26 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.AI2025
AI Needs Physics More Than Physics Needs AI
Peter Coveney, Roger Highfield
Artificial intelligence (AI) is commonly depicted as transformative. Yet, after more than a decade of hype, its measurable impact remains modest outside a few high-profile scientif…
cs.DC2021★ 3 cited
Pandemic Drugs at Pandemic Speed: Infrastructure for Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers
Agastya P. Bhati, Shunzhou Wan, Dario Alfè +26
The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottle…
cs.CY2020★ 26 cited
When we can trust computers (and when we can't)
Peter V. Coveney, Roger R. Highfield
With the relentless rise of computer power, there is a widespread expectation that computers can solve the most pressing problems of science, and even more besides. We explore the…