Axel van de Walle

About

Axel van de Walle is a Professor of Engineering at Brown University, specializing in Materials Science within the field of Computational Engineering. He is involved in the Master’s in Data-Enabled Computational Engineering and Science program at Brown University. His research focuses on computational approaches in engineering and materials science, contributing to the advancement of data-enabled methods in these fields. He serves as an advisor and is actively engaged in academic and research activities at Brown University, located in Providence, RI.

Research topics

• Computer Science
• Artificial Intelligence
• Political Science
• Medicine
• Econometrics
• Business
• Economics
• Geography
• Engineering
• Operations research

Selected publications

• Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

  Proceedings of the National Academy of Sciences · 2022 · 311 citations

  Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hu…

  DOI

• Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloy

  npj Computational Materials · 2021 · 249 citations

  Senior authorCorresponding

  Abstract While rhenium is an ideal material for rapid thermal cycling applications under high temperatures, such as rocket engine nozzles, its high cost limits its widespread use and prompts an exploration of viable cost-effective substitutes. In prior work, we identified a promising pool of candidate substitute alloys consisting of Mo, Ru, Ta, and W. In this work we demonstrate, based on density functional theory melting temperature calculations, that one of the candidates, Mo 0.292 Ru 0.555 Ta…

  DOI

• The United States COVID-19 Forecast Hub dataset

  Scientific Data · 2022 · 126 citations

  Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hosp…

  DOI

• Probing phase stability in CrMoNbV using cluster expansion method, CALPHAD calculations and experiments

  Acta Materialia · 2023-06-08 · 29 citations

  articleOpen access
  PublisherOA PDFDOI

• Bayesian active machine learning for Cluster expansion construction

  Computational Materials Science · 2023-10-19 · 10 citations

  articleSenior author
  PublisherDOI

Recent grants

• CAREER: Extending the lattice stability framework in ab initio alloy thermodynamics

  NSF · $261k · 2010–2011

• Collaborative research: experimental and computational study of structure and thermodynamics of rare earth oxides above 2000 C

  NSF · $214k · 2018–2022

• Collaborative Research: Rare Earth Materials Under Extreme Conditions

  NSF · $113k · 2022–2026

Frequent coauthors

• Qi‐Jun Hong

  Arizona State University

  127 shared

• Micaela Oertel

  Centre National de la Recherche Scientifique

  80 shared

• J. van den Brand

  78 shared

• B. Revenu

  Centre National de la Recherche Scientifique

  70 shared

• Jérôme Novak

  Institut de Recherche en Informatique Fondamentale

  62 shared

• Mark Asta

  University of California, Berkeley

  61 shared

• I. M. Pinto

  Enrico Fermi Center for Study and Research

  54 shared

• A. Heidmann

  52 shared

Similar researchers at Brown University

• Yuri Bazilevsh-88
• Mark Ainsworthh-80
• Linda Abriolah-58