1. Machine-learned interatomic potentials: Recent developments and prospective applications

   • Volker Eyert
   • Jonathan Wormald
   • Erich Wimmer

   Overview 08 December 2023 Pages: 5079 - 5094

   

2. Accelerating training of MLIPs through small-cell training

   • Jason A. Meziere
   • Yu Luo
   • Gus L. W. Hart

   Invited Paper 31 October 2023 Pages: 5095 - 5105

   

3. Improving stability and transferability of machine learned interatomic potentials using physically informed bounding potentials

   • H. Zhou
   • D. Dickel
   • C. D. Barrett

   Invited Paper 03 October 2023 Pages: 5106 - 5113

   

4. Deep-learning potentials for proton transport in double-sided graphanol

   • Siddarth K. Achar
   • Leonardo Bernasconi
   • J. Karl Johnson

   Invited Paper 30 August 2023 Pages: 5114 - 5124

   

5. Atomic cluster expansion for Pt–Rh catalysts: From ab initio to the simulation of nanoclusters in few steps

   • Yanyan Liang
   • Matous Mrovec
   • Ralf Drautz

   Invited Feature Paper Open access 22 August 2023 Pages: 5125 - 5135

   

6. Exploring model complexity in machine learned potentials for simulated properties

   • A. Rohskopf
   • J. Goff
   • M. A. Wood

   Invited Feature Paper Open access 18 September 2023 Pages: 5136 - 5150

   

7. Molecular dynamics simulations using machine learning potential for a-Si:H/c-Si interface: Effects of oxygen and hydrogen on interfacial defect states

   • Takayuki Semba
   • Jacob McKibbin
   • Ryoji Asahi

   Invited Paper 08 September 2023 Pages: 5151 - 5160

   

8. A machine-learning potential-based generative algorithm for on-lattice crystal structure prediction

   • Vadim Sotskov
   • Evgeny V. Podryabinkin
   • Alexander V. Shapeev

   Invited Paper 02 October 2023 Pages: 5161 - 5170

   

9. Natural aging and vacancy trapping in Al-6xxx

   • Abhinav C. P. Jain
   • M. Ceriotti
   • W. A. Curtin

   Invited Paper Open access 21 December 2023 Pages: 5171 - 5187

   

10. Machine-learned potentials for eucryptite: A systematic comparison

    • Jörg-Rüdiger Hill
    • Wolfgang Mannstadt

    Invited Paper 12 October 2023 Pages: 5188 - 5197