Reference health
Accelerated Chemical Space Search Using a Quantum-Inspired Cluster Expansion Approach
35/35 checkable references clean · checked 2026-08-28
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
30 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 35 checked references that resolve
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Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods
resolves10.1021/acs.jpclett.1c01242
Optimization of High-Entropy Alloy Catalyst for Ammonia Decomposition and Ammonia Synthesis
resolves10.1021/acsami.0c11821
Discovery of Acid-Stable Oxygen Evolution Catalysts: High-Throughput Computational Screening of Equimolar Bimetallic Oxides
resolves10.1021/acs.jpcc.7b02221
High-Throughput Screening of Lead-Free Perovskite-like Materials for Optoelectronic Applications
resolves10.1016/j.matt.2021.02.015
Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
resolves10.1016/j.matt.2019.08.017
Inverse Design of Solid-State Materials via a Continuous Representation
resolves10.1021/acscentsci.7b00572
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
resolves10.1038/s42256-020-00271-1
Inverse design of nanoporous crystalline reticular materials with deep generative models
resolves10.1016/j.calphad.2008.12.005
Multicomponent multisublattice alloys, nonconfigurational entropy and other additions to the Alloy Theoretic Automated Toolkit
resolves10.1103/PhysRevB.57.6427
Cu-Au, Ag-Au, Cu-Ag, and Ni-Au intermetallics: First-principles study of temperature-composition phase diagrams and structures
resolves10.1016/j.tsf.2007.11.126
The effect of Cu reflow on the Pd–Cu–Ni ternary alloy membrane fabrication for infinite hydrogen separation
resolves10.1126/sciadv.aap8817
Surface-modulated palladium-nickel icosahedra as high-performance non-platinum oxygen reduction electrocatalysts
resolves10.1016/j.intermet.2014.09.006
First-principles investigation of the Cu–Ni, Cu–Pd, and Ni–Pd binary alloy systems
resolves10.1039/D0NR02410D
Fundamental understanding of the acidic oxygen evolution reaction: mechanism study and state-of-the-art catalysts
resolves10.1039/C9EE01202H
Recent progress made in the mechanism comprehension and design of electrocatalysts for alkaline water splitting
resolves10.1126/science.aaf5050
A highly active and stable IrO
<i>
<sub>x</sub>
</i>
/SrIrO
<sub>3</sub>
catalyst for the oxygen evolution reaction
resolves10.1038/s41467-018-07678-w
Efficient oxygen evolution electrocatalysis in acid by a perovskite with face-sharing IrO6 octahedral dimers
resolves10.1038/s41929-020-00525-6
High-valence metals improve oxygen evolution reaction performance by modulating 3d metal oxidation cycle energetics
resolves10.1002/cctc.201901411
Iridium‐Chromium Oxide Nanowires as Highly Performed OER Catalysts in Acidic Media
resolves10.1002/aenm.201600621
NiFe‐Based (Oxy)hydroxide Catalysts for Oxygen Evolution Reaction in Non‐Acidic Electrolytes
resolves10.1016/S0360-0564(02)45013-4
Theoretical surface science and catalysis—calculations and concepts
resolves10.1021/jacs.1c00384
Stabilizing Highly Active Ru Sites by Suppressing Lattice Oxygen Participation in Acidic Water Oxidation
resolves10.1103/PhysRevB.85.144105
Modeling configurational energetics on multiple lattices through extended cluster expansion
resolves10.1063/1.4812323
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
resolves10.1021/acs.chemmater.6b05027
Predicting Ground-State Configurations and Electronic Properties of the Thermoelectric Clathrates Ba<sub>8</sub>Al<sub><i>x</i></sub>Si<sub>46–<i>x</i></sub>and Sr<sub>8</sub>Al<sub><i>x</i></sub>Si<sub>46–<i>x</i></sub>
resolves10.1016/j.matt.2020.04.016
Crystal Site Feature Embedding Enables Exploration of Large Chemical Spaces
The 30 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checkedMachine learning for perovskite materials design and discovery
no DOI — not checkedref7
no DOI — not checkedComputational Screening of All Stoichiometric Inorganic Materials
no DOI — not checkedCrystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties
no DOI — not checkedGraph Networks as a Universal Machine Learning Framework for Molecules and Crystals
no DOI — not checkedDeveloping an improved crystal graph convolutional neural network framework for accelerated materials discovery
no DOI — not checkedUniversal fragment descriptors for predicting properties of inorganic crystals
no DOI — not checkedInverse design of porous materials using artificial neural networks
no DOI — not checkedGenerative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials
no DOI — not checkedref19
no DOI — not checkedref20
no DOI — not checkedref22
no DOI — not checkedref25
no DOI — not checkedMarket Graph Clustering Via QUBO and Digital Annealing
no DOI — not checkedDigitally Annealed Solution for the Maximum Clique Problem with Critical Application in Cellular V2X
no DOI — not checkedUsing genetic algorithms to map firstprinciples results to model Hamiltonians: Application to the generalized Ising model for alloys
no DOI — not checkedThe book is available either from the Amsterdam address or from
no DOI — not checkedPredicting activation energies for vacancy-mediated diffusion in alloys using a transition-state cluster expansion
no DOI — not checkedref35
no DOI — not checkedref36
no DOI — not checkedChromium-ruthenium oxide solid solution electrocatalyst for highly efficient oxygen evolution reaction in acidic media
no DOI — not checkedRecent Progress in Advanced Electrocatalyst Design for Acidic Oxygen Evolution Reaction
no DOI — not checkedref53
no DOI — not checkedProgress and Challenges Toward the Rational Design of Oxygen Electrocatalysts Based on a Descriptor Approach
no DOI — not checkedref61
no DOI — not checkedGeneralized gradient approximation made simple
no DOI — not checkedref63
no DOI — not checkedElements of Information Theory
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