Alexander J. Norquist

Alexander J. Norquist

Haverford College

H-index: 36

North America-United States

About Alexander J. Norquist

Alexander J. Norquist, With an exceptional h-index of 36 and a recent h-index of 15 (since 2020), a distinguished researcher at Haverford College, specializes in the field of Solid state chemistry, materials chemistry, crystal growth.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Perspective on Machine Learning for Autonomous Experimentation

In pursuit of the exceptional: Research directions for machine learning in chemical and materials science

A Modern Twist on an Old Measurement: Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide

An open-source environmental chamber for materials-stability testing using an optical proxy

Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization

Active meta-learning for predicting and selecting perovskite crystallization experiments

A spatiotemporal route to understanding metal halide perovskite crystallization

Alexander J. Norquist Information

University

Position

Professor of Chemistry

Citations(all)

5165

Citations(since 2020)

2191

Cited By

3786

hIndex(all)

36

hIndex(since 2020)

15

i10Index(all)

75

i10Index(since 2020)

26

Email

University Profile Page

Haverford College

Google Scholar

View Google Scholar Profile

Alexander J. Norquist Skills & Research Interests

Solid state chemistry

materials chemistry

crystal growth

Top articles of Alexander J. Norquist

Title

Journal

Author(s)

Publication Date

A Perspective on Machine Learning for Autonomous Experimentation

Joshua Schrier

Alexander J Norquist

2023/12/14

In pursuit of the exceptional: Research directions for machine learning in chemical and materials science

Joshua Schrier

Alexander J Norquist

Tonio Buonassisi

Jakoah Brgoch

2023/9/27

A Modern Twist on an Old Measurement: Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide

Journal of Chemical Education

Alexander J Norquist

Gabriel Jones-Thomson

Keqing He

Thomas Egg

Joshua Schrier

2023/8/15

An open-source environmental chamber for materials-stability testing using an optical proxy

Digital Discovery

Rodolfo Keesey

Armi Tiihonen

Alexander E Siemenn

Thomas W Colburn

Shijing Sun

...

2023

Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

Venkateswaran Shekar

Vincent Yu

Benjamin J Garcia

David Benjamin Gordon

Gemma E Moran

...

2022/7/19

Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization

Chemistry of Materials

Mansoor Ani Najeeb Nellikkal

Rodolfo Keesey

Margaret Zeile

Venkateswaran Shekar

Zhi Li

...

2022/6/7

Active meta-learning for predicting and selecting perovskite crystallization experiments

The Journal of chemical physics

Venkateswaran Shekar

Gareth Nicholas

Mansoor Ani Najeeb

Margaret Zeile

Vincent Yu

...

2022/2/14

A spatiotemporal route to understanding metal halide perovskite crystallization

Mansoor Ani Najeeb

Rodolfo Keesey

Margaret Zeile

Venkateswaran Shekar

Zhi Li

...

2022/1/28

Dimensional control over metal halide perovskite crystallization guided by active learning

Chemistry of Materials

Zhi Li

Philip W Nega

Mansoor Ani Najeeb Nellikkal

Chaochao Dun

Matthias Zeller

...

2022/1/12

Principled exploration of bipyridine and terpyridine additives to promote methylammonium lead iodide perovskite crystallization

Crystal Growth & Design

Noor Titan Putri Hartono

Mansoor Ani Najeeb

Zhi Li

Philip W Nega

Clare A Fleming

...

2022/8/1

Predicting compositional changes of organic–inorganic hybrid materials with Augmented CycleGAN

Digital Discovery

Qianxiang Ai

Alexander J Norquist

Joshua Schrier

2022

Using automated serendipity to discover how trace water promotes and inhibits lead halide perovskite crystal formation

Applied Physics Letters

Philip W Nega

Zhi Li

Victor Ghosh

Janak Thapa

Shijing Sun

...

2021/7/26

Predicting inorganic dimensionality in templated metal oxides

The Journal of Chemical Physics

Qianxiang Ai

Davion Marquise Williams

Matthew Danielson

Liam G Spooner

Joshua A Engler

...

2021/5/14

Improving data and prediction quality of high-throughput perovskite synthesis with model fusion

Journal of chemical information and modeling

Yuanqing Tang

Zhi Li

Mansoor Ani Najeeb Nellikkal

Hamed Eramian

Emory M Chan

...

2021/4/2

The following article has been submitted to Applied Physics Letters. After it is published, it will be found at http://apl. aip. org

Philip Nega

Zhi Li

Victor Ghosh

Janak Thapa

Shijing Sun

...

2021

Polymorphism in the metal–organic hybrid (PhCH2NEt3) 2 [CoBr4]: Synthesis, crystal structures and physico-chemical characterizations

Inorganica Chimica Acta

Souad Dgachi

Mark M Turnbull

Francesco Mezzadri

Alexander J Norquist

Albert Soran

...

2021/1/1

Robot-accelerated perovskite investigation and discovery

Chemistry of Materials

Zhi Li

Mansoor Ani Najeeb

Liana Alves

Alyssa Z Sherman

Venkateswaran Shekar

...

2020/6/4

Can Machines “Learn” Halide Perovskite Crystal Formation without Accurate Physicochemical Features?

The Journal of Physical Chemistry C

Ian M Pendleton

Mary K Caucci

Michael Tynes

Aaron Dharna

Mansoor Ani Najeeb Nellikkal

...

2020/5/26

Machine-learning-assisted synthesis of polar racemates

Journal of the American Chemical Society

Matthew L Nisbet

Ian M Pendleton

Gene M Nolis

Kent J Griffith

Joshua Schrier

...

2020/4/1

Now is the time to curate your data: Use the shutdown as an opportunity

Alexander J Norquist

Joshua Schrier

2020

See List of Professors in Alexander J. Norquist University(Haverford College)