Shyue Ping Ong

== Career ==

== Career ==

Shyue Ping Ong received a Bachelor of Arts and Master of Engineering degree in Electrical and Information Science from the [[University of Cambridge]] in 1999, and a PhD in materials science and engineering from the [[Massachusetts Institute of Technology]] in 2011.{{Cite web |title=Shyue Ping Ong {{!}} Jacobs School of Engineering |url=https://jacobsschool.ucsd.edu/people/profile/shyue-ping-ong |access-date=2025-06-10 |website=jacobsschool.ucsd.edu}} In 2013, he joined the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering{{Cite web |title=Homepage {{!}} Department of NanoEngineering |url=https://cne.ucsd.edu/ |access-date=2025-06-22 |website=cne.ucsd.edu}} at the [[University of California, San Diego]] as an assistant professor. He was promoted to associate professor with tenure in 2017 and subsequently to full professor in 2021. He has published over 150 scientific papers{{Cite web |title=Shyue Ping Ong |url=https://scholar.google.com/citations?user=_NBjk50AAAAJ&hl=en |access-date=2025-06-10 |website=scholar.google.com}} in the fields of AI for materials science, materials software infrastructure, [[Lithium-ion battery|alkali-ion battery]] materials, [[solid-state lighting]] materials, and complex-concentrated (i.e., "[[High-entropy alloy|high-entropy]]") materials.

Shyue Ping Ong received a [[Bachelor of Arts]] and [[Master of Engineering]] degree in Electrical and Information Science from the [[University of Cambridge]] in 1999, and a PhD in materials science and engineering from the [[Massachusetts Institute of Technology]] in 2011.{{Cite web |title=Shyue Ping Ong {{!}} Jacobs School of Engineering |url=https://jacobsschool.ucsd.edu/people/profile/shyue-ping-ong |access-date=2025-06-10 |website=jacobsschool.ucsd.edu}} In 2013, he joined the Aiiso Yufeng Li Family Department of Chemical and Nano Engineering{{Cite web |title=Homepage {{!}} Department of NanoEngineering |url=https://cne.ucsd.edu/ |access-date=2025-06-22 |website=cne.ucsd.edu}} at the [[University of California, San Diego]] as an assistant professor. He was promoted to associate professor with tenure in 2017 and subsequently to full professor in 2021. He has published over 150 scientific papers{{Cite web |title=Shyue Ping Ong |url=https://scholar.google.com/citations?user=_NBjk50AAAAJ&hl=en |access-date=2025-06-10 |website=scholar.google.com}} in the fields of AI for materials science, materials software infrastructure, [[Lithium-ion battery|alkali-ion battery]] materials, [[solid-state lighting]] materials, and complex-concentrated (i.e., "[[High-entropy alloy|high-entropy]]") materials.

== Research ==

== Research ==

=== Solid-state lighting ===

=== Solid-state lighting ===

In 2018, Zhenbin Wang and Shyue Ping Ong discovered Sr₂LiAlO₄,{{Cite web |last=Diego |first=University of California-San |title=Computers aid discovery of new, inexpensive material to make LEDs with high color quality |url=https://phys.org/news/2018-02-aid-discovery-inexpensive-material-high.html#google_vignette |access-date=2025-05-14 |website=phys.org |language=en}} the first known Sr-Li-Al-O quaternary crystal, via data-driven structure prediction and high-throughput screening. Eu²⁺- and Ce³⁺-activated Sr₂LiAlO₄ are experimentally confirmed to be green-yellow and blue phosphors, respectively, with excellent thermal quenching resistance.{{Cite journal |last1=Wang |first1=Zhenbin |last2=Ha |first2=Jungmin |last3=Kim |first3=Yoon Hwa |last4=Im |first4=Won Bin |last5=McKittrick |first5=Joanna |last6=Ong |first6=Shyue Ping |date=May 2018 |title=Mining Unexplored Chemistries for Phosphors for High-Color-Quality White-Light-Emitting Diodes |journal=Joule |language=en |volume=2 |issue=5 |pages=914–926 |doi=10.1016/j.joule.2018.01.015|bibcode=2018Joule...2..914W |doi-access=free }}

In 2018, Zhenbin Wang and Shyue Ping Ong discovered Sr₂LiAlO₄,{{Cite web |last=Diego |first=University of California-San |title=Computers aid discovery of new, inexpensive material to make LEDs with high color quality |url=https://phys.org/news/2018-02-aid-discovery-inexpensive-material-high.html#google_vignette |access-date=2025-05-14 |website=phys.org |language=en}} the first known Sr-Li-Al-O quaternary crystal, via data-driven structure prediction and [[high-throughput screening]]. Eu²⁺- and Ce³⁺-activated Sr₂LiAlO₄ are experimentally confirmed to be green-yellow and blue phosphors, respectively, with excellent thermal quenching resistance.{{Cite journal |last1=Wang |first1=Zhenbin |last2=Ha |first2=Jungmin |last3=Kim |first3=Yoon Hwa |last4=Im |first4=Won Bin |last5=McKittrick |first5=Joanna |last6=Ong |first6=Shyue Ping |date=May 2018 |title=Mining Unexplored Chemistries for Phosphors for High-Color-Quality White-Light-Emitting Diodes |journal=Joule |language=en |volume=2 |issue=5 |pages=914–926 |doi=10.1016/j.joule.2018.01.015|bibcode=2018Joule...2..914W |doi-access=free }}

In 2020, Mahdi Amachraa and Shyue Ping Ong unified the crossover and thermal ionization theories of thermal quenching (TQ) in phosphors into a single predictive model. They showed that TQ under the crossover mechanism is related to the local environment stability of the activator, and a unified model can predict the experimental TQ in 29 known phosphors to within a root-mean-square error of ~3.1−7.6%.{{Cite journal |last1=Amachraa |first1=Mahdi |last2=Wang |first2=Zhenbin |last3=Chen |first3=Chi |last4=Hariyani |first4=Shruti |last5=Tang |first5=Hanmei |last6=Brgoch |first6=Jakoah |last7=Ong |first7=Shyue Ping |date=2020-07-28 |title=Predicting Thermal Quenching in Inorganic Phosphors |url=https://pubs.acs.org/doi/10.1021/acs.chemmater.0c02231 |journal=Chemistry of Materials |language=en |volume=32 |issue=14 |pages=6256–6265 |doi=10.1021/acs.chemmater.0c02231 |issn=0897-4756|url-access=subscription }}

In 2020, Mahdi Amachraa and Shyue Ping Ong unified the crossover and thermal ionization theories of thermal quenching (TQ) in phosphors into a single predictive model. They showed that TQ under the crossover mechanism is related to the local environment stability of the activator, and a unified model can predict the experimental TQ in 29 known phosphors to within a root-mean-square error of ~3.1−7.6%.{{Cite journal |last1=Amachraa |first1=Mahdi |last2=Wang |first2=Zhenbin |last3=Chen |first3=Chi |last4=Hariyani |first4=Shruti |last5=Tang |first5=Hanmei |last6=Brgoch |first6=Jakoah |last7=Ong |first7=Shyue Ping |date=2020-07-28 |title=Predicting Thermal Quenching in Inorganic Phosphors |url=https://pubs.acs.org/doi/10.1021/acs.chemmater.0c02231 |journal=Chemistry of Materials |language=en |volume=32 |issue=14 |pages=6256–6265 |doi=10.1021/acs.chemmater.0c02231 |issn=0897-4756|url-access=subscription }}