Results 171 to 180 of about 8,389,880 (297)
Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2
Advanced Science, EarlyView.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
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Advanced Science, EarlyView.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
Quantum engineering of qudits with interpretable machine learning
Higher-dimensional quantum systems (qudits) offer advantages in information encoding, error resilience, and compact gate implementations, and naturally arise in platforms such as superconducting and solid-state systems. However, realistic conditions such
Paz-Silva, GA +4 more
core +1 more source
Ultrahigh Interfacial Thermal Conductance across GaN/BAs Interfaces via Atomic‐Level Engineering
Advanced Science, EarlyView.The integration of gallium nitride (GaN) with ultrahigh‐thermal‐conductivity boron arsenide (BAs) substrates represents a promising pathway for developing next‐generation high‐power devices. The heat dissipation capability of such integrated systems is fundamentally governed by thermal transport across GaN/BAs interfaces, and buffer layers such as ...
Linfeng Yu +10 more
wiley +1 more source
Quantum Machine Learning: Quantum Kernel Methods
CoRRQuantum algorithms based on quantum kernel methods have been investigated previously [1]. A quantum advantage is derived from the fact that it is possible to construct a family of datasets for which, only quantum processing can recognise the intrinsic labelling patterns, while for classical computers the dataset looks like noise.
openaire +2 more sources
Advanced Science, EarlyView.A novel bias‐programmable shortwave infrared (SWIR) vision sensor is developed using multi‐junction colloidal quantum dots (QDs). Under varying applied voltage, the back‐to‐back rectifying junctions effectively tune trapping centers to switch the device between high‐speed photodetector and persistent synapse modes.
Zhuoyang He +6 more
wiley +1 more source
Advanced Science, EarlyView.A photoelectrochemical circularly polarized light detector combines a multilayer chiral photonic film with a dynamically regulated BiVO4‐RGO‐MXene transducer. Broadband optical modulation from 360 to 830 nm is converted into stable electrical outputs through low‐noise solid‐liquid interfacial charge transfer, enabling self‐powered CPL discrimination ...
Siqin Zhou +5 more
wiley +1 more source
Quantum machine learning for predicting anastomotic leak: a clinical study. [PDF]
Sci RepNovák V +4 more
europepmc +1 more source
Quantum machine learning with differential privacy. [PDF]
Sci Rep, 2023 Watkins WM, Chen SY, Yoo S.
europepmc +1 more source
Advanced Science, EarlyView.We demonstrate that the inverse relationship between viscosity and conductivity in structured electrolytes can be circumvented by leveraging their hydrogen bonding networks for Grotthuss proton transport. Using a mixture of imidazole and levulinic acid, we show that the existence of extended hydrogen‐bonded chains that can rapidly reorient result in ...
Benworth B. Hansen +15 more
wiley +1 more source