publications by categories in reversed chronological order. generated by jekyll-scholar.


  1. Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab
    Martin Seifrid, Robert Pollice, Andrés Aguilar-Granda, Zamyla Morgan Chan, Kazuhiro Hotta, Cher Tian Ser, Jenya Vestfrid, Tony C Wu, and Alán Aspuru-Guzik
    Accounts of Chemical Research 2022
  2. Reinforcement learning supercharges redox flow batteries
    Yang Cao, Cher Tian Ser, Marta Skreta, Kjell Jorner, Nathanael Kusanda, and Alán Aspuru-Guzik
    Nature Machine Intelligence 2022


  1. Data-driven strategies for accelerated materials design
    Robert Pollice, Gabriel Passos Gomes, Matteo Aldeghi, Riley J Hickman, Mario Krenn, Cyrille Lavigne, Michael Lindner-D’Addario, AkshatKumar Nigam, Cher Tian Ser, Zhenpeng Yao, and  others
    Accounts of Chemical Research 2021
  2. Designing piezoresistive materials from first-principles: Dopant effects on 3C-SiC
    Cher Tian Ser, Adrian Matthew Mak, Tomasz Wejrzanowski, and Teck Leong Tan
    Computational Materials Science 2021


  1. Prediction of corrosion inhibition efficiency of pyridines and quinolines on an iron surface using machine learning-powered quantitative structure-property relationships
    Cher Tian Ser, Petar Žuvela, and Ming Wah Wong
    Applied Surface Science 2020


  1. Iodoimidazolinium-catalyzed reduction of quinoline by Hantzsch ester: Halogen bond or Brønsted acid catalysis
    Cher Tian Ser, Hui Yang, and Ming Wah Wong
    The Journal of Organic Chemistry 2019
  2. Modeling halogen bonding with planewave density functional theory: Accuracy and challenges
    Shi Jun Ang, Cher Tian Ser, and Ming Wah Wong
    Journal of Computational Chemistry 2019