Quantum Machine Learning Algorithms for Drug Discovery Applications. [PDF]
Batra K +6 more
europepmc +1 more source
Non‐Equilibrium Synthesis Methods to Create Metastable and High‐Entropy Nanomaterials
ABSTRACT Stabilizing multiple elements within a single phase enables the creation of advanced materials with exceptional properties arising from their complex composition. However, under equilibrium conditions, the Hume–Rothery rules impose strict limitations on solid‐state miscibility, restricting combinations of elements with mismatched crystal ...
Shuo Liu +3 more
wiley +1 more source
An integrated strategy based on radiomics and quantum machine learning: diagnosis and clinical interpretation of pulmonary ground-glass nodules. [PDF]
Huang X +7 more
europepmc +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Nanozyme Microrobots: Programmable Spatiotemporal Catalysis for Targeted Therapy and Diagnostics
This review presents nanozyme microrobots as emerging catalytic systems that integrate mobility, external actuation, and adaptive reactivity to achieve precise biochemical functions. By examining mobility‐regulated catalysis, spatial targeting, integrated designs, and translational demonstrations, the article highlights how nanozyme robotics enables ...
Hong Huy Tran +5 more
wiley +1 more source
Quantum machine learning with Adaptive Boson Sampling via post-selection. [PDF]
Hoch F +20 more
europepmc +1 more source
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network. [PDF]
Amin J +4 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data. [PDF]
Thakur A +19 more
europepmc +1 more source
Fitting quantum machine learning potentials to experimental free energy data: predicting tautomer ratios in solution. [PDF]
Wieder M, Fass J, Chodera JD.
europepmc +1 more source

