Physics, AI, and the future of discovery

Leaders from industry, government, and academia discuss the potential impact of AI on physics—including neutrinos, exoplanets, term papers, outreach, and workforce gaps—and of physics on AI.

Authors

Publication Details

Journal
Physics Today
Published
2024-10-25
DOI
https://doi.org/10.1063/pt.rlqh.ngld
Primary Topic
Neutrino Physics Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physics, AI, and the future of discovery

F. Cordova, J. J. Thaler, Valerie Browning, Walter Copan et al.
Physics Today
Neutrino Physics Research
article

Physics, AI, and the future of discovery

F. Cordova, J. J. Thaler, Valerie Browning, Walter Copan, Evgeni Gousev
article en

Abstract

Leaders from industry, government, and academia discuss the potential impact of AI on physics—including neutrinos, exoplanets, term papers, outreach, and workforce gaps—and of physics on AI.

Physics TodayVol. 77(11)
Openalex Percentile: Top 95%
Neutrino Physics Research
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Physics, AI, and the future of discovery — F. Cordova, J. J. Thaler, et al. · Physics Today (2024) | TGRS Research Map | TGRS