Joshua Schrier

Fordham University

United States

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Articles (21)

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2025

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2025

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2025

In this editorial we set expectations and requirements for submissions describing discovery-enabling hardware.

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (6)

Michael Taylor

University of Pittsburgh

UNITED STATES

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Sarah Maurer

Central Connecticut State University

UNITED STATES

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John Kitchin

Professor

Carnegie Mellon University

UNITED STATES

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Sergei Kalinin

Weston Fulton Chair Professor

University of Tennessee

UNITED STATES

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Cory Simon

Assistant Professor

Oregon State University

UNITED STATES

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Alexander J. Norquist

Haverford College

UNITED STATES

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Joshua Schrier

Research Interests

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Articles (21)

Science acceleration and accessibility with self-driving labs

Creation of the Separation Archive for Elements (SAFE) Database

Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation

Commit: Mini article for dynamic reporting of incremental improvements to previous scholarly work

Guidelines for hardware-focused articles

Advancing Rare-Earth (4f) and Actinide (5f) Separation through Machine Learning and Automated High-Throughput Experiments

Large Language Models for Inorganic Synthesis Predictions

Active Learning of Ligands That Enhance Perovskite Nanocrystal Luminescence

Comment on “Comparing the Performance of College Chemistry Students with ChatGPT for Calculations Involving Acids and Bases”

Guidelines for hardware-focused articles

Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

Data-Driven Imputation of Miscibility of Aqueous Solutions via Graph-Regularized Logistic Matrix Factorization

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

Comment on “Environmental Stability of Crystals: A Greedy Screening”

Structure and charge analysis of a cyclic aluminium hydride: cyclo-1,5-bis-μ-dimethylamino-3,7-di-μ-hydrido-2,4,6,8-tetrakis(dimethylaluminium)

Collaborative methods to enhance reproducibility and accelerate discovery

Spatiotemporal Route to Understanding Metal Halide Perovskitoid Crystallization

Principled Exploration of Bipyridine and Terpyridine Additives to Promote Methylammonium Lead Iodide Perovskite Crystallization

Autonomous (AI-driven) materials science

The case for data science in experimental chemistry: examples and recommendations

Dimensional Control over Metal Halide Perovskite Crystallization Guided by Active Learning

Collaborators (6)

Michael Taylor

Sarah Maurer

John Kitchin

Sergei Kalinin

Cory Simon

Alexander J. Norquist

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