418 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Columbia UniversityUS83 papers
- Iowa State UniversityUS10 papers
- American Museum of Natural HistoryUS9 papers
- Xiamen UniversityCN8 papers
- Princeton UniversityUS7 papers
- City University of New YorkUS6 papers
- Tokyo Institute of TechnologyJP6 papers
- The Graduate Center, CUNYUS5 papers
- Beijing Computational Science Research CenterCN4 papers
- Beijing Normal UniversityCN4 papers
- California Institute of TechnologyUS4 papers
- Carnegie Institution for ScienceUS4 papers
7 papers · 1 filter
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazards
Shruti Nath, Julie Carreau, Kai Kornhuber +3
High-impact climate damages are often driven by compounding climate conditions. For example, elevated heat stress conditions can arise from a combination of high humidity and tempe…
Samudra: An AI Global Ocean Emulator for Climate
Surya Dheeshjith, Adam Subel, Alistair Adcroft +4
AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulat…
Abundance, Sizes, and Major Element Compositions of Components in CR and LL Chondrites: Formation from Single Reservoirs
Denton S. Ebel, Marina E. Gemma, Samuel P. Alpert +3
Abundances, apparent sizes, and individual chemical compositions of chondrules, refractory inclusions, other objects and surrounding matrix have been determined for Semarkona (LL3.…
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe, Benjamin Misiuk, Isaac Xu +26
Advances in underwater imaging enable collection of extensive seafloor image datasets necessary for monitoring important benthic ecosystems. The ability to collect seafloor imagery…
Evidence that Eddington ratio depends upon a supermassive black hole's mass and redshift: Implications for radiative efficiency
Yash Aggarwal
Presently, it is unclear whether the Eddington ratio and radiative efficiency depend upon a supermassive black hole's (SMBH's) redshift z and mass MBH. We attempt to resolve this i…
Melting Temperature of Iron Under the Earth's Inner Core Condition from Deep Machine Learning
Fulun Wu, Cai-Zhuang Wang, Kai-Ming Ho +3
Constraining the melting temperature of iron under Earth's inner core conditions is crucial for understanding core dynamics and planetary evolution. Here, we develop a deep potenti…
Deep-learning-based prediction of the tetragonalcubic transition in davemaoite
Fulun Wu, Yang Sun, Tianqi Wan +2
Davemaoite, i.e., perovskite (CaPv), is the third most abundant phase in the lower mantle and exhibits a tetragonal-cubic phase transition at high pressures and temperatu…