Nicholas Hine
@nickhine.bsky.social
Professor of Physics, University of Warwick. Large-scale electronic structure (LS-DFT), 2D materials, theoretical spectroscopy, developer of ONETEP and ESTEEM.
Proud Supervisor moment: Anas Siddiqui successfully defended his PhD thesis today: "Machine-Learned Interatomic
Potentials for Two-Dimensional Transition Metal Dichalcogenides and their Heterostructures"! Many thanks to Ioan-Bogdan Magdau and Albert Bartok-Partay as examiners.
Potentials for Two-Dimensional Transition Metal Dichalcogenides and their Heterostructures"! Many thanks to Ioan-Bogdan Magdau and Albert Bartok-Partay as examiners.
November 18, 2025 at 2:58 PM
Proud Supervisor moment: Anas Siddiqui successfully defended his PhD thesis today: "Machine-Learned Interatomic
Potentials for Two-Dimensional Transition Metal Dichalcogenides and their Heterostructures"! Many thanks to Ioan-Bogdan Magdau and Albert Bartok-Partay as examiners.
Potentials for Two-Dimensional Transition Metal Dichalcogenides and their Heterostructures"! Many thanks to Ioan-Bogdan Magdau and Albert Bartok-Partay as examiners.
Reposted by Nicholas Hine
One time I spent five minutes at lunch drawing a reverse centaur and it became one of my most retweeted pieces of art. I resented that so I deleted it but now it can be free again because not enough people follow me on here for it to go big
April 28, 2023 at 2:34 PM
One time I spent five minutes at lunch drawing a reverse centaur and it became one of my most retweeted pieces of art. I resented that so I deleted it but now it can be free again because not enough people follow me on here for it to go big
Reposted by Nicholas Hine
Academics in Assyria in the 7th c BC complain that admin is preventing them from doing research and teaching
November 3, 2025 at 10:04 AM
Academics in Assyria in the 7th c BC complain that admin is preventing them from doing research and teaching
New paper! Anas Siddiqui has done fantastic work training Machine Learned Interatomic Potentials for the whole Transition Metal Dichalcogenide family, and used them to study domain reconstruction with vdW-DF level accuracy, in twisted homo- and hetero-bilayers.
iopscience.iop.org/article/10.1...
iopscience.iop.org/article/10.1...
September 24, 2025 at 8:01 AM
New paper! Anas Siddiqui has done fantastic work training Machine Learned Interatomic Potentials for the whole Transition Metal Dichalcogenide family, and used them to study domain reconstruction with vdW-DF level accuracy, in twisted homo- and hetero-bilayers.
iopscience.iop.org/article/10.1...
iopscience.iop.org/article/10.1...
For the second time in 3 years my birthday has fallen during the Psi-K conference #psik2025 - awesome place to celebrate it actually! Great talks and great community - and a morning swim in Lac Leman
August 25, 2025 at 9:35 PM
For the second time in 3 years my birthday has fallen during the Psi-K conference #psik2025 - awesome place to celebrate it actually! Great talks and great community - and a morning swim in Lac Leman
Reposted by Nicholas Hine
I know a guy who
alloys steel
He makes it stronger
a harder feel
He don't use carbon
or molyb'
He don't use nickel
or any of these
He uses manganese
alloys steel
He makes it stronger
a harder feel
He don't use carbon
or molyb'
He don't use nickel
or any of these
He uses manganese
July 16, 2025 at 4:40 PM
I know a guy who
alloys steel
He makes it stronger
a harder feel
He don't use carbon
or molyb'
He don't use nickel
or any of these
He uses manganese
alloys steel
He makes it stronger
a harder feel
He don't use carbon
or molyb'
He don't use nickel
or any of these
He uses manganese
Reposted by Nicholas Hine
Seems crazy to change the format at this late stage though.
Probably for the best. You don't want to be running around outdoors in this heat.
July 12, 2025 at 10:09 AM
Seems crazy to change the format at this late stage though.
Reposted by Nicholas Hine
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. www.microsoft.com/en-us/resear...
June 18, 2025 at 10:08 AM
Microsoft researchers achieved a breakthrough in the accuracy of DFT, a method for predicting the properties of molecules and materials, by using deep learning. This work can lead to better batteries, green fertilizers, precision drug discovery, and more. www.microsoft.com/en-us/resear...
I am at the #APSMarch meeting in Anaheim, California this week. Looking forward to lots of exciting talks on ML for materials science! Giving a talk myself on Thursday at 12:06in 263B!
March 17, 2025 at 3:20 PM
I am at the #APSMarch meeting in Anaheim, California this week. Looking forward to lots of exciting talks on ML for materials science! Giving a talk myself on Thursday at 12:06in 263B!
Reposted by Nicholas Hine
A standing ovation for federal workers by the thousands of physicists who are meeting in Anaheim this week, supporting their colleagues in science agencies who couldn’t afford—or weren’t allowed—to come. Sorry, no pictures, in part out of green-card holders’ fears. #APSGlobalSummit2025 #APSMarch
March 17, 2025 at 2:32 AM
A standing ovation for federal workers by the thousands of physicists who are meeting in Anaheim this week, supporting their colleagues in science agencies who couldn’t afford—or weren’t allowed—to come. Sorry, no pictures, in part out of green-card holders’ fears. #APSGlobalSummit2025 #APSMarch
I have been a silent observer on bsky.app so far but happy to self-introduce on here by sharing news of a new paper with Anas Siddiqui. In Phys. Rev. Mater 9, 014004 we train an MLIP and a continuum model InSe and investigate Moire reconstructions with twist angle:
journals.aps.org/prmaterials/...
journals.aps.org/prmaterials/...
Strong atomic reconstruction in twisted bilayers of highly flexible InSe: Machine-learned interatomic potential and continuum model approaches
The relaxation of atomic positions to their optimal structural arrangement is crucial for understanding the emergence of new physical behavior in long scale superstructures in twisted bilayers of two-...
doi.org
January 15, 2025 at 5:00 PM
I have been a silent observer on bsky.app so far but happy to self-introduce on here by sharing news of a new paper with Anas Siddiqui. In Phys. Rev. Mater 9, 014004 we train an MLIP and a continuum model InSe and investigate Moire reconstructions with twist angle:
journals.aps.org/prmaterials/...
journals.aps.org/prmaterials/...