1. The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation

   • Logan Saar
   • Haotong Liang
   • A. Gilad Kusne

   Material Matters 03 November 2022 Pages: 881 - 885

   

2. Machine learning improves metal–organic frameworks design and discovery

   • Senam Tamakloe

   Materials News 17 October 2022 Pages: 886 - 886

   

3. Laser additive manufacturing technology achieves 3D-printed Ni single crystals

   Materials News 17 October 2022 Pages: 887 - 887

   

4. Microparticles could deliver “self-boosting” vaccines

   Materials News 13 October 2022 Pages: 888 - 889

   

5. US “CHIPS and Science Act” gives semiconductor R&D and industry a multibillion dollar boost

   • Judy Meiksin

   Science Policy 14 October 2022 Pages: 890 - 892

   

6. Journal Highlights

   News 26 August 2022 Pages: 893 - 893

   

7. Molecule graph reconstruction from atomic force microscope images with machine learning

   • Niko Oinonen
   • Lauri Kurki
   • Adam S. Foster

   Impact Article Open access 12 July 2022 Pages: 895 - 905

   

8. Surface stability of GaN nanowires under Cs/O/Cs, Cs/NF₃/Cs, Cs/Li/NF₃/Cs/Li-activated conditions based on first principles

   • Feifei Lu
   • Lei Liu
   • Jian Tian

   Impact Article 22 June 2022 Pages: 906 - 912

   

9. All-electrochemical synthesis of tunable fine-structured nanoporous copper films

   • Ezer Castillo
   • Jackson Zhang
   • Nikolay Dimitrov

   Impact Article 02 August 2022 Pages: 913 - 925

   

10. Artificial intelligence in computational materials science

    • Heather J. Kulik
    • Pratyush Tiwary

    Review Article 02 November 2022 Pages: 927 - 929

    

11. Deep learning for electron and scanning probe microscopy: From materials design to atomic fabrication

    • Sergei V. Kalinin
    • Maxim Ziatdinov
    • John Randall

    Review Article 03 November 2022 Pages: 931 - 939

    

12. High-throughput computations and machine learning for halide perovskite discovery

    • Jiaqi Yang
    • Arun Mannodi-Kanakkithodi

    Review Article 13 October 2022 Pages: 940 - 948

    

13. Machine learning for molecular simulations of crystal nucleation and growth

    • Sapna Sarupria
    • Steven W. Hall
    • Jutta Rogal

    Review Article 04 October 2022 Pages: 949 - 957

    

14. Kinetic network models to study molecular self-assembly in the wake of machine learning

    • Bojun Liu
    • Yunrui Qiu
    • Xuhui Huang

    Review Article 18 October 2022 Pages: 958 - 966

    

15. When not to use machine learning: A perspective on potential and limitations

    • Matthew R. Carbone

    Review Article Open access 21 October 2022 Pages: 968 - 974

    

16. Do robotic bumblebees dream of artificial flowers?*

    • Steve Moss

    Posterminaries 26 September 2022 Pages: 975 - 976