1.7k citations · 2k across the 7 of their papers we have counts for
8 papers
Observational constraints on net radiative forcing confirm aviation contrail warming
Aaron Sonabend-W, Scott Geraedts, Nita Goyal +3
Contrail cirrus represents a critical component of aviation's non-CO2 climate impact, but its net radiative forcing, the balance between longwave warming and shortwave cooling, rem…
Efficacy of Scalable Airline-led Contrail Avoidance
Tharun Sankar, Thomas Dean, Tristan Abbott +14
Contrails account for a large portion of aviation's contribution to anthropogenic climate change. Navigational contrail avoidance is a promising solution to mitigate the warming ca…
A scalable system to measure contrail formation on a per-flight basis
Scott Geraedts, Erica Brand, Thomas R. Dean +12
Persistent contrails make up a large fraction of aviation's contribution to global warming. We describe a scalable, automated detection and matching (ADM) system to determine from…
OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI
Joe Yue-Hei Ng, Kevin McCloskey, Jian Cui +6
Contrails (condensation trails) are line-shaped ice clouds caused by aircraft and are likely the largest contributor of aviation-induced climate change. Contrail avoidance is poten…
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System
Gowoon Cheon, Lusann Yang, Kevin McCloskey +2
Crystal structure search is a long-standing challenge in materials design. We present a dataset of more than 100,000 structural relaxations of potential battery anode materials fro…
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding
Kevin McCloskey, Eric A. Sigel, Steven Kearnes +16
DNA-encoded small molecule libraries (DELs) have enabled discovery of novel inhibitors for many distinct protein targets of therapeutic value through screening of libraries with up…
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry
Kevin McCloskey, Ankur Taly, Federico Monti +2
Deep neural networks have achieved state of the art accuracy at classifying molecules with respect to whether they bind to specific protein targets. A key breakthrough would occur…
Molecular Graph Convolutions: Moving Beyond Fingerprints
Steven Kearnes, Kevin McCloskey, Marc Berndl +2
Molecular "fingerprints" encoding structural information are the workhorse of cheminformatics and machine learning in drug discovery applications. However, fingerprint representati…