motion in organic solids. The Journal of Chemical Physics, 158(24), https://doi.org/10.1063/5.0151022 
URL https://github.com/CCP-NC/dipolar_averages
 
Title pynics 
Description Python scripts for computing Nuclear Independent Chemical Shifts and buildup functions from Castep data. The chemical shift at which a nuclear environment appears in solid-state NMR is dependent not only on the local intramolecular interactions affecting that environment, but also on interactions with longer range features such as ring currents and hydrogen bonding. Utilising DFT GIPAW calculations, it is possible to partition the contributions of these different features to chemical shift. Further, it is possible to observe the spatial effects of these contributions, and the distance at which these contributions arise. These scripts facilitate computing such interactions. 
Type Of Technology Software 
Year Produced 2022 
Open Source License? Yes  
Impact Not aware of any, though this specialised code continues to be downloaded from both GitHub and PyPI (> 60 downloads). 
URL https://www.ccpnc.ac.uk/docs/nics
 
Description CCP-NC Website Refresh 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The CCP-NC website underwent a major refresh in the second half of 2021, updating outdated content and modifying the structure of the website to better showcase the breadth of work done by the CCP-NC. This refresh included, for example, updating user guides for various software and facility support the CCP-NC provides, as well as making the software and documentation easier to access. The updated website was presented to, and approved by, the Steering Group in November 2021.
Year(s) Of Engagement Activity 2021
URL https://www.ccpnc.ac.uk/
 
Description Case Studies for CCP-NC Website 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The first two (of an ongoing series of) computational NMR crystallography case studies were published on the CCP-NC website. The aim of these case studies is to showcase the breadth of research activities covered by the CCP-NC and to share some exciting examples of the potential of this growing field of research.
Year(s) Of Engagement Activity 2021,2022
URL https://www.ccpnc.ac.uk/research/case-studies
 
Description Faraday Discussion on NMR crystallography 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The meeting was held in Birmingham in early September 2024, bringing together 65 participants, including 28 international attendees and 7 from industry. Over the course of the event, 22 papers were discussed, with highly positive feedback and engaging discussions for each. A key theme that emerged was the growing importance of machine learning in the field, with many participants already integrating these methods into their work. There was strong interest in holding a similar meeting within the next 5-8 years.

A themed collection associated with this event has been published on the Royal Society of Chemistry's website: https://pubs.rsc.org/en/journals/articlecollectionlanding?sercode=fd&themeid=77b97ae1-b213-4ccc-9146-9ac01aeb7d82
Year(s) Of Engagement Activity 2024
URL https://pubs.rsc.org/en/journals/articlecollectionlanding?sercode=fd&themeid=77b97ae1-b213-4ccc-9146...
 
Description PSDI Webinar: CCP-NC Database 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Sathya Sai Seetharaman presented an overview of the CCP-NC's plans and progress on the second iteration of our Magres Database to the Physical Science Data Infrastructure (PSDI) initiative.
Year(s) Of Engagement Activity 2024
URL https://www.psdi.ac.uk/event/webinar-ccpnc-database/
 
Description Taming Disorder in Solid Materials 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact CCP-NC organised a joint meeting with CCP5 and CCP9, 'Taming Disorder in Solid Materials', in December 2023. The hybrid format worked well, with an approximately equal split between in-person attendees and the number online at any time. Although participation from CCP5 in particular was largely limited to the invited speakers, the feedback from participants was highly supportive of the programme format with constructive comments for improvements in future meetings.
Year(s) Of Engagement Activity 2023
URL https://disorder23.ccp5.ac.uk/