Peter Schindler

Northeastern University — United States

Materials Science · Physical Sciences

19h-index831citations62works2.92yr avg
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Research Topics

Machine Learning in Materials Science(13), Electronic and Structural Properties of Oxides(12), Semiconductor materials and devices(11), Catalytic Processes in Materials Science(4), Lipid Membrane Structure and Behavior(4)

Publications62 total

Surface stability modeling with universal machine learning interatomic potentials: a comprehensive cleavage energy benchmarking study
AI for Science·2025· 2 citedOpen Access
MatFold: systematic insights into materials discovery models' performance through standardized cross-validation protocols
Digital Discovery·2024· 4 citedOpen Access
MatFold: Cross-validation Protocols to Systematically Evaluate Generalization Errors in Materials Discovery Models
2024Open Access
Author response for "MatFold: systematic insights into materials discovery models’ performance through standardized cross-validation protocols"
2024
MatFold: systematic insights into materials discovery models' performance through standardized cross-validation protocols
2024Open Access
MatFold: systematic insights into materials discovery models' performance through standardized cross-validation protocols
2024· 1 citedOpen Access
Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning (Adv. Funct. Mater. 19/2024)
Advanced Functional Materials·2024Open Access
Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning
Advanced Functional Materials·2024· 21 citedOpen Access
Work function and cleavage energy dataset of paper "Discovery of stable surfaces with extreme work functions by high-throughput density functional theory and machine learning"
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Revealing large room-temperature Nernst coefficients in 2D materials by first-principles modeling
Nanoscale·2024· 1 citedOpen Access
Work function and cleavage energy dataset of paper "Discovery of stable surfaces with extreme work functions by high-throughput density functional theory and machine learning"
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Revealing Large Room-Temperature Nernst Coefficients in 2D Materials by First-Principles Modeling
2023· 1 citedOpen Access
Electrolyte Coatings for High Adhesion Interfaces in Solid-State Batteries from First Principles
ACS Applied Materials & Interfaces·2023· 13 citedOpen Access
Electrolyte Coatings for High Adhesion Interfaces in Solid-state Batteries from First Principles
arXiv (Cornell University)·2023Open Access
Novel Ultrabright and Air‐Stable Photocathodes Discovered from Machine Learning and Density Functional Theory Driven Screening (Adv. Mater. 44/2021)
Advanced Materials·2021
Improving intrinsic oxygen reduction activity and stability: Atomic layer deposition preparation of platinum-titanium alloy catalysts
Applied Catalysis B: Environmental·2021· 22 citedOpen Access
Novel Ultrabright and Air‐Stable Photocathodes Discovered from Machine Learning and Density Functional Theory Driven Screening
Advanced Materials·2021· 20 citedOpen Access
Direct Integration of Strained‐Pt Catalysts into Proton‐Exchange‐Membrane Fuel Cells with Atomic Layer Deposition
Advanced Materials·2021· 22 citedOpen Access
Discovery of materials with extreme work functions by high-throughput density functional theory and machine learning
arXiv (Cornell University)·2020· 2 citedOpen Access
Discovery of stable surfaces with extreme work functions by high-throughput density functional theory and machine learning
arXiv (Cornell University)·2020· 2 citedOpen Access
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Frequent Co-authors

Fritz B. Prinz(15), J. Provine(8), Anup L. Dadlani(8), Evan J. Reed(8), Shicheng Xu(7), Evan R. Antoniuk(7), Jan Torgersen(6), Michael Teuber(5), Yongmin Kim(5), Shinjita Acharya(5), Joonsuk Park(4), P. Pianetta(4), Gowoon Cheon(4), Yanbing Zhu(4), Drew Higgins(3), Dickson Thian(3), Thomas D. Schladt(3), Marat Orazov(3), Thomas F. Jaramillo(3), Hyojin Kim(3)