Xiaorui Dong

Citation name

Dong, X.

Affiliation

Massachusetts Institute of Technology

State

MA

Country

USA

Authored

(509ct) An Automated Workflow to Rapidly and Accurately Generate Transition State Structures Using Machine Learning

Lagnajit Pattanaik

Kevin Spiekermann

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(731c) Towards Fully Automated Generation of Predictive Detailed Kinetic Models: 2,3-Dimethylbut-2-Ene Oxidation Modeling As an Example

Lagnajit Pattanaik

Kevin Spiekermann

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(561g) Investigating Effectiveness of Diethylhydroxylamine (DEHA) As Inhibitor for Oxygen-Involved Polymer Fouling Using Automatically Generated Multi-Phase Kinetics Model

Michael Forsuelo

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(621g) An End-to-End Workflow for Diverse Transition State Conformer Generation Using Machine Learning

Lagnajit Pattanaik

Kevin Spiekermann

2022 Annual Meeting (ISBN: 978-0-8169-1118-9)

(361e) Quantumpioneer: Self-Evolving Machine for High-Throughput Automated Potential Energy Surface Exploration and Closed-Loop Chemical Reactivity Discovery

Jackson W. Burns

Kevin Spiekermann

Sayandeep Biswas

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

(702a) Recent Advances in Predictive Kinetics

Kevin Spiekermann

2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)

Associated proceedings

2021 Annual Meeting

2022 Annual Meeting

2023 AIChE Annual Meeting