Tom Gibbs
Nvidia (United States)(US)
Publications by Year
Research Areas
Scientific Computing and Data Management, Computational Drug Discovery Methods, Topic Modeling, COVID-19 epidemiological studies, Advanced Data Storage Technologies
Most-Cited Works
- → ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning(2021)2,089 cited
- → ProtTrans: Towards Cracking the Language of Life's Code Through\n Self-Supervised Deep Learning and High Performance Computing(2020)210 cited
- → AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics(2021)177 cited
- → #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol(2022)90 cited
- → Enabling real-time multi-messenger astrophysics discoveries with deep learning(2019)80 cited
- → 2022 Review of Data-Driven Plasma Science(2023)75 cited
- IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads(2021)