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researcher

T. Ko

13 papers hereh-index 111.2k citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author6

Across the 10 of 13 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci7
  • physics.chem-ph3
  • cs.AI2
  • physics.comp-ph1
same name
  • T. Ko — 2 papers, h 23
  • T. Ko — 1 paper, h 6
  • T. Ko — 1 paper, h 1
  • T. Ko — 1 paper, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedA Fourth-Generation High-Dimensional Neural Network Potential with Accurate Electrostatics Including Non-local Charge Transfer

533 citations · 567 across the 11 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

3 papers · 1 filter

physics.chem-ph2026★ 1 cited

El Agente Quntur: A research collaborator agent for quantum chemistry

Juan B. Pérez-Sánchez, Yunheng Zou, Jorge A. Campos-Gonzalez-Angulo +12

Quantum chemistry is a foundational enabling tool for the fields of chemistry, materials science, computational biology and others. Despite of its power, the practical application…

physics.chem-ph2023★ 2 cited

Accurate Fourth-Generation Machine Learning Potentials by Electrostatic Embedding

Tsz Wai Ko, Jonas A. Finkler, Stefan Goedecker +1

In recent years, significant progress has been made in the development of machine learning potentials (MLPs) for atomistic simulations with applications in many fields from chemist…

physics.chem-ph2021

Neural Network Potentials: A Concise Overview of Methods

Emir Kocer, Tsz Wai Ko, Jörg Behler

In the past two decades, machine learning potentials (MLP) have reached a level of maturity that now enables applications to large-scale atomistic simulations of a wide range of sy…

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