MRS Bulletin

Papers
(The H4-Index of MRS Bulletin is 27. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Journal Highlights133
MRS Bulletin turns 50!85
Failure-resistant mechanisms in nature inform metamaterials design75
Dislocation does the twist with a double helix73
EU publishes guidance for safe and sustainable materials and chemicals67
Two-and-one-half cheers for the mediocracy*51
Things I didn’t and still don’t fully understand50
Amphiphilic assembly enhances performance of biofuel cells45
2021 MRS Fall Meeting provided a hybrid experience!40
Forming and erasing memories in disordered solids40
How to build an effective self-driving laboratory40
Closing the sustainability gap in materials education39
Solution-driven bioinspired design: Themes of latch-mediated spring-actuated systems38
Gas-phase materials synthesis in environmental transmission electron microscopy38
Binary ferroelectric oxides for future computing paradigms36
Metallic Zn crystals grown in liquid Ga imitate snowflake patterns36
Closing a chapter with MRS Bulletin and MRS34
Reversing planar gliding, microcracking enhances performance of single-crystalline Ni-rich cathode34
Functional imaging of brain organoids using high-density microelectrode arrays33
Beyond potentials: Integrated machine learning models for materials32
Journal Highlights31
Going cubic halves the efficiency droop in InGaAlN light-emitting diodes31
Direct roll transfer of silicon nanoribbons onto polyimide substrates accomplished in one step30
Look again29
From atomistic to collective dynamics: Bridging gaps in gas-phase electron microscopy for catalysis29
Covalent−organic framework-based electrolytes fabricated for solid-state Li-ion batteries29
Nanogenerators developed based on different physics effects28
Doping limits in p-type oxide semiconductors27
High-throughput computations and machine learning for halide perovskite discovery27
The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation27
Materials research and development needs to enable efficient and electrified buildings27
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