Noah J. Wichrowski

Johns Hopkins University — United States

Materials Science · Physical Sciences

4h-index82citations7works15.02yr avg
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Research Topics

Machine Learning in Materials Science(3), Computational Drug Discovery Methods(2), Model Reduction and Neural Networks(2), Electrocatalysts for Energy Conversion(1), Protein Structure and Dynamics(1)

Publications7 total

Active learning of ternary alloy structures and energies
npj Computational Materials·2024· 15 citedOpen Access
Active Learning of Ternary Alloy Structures and Energies
2023· 4 citedOpen Access
Machine learning-assisted crystal engineering of a zeolite
Nature Communications·2023· 43 citedOpen Access
On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability
PNAS Nexus·2022· 13 citedOpen Access
On the Parameter Combinations That Matter and on Those That do Not
arXiv (Cornell University)·2021Open Access
An Overview of Drug Substance Manufacturing Processes
AAPS PharmSciTech·2020· 7 cited
Manifold learning for accelerating coarse-grained optimization
Journal of Computational Dynamics·2020Open Access

Frequent Co-authors

Ioannis G. Kevrekidis(6), Nikolaos Evangelou(5), Gaurav Deshmukh(2), Pushkar Ghanekar(2), Siddharth Deshpande(2), Jeffrey Greeley(2), George A. Kevrekidis(2), Felix Dietrich(2), Mahdi Kooshkbaghi(2), Sarah McFann(2), Xinyu Li(1), He Han(1), Peng Lü(1), Wenqian Xu(1), Son‐Jong Hwang(1), Wenyang Zhao(1), Chunshan Song(1), Xinwen Guo(1), Aditya Bhan(1), Michael Tsapatsis(1)