Last Updated: 09/26/2026
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Found 15 publications
Origin of unique electronic structures of single-atom alloys unraveled by interpretable deep learning.
Journal: The Journal of chemical physics
Published: August 05, 2024
Unraveling Reactivity Origin of Oxygen Reduction at High-Entropy Alloy Electrocatalysts with a Computational and Data-Driven Approach.
Journal: The journal of physical chemistry. C, Nanomaterials and interfaces
Published: March 12, 2024
Bayesian-optimization-assisted discovery of stereoselective aluminum complexes for ring-opening polymerization of racemic lactide.
Journal: Nature communications
Published: December 28, 2022
Vibrational Entropy of Crystalline Solids from Covariance of Atomic Displacements.
Journal: Entropy (Basel, Switzerland)
Published: March 28, 2022
Breaking adsorption-energy scaling limitations of electrocatalytic nitrate reduction on intermetallic CuPd nanocubes by machine-learned insights.
Journal: Nature communications
Published: December 15, 2021
Clinical concept normalization with a hybrid natural language processing system combining multilevel matching and machine learning ranking.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: February 10, 2020
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: January 25, 2019
Clinical trial cohort selection based on multi-level rule-based natural language processing system.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: January 16, 2019
Symptom severity classification with gradient tree boosting.
Journal: Journal of biomedical informatics
Published: February 02, 2017
Laboratory tests as short-term correlates of stroke.
Journal: BMC neurology
Published: September 19, 2015
Last Updated: 09/26/2026