1.3k citations
- Lawrence Berkeley National LaboratoryUS185 papers
- University of California, BerkeleyUS86 papers
- Kavli Energy NanoScience InstituteUS35 papers
- Advanced Light Source12 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Columbia UniversityUS8 papers
- Weizmann Institute of ScienceIL8 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
- Foundry (United Kingdom)GB6 papers
- National Institute for Materials ScienceJP6 papers
- Technical University of MunichDE6 papers
- University of PennsylvaniaUS6 papers
35 papers · 1 filter
Ultrafast dynamics of excited electronic states in nitrobenzene measured by ultrafast transient polarization spectroscopy
Richard Thurston, Matthew M. Brister, Liang Z. Tan +7
We investigate ultrafast dynamics of the lowest singlet excited electronic state in liquid nitrobenzene using Ultrafast Transient Polarization Spectroscopy (UTPS), extending the we…
Fermi-crossing Type-II Dirac fermions and topological surface states in NiTe2
Saumya Mukherjee, Sung Won Jung, Sophie F. Weber +9
Transition-metal dichalcogenides (TMDs) offer an ideal platform to experimentally realize Dirac fermions. However, typically these exotic quasiparticles are located far away from t…
Verification of Short-Range Order and Its Impact on the Properties of the CrCoNi Medium Entropy Alloy
Ruopeng Zhang, Shiteng Zhao, Jun Ding +6
Traditional metallic alloys are mixtures of elements where the atoms of minority species tend to distribute randomly if they are below their solubility limit, or lead to the format…
Visualization of the flat electronic band in twisted bilayer graphene near the magic angle twist
M. Iqbal Bakti Utama, Roland J. Koch, Kyunghoon Lee +15
Bilayer graphene was theorized to host a moire miniband with flat dispersion if the layers are stacked at specific twist angles known as the magic angles. Recently, such twisted bi…
Learning to grow: control of material self-assembly using evolutionary reinforcement learning
Stephen Whitelam, Isaac Tamblyn
We show that neural networks trained by evolutionary reinforcement learning can enact efficient molecular self-assembly protocols. Presented with molecular simulation trajectories,…
Proton Irradiation-Decelerated Intergranular Corrosion of Ni-Cr Alloys in Molten Salt
Weiyue Zhou, Yang Yang, Guiqiu Zheng +4
The effects of ionizing radiation on materials often reduce to "bad news." Radiation damage usually leads to detrimental effects such as embrittlement, accelerated creep, phase ins…