Invited talk at “Advances in Experimental and Simulation Methods for NMR and EPR”

screen-shot-2018-06-26-at-14-22-19-e1530019405791.png

It was honoured to be invited to the Annual BRSG meeting: Advances in experimental and simulation methods for NMR and EPR and to deliver a talk about my very recent work linking solid-state NMR and molecular dynamics simulations.

The annual meeting was dedicated to celebrating 50 years in NMR of Prof. Jim Emsley and Prof. Geoffrey Luckhurst. It was a pleasure to meet Jim and Geoffrey and to hear about their adventures in the work of magnetic resonance.

What do origins of life, oil extraction, and high surface materials have in common?

IMG_2628In a presentation, entitled “Computational Chemistry as a Time-Traveller’s Tool”, Valentina discusses how her molecular modeling techniques allow studying phenomena that occurred millions of years ago, that lead to the transition from geo- to biochemistry. She then demonstrates how the same methods, used to address fundamental questions, can also be applied to today’s problems of industrial interest, such as enhanced oil recovery and synthesis of high surface materials. All these processes are driven by interactions between organic molecules and layered materials under conditions difficult to reproduce through experiment alone.

 

 

 

Palatinate challenge

Screen Shot 2018-05-08 at 11.10.34.pngPalatinate (noun; British; origin mid-19th century) – a light purple or lavender colour, as used in certain ceremonial robes of the University and City of Durham, and later also in sporting outfits (Oxford English Dictionary)

RGB: 126, 49, 123
Hex: 7E317B

Please note, as of February 2019, Durham University has undergone rebranding, leading to a change of the palatinate colour for a darker purple (RGB: 104, 36, 109, Hex: 68246D). We do not identify this colour as palatinate.

Durham University Computational Chemistry Community has started a Palatinate Challenge – “Scientific articles to feature palatinate both as colour and a word”. 

Recent articles to satisfy the Challenge:

  1. Benoît Mignolet and Basile F. E. Curchod. “A Walk Through the Approximations of Ab Initio Multiple Spawning”, The Journal of Chemical Physics (2018).
  2. Matteo T Degiacomi, “On the Effect of Sphere-Overlap on Super Coarse-Grained Models of Protein Assemblies”, Journal of The American Society for Mass Spectrometry (2018).
  3. Kanittika Ruengkajorn, Valentina Erastova, Jean-Charles Buffet, H. Chris Greenwell, and Dermot O’Hare. “Aqueous immiscible layered double hydroxides: synthesis, characterisation and molecular dynamics simulation”, Chemical Communications (2018).
  4. B. F. E. Curchod, F. Agostini and I. Tavernelli, CT-MQC – A Coupled-Trajectory Mixed Quantum/Classical method including nonadiabatic quantum coherence effects”The European Physical Journal B (2018).
  5. F. Agostini and B. F. E. Curchod, When the Exact Factorization Meets Conical Intersections…”, The European Physical Journal B (2018).
  6. F. Agostini, E. K. U. Gross and B. F. E. Curchod, “Electron-Nuclear Entanglement in the Time-Dependent Molecular Wavefunction”Computational and Theoretical Chemistry (2019).
  7. Sandra Gómez,  Lea M. Ibele and Leticia González, “The 3s Rydberg state as a doorway state in the ultrafast dynamics of 1,1-difluoroethylene”, PCCP (2019).
  8. Benoit Mignolet and Basile F. E. Curchod, “Excited-State Molecular Dynamics Triggered by Light Pulses – Ab Initio Multiple Spawning vs Trajectory Surface Hopping, J Phys Chem A (2019).
  9. F. Agostini and B. F. E. Curchod, “Different flavors of nonadiabatic molecular dynamics”, Comput Mol Sci (2019).
  10. Matteo T Degiacomi, “Coupling Molecular Dynamics and Deep Learning to Mine Protein Conformational Space“, Structure (2019).
  11. Lucas S.P. Rudden and Matteo T. Degiacomi, Protein docking using a single representation for protein surface, electrostatics and local dynamics, JCTC (2019).

Paper on EOR published

Screen Shot 2018-01-04 at 17.36.29

 

Our work in collaboration with China University of Petroleum has been published in Energy & Fuels

See publication here

Screen Shot 2018-01-04 at 17.38.37
The adsorption of the 6-component oil mixture in a kaolinite pore (323 K, 100 bar): (a) Snapshot of the final frame of the simulation; (b) Mass density profiles across the pore; (c) Cross section snapshot showing the first adsorption layer on the aluminol surface; (d) Cross section snapshot showing the second adsorption layer on the aluminol surface; (e) Cross section snapshot showing the first adsorption layer on the silicate surface; (f) Cross section snapshot showing the second adsorption layer on the silicate surface.