Machine Learning Predicts Laboratory Earthquakes
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 641
- Type
- D - Journal article
- DOI
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10.1002/2017GL074677
- Title of journal
- Geophysical Research Letters
- Article number
- -
- First page
- 9276
- Volume
- 44
- Issue
- 18
- ISSN
- 0094-8276
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Machine learning used for the first time to predict when a laboratory earthquake occurs by analysing acoustic emissions preceding the earthquake. Gives one weeks warning of an earthquake instead of ten seconds. Led to Humphreys being awarded the Henry Clifton Sorby Award of ASM International (https://www.asminternational.org/web/fort-wayne-chapter/asm-industry-news/-/journal_content/56/10192/27126482/NEWS). First time awarded to a UK scientist for 16 years (https://www.asminternational.org/documents/17848952/20127472/SORBY+AWARD+PAST+RECIPIENTS+ONLY+%283%29.pdf/3ea17af0-9478-8089-7f2c-95ce5212630c). Humphreys gave the Henry Clifton Award Lecture at the Materials Science & Technology 2017 meeting in Pittsburgh on “From GaN LEDs to predicting earthquakes.”(3000 attendees). Received 95 pieces of media coverage worldwide including BBC World Service (31/10/2017), Reuters (https://www.reuters.com/article/us-global-quake-prediction/low-pitched-rumbling-rocks-could-help-predict-when-earthquakes-strike-research-says-idUSKBN1CS2UL) and https://globalnews.ca/news/3829450/earthquake-forecast-machine/.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -