Publication in Nature Comm
Our collaborative work on Breakdown of the scaling relation of anomalous Hall effect in Kondo lattice ferromagnet USbTe just came online in Nature Communicat...
Our collaborative work on Breakdown of the scaling relation of anomalous Hall effect in Kondo lattice ferromagnet USbTe just came online in Nature Communicat...
Our recent work on the Spin–Spin Interaction in ε-VOPO4 through Doping Light Elements was published today in J. Phys. Chem. C.
Our recent work on the Size-Dependent Nucleation in Crystal Phase Transition from Machine Learning Metadynamics was recently highlighted by Nature Materials ...
Our recent work on the simulation of GaN’s phase transition and machine learning metadynamics was published today in Physical Review Letter. It was also fea...
Our recent work on the classification of organic crytals was published today in Crystal Growth and Design.
Our recent work on the symmetry relation database was published today in MRS Communications.
Our recent work on the Organic crytals was published today in Journal of Materials Research as an Invited Feature Paper-Review.
Our work on Modeling surface spin polarization on ceria-supported Pt nanoparticles just came online in J. Phys. Conden. Matter.
Our work on high throughput screening of 2D electrides just came online in PRB
Our work on high throughput screening of topological phononic materials just came online in Nature Communication
Our recent work on silicon with bispectrum neural network potential was published today in the Journal of Chemical Physics. This is Howard Yonxon’s first pap...
Our recent work on spectral neural networks potential was published today in the Journal of Applied Physics. This is David Zagaceta’s first paper as the prim...
Happy Children’s Day! Another important work of ours was just submitted to the arXiv.
Our recent work on the graphite-diamond transition was published today in Matter.
Our recent work on the graphite-diamond transition was published today in Matter.
We are glad to announce that the Zhu Group has moved to the Department of Mechanical Engineering and Energy Science (MEES) of University of North Carolina at...
Byungkyun Kang left our group to join University of Delaware as a computer scientist. Congrats!
Danilo Arturo Rodriguez and Kalhara Perera are entering the graduate program under the supervision of Zhu in Fall 2022.
Howard Yanxon left our group to join ANL as a postdoc. Congrats!
Pedro Santos joined our group as a postdoc. David Zagaceta and Kevin Parrish are entering the graduate program under the supervision of Zhu in Fall 2021.
Dr. Byung Kyun Kang joined our group as the research assistant professor.
Howard Yanxon successfully completed his PhD. He is the first PhD student from the Zhu’s group!
The PyXtal paper come online now.
We are happy to release the first topological phonon database with over 5000 material entries.
PyXtal_FF 0.1.0 is available via pip instal pyxtal_FF.
PyXtal 0.0.6 is available via pip instal pyxtal.
PyXtal 0.0.3 is available via pip instal pyxtal. Note this is a pre-release version. The official release will follow soon.
PyXtal 0.0.1 is available via pip instal pyxtal. Note this is a pre-release version. The official release will follow soon.
Oiang Zhu was recently interviewed by UNLV for his recent awards. The full story is available online
Oiang Zhu will be promoted to the Assoicate Professor with Tenure on July 1, 2022. Congrats!
Professor Oiang Zhu received the prestigious Barrick Scholar award. It is the designed to recognize UNLV faculty members who have established a record of dis...
Professor Oiang Zhu has been honored by the NSF with a Faculty Early Career Development Program for his resarch in Organic Materials Discovery with the Aid o...
Professor Oiang Zhu received the DOE’s Early Career Award for his resarch in Data-driven Discovery of Inorganic Electrides for Energy Applications.
Professor Oiang Zhu gave an invited seminar on Computational Materials Design at the University of Louisiana at Lafayette.
Professor Oiang Zhu attended the 2022 TMS annual meeting at Anaheim, CA and gave a talk on Machine learning force field and its application to high entropy a...
I am planning to teach a virtual course on numerical optimization in the Julia language, completely open to anyone interested.