Apurva Mehta
Nature · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Apurva Mehta trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Nancy A. Obuchowski (in Epidemiology)
Papers from Apurva Mehta's perspective
Ordered by how strongly the researchers Apurva Mehta trusts endorse each paper. Same corpus, a different order for every researcher.
- Prediction of high-entropy stabilized solid-solution in multi-component alloys
- Receiver operating characteristic curves and their use in radiology. (Radiology)
- The WEKA data mining software: an update
- A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials
- Applications of high throughput (combinatorial) methodologies to electronic, magnetic, optical, and energy-related materials
- Organic Glasses with Exceptional Thermodynamic and Kinetic Stability (Science)
- Powering the planet with solar fuel. (Nature Chemistry)
- A metal-free bifunctional electrocatalyst for oxygen reduction and oxygen evolution reactions. (Nature Nanotechnology)
- Machine-learning-assisted materials discovery using failed experiments
- Synthesis and Activities of Rutile IrO2 and RuO2 Nanoparticles for Oxygen Evolution in Acid and Alkaline Solutions. (Journal of Physical Chemistry Letters)
Their papers
- Operando identification of site-dependent water oxidation activity on ruthenium dioxide single-crystal surfaces (2020) — 282 citations
- Enhanced ferroelectricity in ultrathin films grown directly on silicon (2020) — 789 citations
- Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments (2018) — 474 citations