Posts in category Quantum Monte Carlo

Andrea’s and Gerit’s paper published in the PNAS

Andrea’s and Gerit’s paper has been published in the Proceedings of the National Academy of Sciences of the United States of America. The work had important contributions also from Jiří, a previous member of the ICE group, and from Dario and Alexandre, longstanding Angelos’ collaborators.

In the paper we study molecular crystals with quantum Monte Carlo.

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Computational approaches based on the fundamental laws of quantum mechanics are now integral to almost all materials design initiatives in academia and industry. If computational materials science is genuinely going to deliver on its promises, then an electronic structure method with consistently high accuracy is urgently needed. We show that, thanks to recent algorithmic advances and the strategy developed in our manuscript, quantum Monte Carlo yields extremely accurate predictions for the lattice energies of materials at a surprisingly modest computational cost. It is thus no longer a technique that requires a world-leading computational facility to obtain meaningful results. While we focus on molecular crystals, the significance of our findings extends to all classes of materials.

Boosting the accuracy and speed of quantum Monte Carlo: Andrea’s paper published in PRB

Andrea and Dario’s paper on the methodological improvement of the diffusion quantum Monte Carlo algorithm is finally published in Phys. Rev. B. In this work, involving also Sandro Sorella and Michael J. Gillan, we make the method up to one hundred times faster, by modifying only one line of the CASINO code. We also solve an outstanding issue of diffusion Monte Carlo, related to size-consistency, that was hampering its accuracy in many practical calculations.
It is now possible to study a whole variety of systems, including calculating interaction energies between molecules or between molecules and surfaces, or investigate the relative stability of different crystal polymorphs, with unprecedented accuracy and at a much lower computational cost.
The new method extends the range of the size of the systems that it is now possible to simulate, opening new avenues to the study of previously unaccessible problems in Nanotechnology and Material Sciences.

News

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Nature Reviews Chemistry on surface premelting of water ice published!

In a recently published Nature Reviews Chemistry article, titled “Surface premelting of water ice”, Ben Slater and Angelos review the current understanding of the quasi-liquid layer (QLL) that forms on the surface of ice. The review describes how advances in experimental and computational techniques furthered our understanding in the years since Faraday first postulated the […]

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Angelos is trying to set a new world record!

Angelos will be running this year’s London Marathon with the aim of setting a new world record for the “fastest marathon dressed as a scientist (male)”. He is running in support of WaterAid, an international charity working to provide clean water and decent toilets to people all over the world. To find out more and […]

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Patrick wins Best Poster prize at the TYC Student Day!

For his contribution “A Machine Learning Potential for Carbon”, Patrick was awarded a Best Poster prize at this year’s TYC Student Day! He was one of the four winners chosen from more than 30 poster presentations, which highlighted the excellent research conducted within the Thomas Young Centre. Patrick had also won the Best Poster prize […]

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INCITE grant awarded for quantum Monte Carlo project!

The proposal titled “New Frontiers for Material Modeling via Machine Learning Techniques with Quantum Monte Carlo” was awarded a 2019 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) grant by the U.S. Department of Energy’s Office of Science. The project lead by Dario Alfè and in collaboration with Gábor Csányi in Cambridge involves […]

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Welcome new ICE group members!

We are happy to welcome some new people who joined the group over the last few weeks. Tai is doing a postdoc in a joint UCL – BP project. Fabian is sharing his PhD time between UCL and Imperial College. Michael already did his Master project in our group and is now continuing his work […]

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Martin finished his viva!

Congratulations to Martin, who finished his viva last week! His work focused on ice nucleation, in particular on finding descriptors that indicate good ice nucleating agents and the role of dynamical heterogeneity in homogeneous ice nucleation.

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The ICE group survived Hever!

Yesterday morning’s adverse weather conditions (to put it mildly) made the triathlon even more challenging. The swimmers had to cope with very cold water, the hilly bike track was dangerously slippery and the running track was mostly covered in mud. Undeterred, both teams completed the triathlon – soaking wet (even the ones that didn’t swim!) […]

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Single-atom alloy Perspective made it onto the JPCL cover!

The next issue of The Journal of Physical Chemistry Letters will feature cover art from the perspective article ‘Lonely Atoms with Special Gifts: Breaking Linear Scaling Relationships in Heterogeneous Catalysis with Single-Atom Alloys’ by Matthew T. Darby, Michail Stamatakis, Angelos Michaelides, and E. Charles H. Sykes. The cover depicts the atomic structure of a so-called […]

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The ICE group is Triathlon-ing for WaterAid again!

After last year’s phenomenal victory, the ICE group is participating for the second time in the Hever Castle Triathlon. This year, there will be two relay teams: Phil, Gabriele, and Angelos will compete again in the half-ironman, while Andrea, his wife Sara, and Patrick will compete over the Olympic distance. The ICE group is not only trying […]

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Open Postdoc position

A position for a Research Associate in Computational Catalysis is now open. The project about methane activation at single atom alloys involves collaboration with Dr Michail Stamatakis and Prof. Charlie Sykes. To find out more or to apply, click here.

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Group gatherings