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DOIs for this ISSN

Showing the top 5 of 2233 DOIs, ordered by correction priority.

#	Title	Missing	Priority	Citations
1	Computational approaches to substrate-based cell motility (10.1038/npjcompumats.2016.19)	Abstract ORCID	97.22	87
2	Construction of a knowledge graph for framework material ena… (10.1038/s41524-025-01540-6)	Abstract ORCID	84.51	48
3	The ReaxFF reactive force-field: development, applications a… (10.1038/npjcompumats.2015.11)	ORCID	83.02	2093
4	Design and discovery of materials guided by theory and compu… (10.1038/npjcompumats.2015.7)	Abstract ORCID	80.64	40
5	Machine learning in materials informatics: recent applicatio… (10.1038/s41524-017-0056-5)	ORCID	80.17	1609
6	EMFF-2025: a general neural network potential for energetic… (10.1038/s41524-025-01809-w)	Abstract ORCID	79.55	38
7	Identifying MOFs for electrochemical energy storage via dens… (10.1038/s41524-025-01590-w)	Abstract ORCID	78.41	36
8	High throughput computational screening and interpretable ma… (10.1038/s41524-025-01617-2)	Abstract ORCID	72.36	27
9	Materials design with target-oriented Bayesian optimization (10.1038/s41524-025-01704-4)	Abstract ORCID	70.75	25
10	A strategy to apply machine learning to small datasets in ma… (10.1038/s41524-018-0081-z)	ORCID	70.68	671
11	Plasmon-enhanced light–matter interactions and applications (10.1038/s41524-019-0184-1)	ORCID	70.39	653
12	Erratum: Computational understanding of Li-ion batteries (10.1038/npjcompumats.2016.10)	References ORCID	69.01	23
13	Machine learning for phase prediction of high entropy carbid… (10.1038/s41524-025-01873-2)	Abstract ORCID	69.01	23
14	On the tuning of electrical and thermal transport in thermoe… (10.1038/npjcompumats.2015.15)	ORCID	68.00	524
15	Design of BCC/FCC dual-solid solution refractory high-entrop… (10.1038/s41524-025-01597-3)	Abstract ORCID	66.11	20
16	NEP-MB-pol: a unified machine-learned framework for fast and… (10.1038/s41524-025-01777-1)	Abstract ORCID	66.11	20
17	Capturing short-range order in high-entropy alloys with mach… (10.1038/s41524-025-01722-2)	Abstract ORCID	63.94	18
18	Autonomy in materials research: a case study in carbon nanot… (10.1038/npjcompumats.2016.31)	ORCID	63.09	333
19	Uncovering electron scattering mechanisms in NiFeCoCrMn deri… (10.1038/s41524-018-0138-z)	ORCID	61.96	300
20	An informatics framework for the design of sustainable, chem… (10.1038/s41524-025-01683-6)	Abstract ORCID	61.52	16
21	High entropy powering green energy: hydrogen, batteries, ele… (10.1038/s41524-025-01594-6)	Abstract ORCID	60.21	15
22	Unlocking the black box beyond Bayesian global optimization… (10.1038/s41524-025-01639-w)	Abstract ORCID	60.21	15
23	Novel machine learning driven design strategy for high stren… (10.1038/s41524-025-01666-7)	Abstract ORCID	60.21	15
24	Predicting practical reduction potential of electrolyte solv… (10.1038/s41524-025-01582-w)	Abstract ORCID	58.80	14
25	Crystal-like thermal transport in amorphous carbon (10.1038/s41524-025-01625-2)	Abstract ORCID	58.80	14
26	Computational discovery of metallic MBenes for two-dimension… (10.1038/s41524-025-01640-3)	Abstract ORCID	58.80	14
27	A physics-informed machine learning framework for accelerate… (10.1038/s41524-025-01775-3)	Abstract ORCID	58.80	14
28	Generalized modeling of carbon film deposition growth via hy… (10.1038/s41524-025-01781-5)	Abstract ORCID	58.80	14
29	A property-oriented design strategy for high performance cop… (10.1038/s41524-019-0227-7)	ORCID	58.06	209
30	Polymer design for solvent separations by integrating simula… (10.1038/s41524-025-01681-8)	Abstract ORCID	57.31	13
31	End-to-end prediction and design of additively manufacturabl… (10.1038/s41524-025-01768-2)	Abstract ORCID	57.31	13
32	Physics and applications of charged domain walls (10.1038/s41524-018-0121-8)	ORCID	57.14	192
33	Deep learning approach based on dimensionality reduction for… (10.1038/s41524-020-0276-y)	ORCID	56.74	185
34	Insights into the design of thermoelectric Mg3Sb2 and its an… (10.1038/s41524-019-0215-y)	ORCID	56.01	173
35	Unintuitive alloy strengthening by addition of weaker elemen… (10.1038/s41524-025-01576-8)	Abstract ORCID	55.70	12
36	Interpretable multimodal machine learning analysis of X-ray… (10.1038/s41524-025-01589-3)	Abstract ORCID	55.70	12
37	Generative deep learning for predicting ultrahigh lattice th… (10.1038/s41524-025-01592-8)	Abstract ORCID	55.70	12
38	Virtual screening of inorganic materials synthesis parameter… (10.1038/s41524-017-0055-6)	ORCID	55.63	167
39	First-principles prediction of high-entropy-alloy stability (10.1038/s41524-017-0049-4)	ORCID	55.50	165
40	Author Correction: Atomistic Line Graph Neural Network for i… (10.1038/s41524-022-00913-5)	Abstract References	53.96	11
41	Implementing numerical algorithms to optimize the parameters… (10.1038/s41524-024-01415-2)	Abstract ORCID	53.96	11
42	Machine learning enabled accurate prediction of structural a… (10.1038/s41524-025-01598-2)	Abstract ORCID	53.96	11
43	DPmoire: a tool for constructing accurate machine learning f… (10.1038/s41524-025-01740-0)	Abstract ORCID	53.96	11
44	A comprehensive exploration of thermal transport at Cu/diamo… (10.1038/s41524-025-01843-8)	Abstract ORCID	53.96	11
45	First-principles calculations of lattice dynamics and therma… (10.1038/npjcompumats.2016.6)	ORCID	53.88	142
46	A machine learning approach to model solute grain boundary s… (10.1038/s41524-018-0122-7)	ORCID	53.88	142
47	Understanding and designing magnetoelectric heterostructures… (10.1038/s41524-017-0020-4)	ORCID	53.81	141
48	Deep-learning-based inverse design model for intelligent dis… (10.1038/s41524-018-0128-1)	ORCID	53.65	139
49	Chemomechanical modeling of lithiation-induced failure in hi… (10.1038/s41524-017-0009-z)	ORCID	53.26	134
50	A review: applications of the phase field method in predicti… (10.1038/s41524-017-0018-y)	ORCID	53.26	134