Harnessing the potential of AI in lifelong learning for medical undergraduates
The Asia Pacific ScholarNathasha Luke +2 more
doaj +1 more source
Machine learning potential predictor of idiopathic pulmonary fibrosis. [PDF]
Front GenetDing C +8 more
europepmc +1 more source
Accelerating the Structure Exploration of Diverse Bi-Pt Nanoclusters via Physics-Informed Machine Learning Potential and Particle Swarm Optimization. [PDF]
ChemphyschemVangheluwe R +6 more
europepmc +1 more source
Learning potential energy surfaces of hydrogen atom transfer reactions in peptides.
Digit DiscovNeubert M +3 more
europepmc +1 more source
Biologically explainable multi-omics feature demonstrates greater learning potential by identifying tissue of origin, stages, and subtypes for pan-cancer classification. [PDF]
Sci RepMunquad S +5 more
europepmc +1 more source
Machine Learning Potential Analysis of Structural Transition in Cu and Ag Nanoparticles: From Icosahedral to Face-Centered Cubic. [PDF]
J Chem Theory ComputYang Y, Han J, Viñes F, Illas F.
europepmc +1 more source
Unraveling disorder-to-order transitions and chemical ordering in PtCoM ternary alloys using machine learning potential. [PDF]
Chem SciNiu X, Zhen S, Zhang R, Li J, Zhang L.
europepmc +1 more source
Transferability of MACE Graph Neural Network for Range Corrected Δ-Machine Learning Potential QM/MM Applications. [PDF]
J Phys Chem BGiese TJ, Zeng J, York DM.
europepmc +1 more source
Revisiting Aspirin Polymorphic Stability Using a Machine Learning Potential. [PDF]
ACS OmegaHattori S, Zhu Q.
europepmc +1 more source
Analytical ab initio hessian from a deep learning potential for transition state optimization. [PDF]
Nat CommunYuan EC +7 more
europepmc +1 more source