Hybrid artificial intelligence and quantum annealing as an optimization layer in drug discovery. [PDF]
Ou CH, Liao JC, Huang CY, Lee OK.
europepmc +1 more source
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo +10 more
wiley +1 more source
Quantum computing applications in drug discovery. [PDF]
Li J, Wei L, Tong HHY, Zou Q.
europepmc +1 more source
Quantum‐Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion‐Scale
Quantum‐trained AI links molecular substructures to frontier‐orbital energetics and enables interpretable screening across nearly one billion GDB‐13 molecules. By combining fragment‐ and ring‐level insights with donor–acceptor energy alignment against ITIC, the framework narrows an immense chemical space to a small set of promising candidates and ...
Yeongnam Ko, Se Jin Kim, Ki Chul Kim
wiley +1 more source
Parallelizable search-space decomposition for large-scale combinatorial optimization problems using quadratic unconstrained binary optimization. [PDF]
Kawase E, Kikuchi S, Tamai H, Tanaka S.
europepmc +1 more source
A polymer chain in motion: backbone, ring, and counterion dynamics interlock across timescales to relay protons through poly(ionic liquid) membranes. ABSTRACT Polymer electrolyte membranes composed of ionic liquids (IL), capable of conducting protons efficiently at elevated temperatures, without external humidification, could transform fuel cell ...
Keenan Smith +11 more
wiley +1 more source
Magnetic resonance searches for Earth-sourced exotic nuclear spin-dependent interactions. [PDF]
Wang Y +9 more
europepmc +1 more source
Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2
Atomic‐resolution in‐situ heating microscopy directly visualizes dislocation‐mediated grain boundary migration and grain growth in monolayer MoS2. Mobile grain boundaries migrate through collective motion of Mo 5|7 dislocations, whereas S 5|7 defects remain largely immobile.
Chang‐Won Choi +11 more
wiley +1 more source
Replacing Quantum Chemistry With Machine-Learned Interatomic Potentials: Revolution or Evolution? [PDF]
Medford AJ, Sholl DS.
europepmc +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source

