Klavs F. Jensen

About

Klavs F. Jensen is the Warren K. Lewis Professor in Chemical Engineering at MIT, with a focus on research in chemical engineering. His work encompasses areas such as biomedical and biotechnology, catalysis and reaction engineering, energy, environment and sustainability, materials, math and computational systems, and transport and thermodynamics. As a faculty member, he contributes to advancing knowledge in these fields and is involved in teaching and mentoring students and postdoctoral associates. His role includes leadership within the department, and he is recognized for his contributions to chemical engineering research and education.

Research topics

• Computer Science
• Chemistry
• Information Retrieval
• Artificial Intelligence
• Materials science
• Nanotechnology
• Combinatorial chemistry
• Data science
• Database
• Psychology

Selected publications

• The Open Reaction Database

  Journal of the American Chemical Society · 2021 · 329 citations

  Chemical reaction data in journal articles, patents, and even electronic laboratory notebooks are currently stored in various formats, often unstructured, which presents a significant barrier to downstream applications, including the training of machine-learning models. We present the Open Reaction Database (ORD), an open-access schema and infrastructure for structuring and sharing organic reaction data, including a centralized data repository. The ORD schema supports conventional and emerging t…

  DOI

• Microfluidic electrochemistry for single-electron transfer redox-neutral reactions

  Science · 2020 · 319 citations

  Senior authorCorresponding

  )-O cross-coupling. The cathode and anode simultaneously generate the corresponding reactive intermediates, and selective transformation is facilitated by the rapid molecular diffusion across a microfluidic channel that outpaces the decomposition of the intermediates. μRN-eChem was shown to enable a two-step gram-scale electrosynthesis of a nematic liquid crystal compound, demonstrating its practicality.

  DOI

• Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

  Journal of Medicinal Chemistry · 2020 · 241 citations

  Senior authorCorresponding

  synthetic planning into their overall approach to accessing target molecules. A data-driven synthesis planning program is one component being developed and evaluated by the Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS) consortium, comprising MIT and 13 chemical and pharmaceutical company members. Together, we wrote this perspective to share how we think predictive models can be integrated into medicinal chemistry synthesis workflows, how they are currently used within MLPDS…

  DOI

• On-Demand Continuous Manufacturing of Ciprofloxacin in Portable Plug-and-Play Factories: Development of a Highly Efficient Synthesis for Ciprofloxacin

  Organic Process Research & Development · 2021 · 25 citations

  The experimental approach taken and challenges overcome in developing a high-purity production (>100 g) scale process for the telescoped synthesis of the antibiotic ciprofloxacin is outlined. The process was first optimized for each step sequentially with regard to purity and yield, with necessary process changes identified and implemented before scaling for longer runs. These changes included implementing a continuous liquid–liquid extraction (CLLE) step and eliminating and replacing the base 1…

  PublisherDOI

• Integrating Machine Learning and Large Language Models to Advance Exploration of Electrochemical Reactions

  Angewandte Chemie International Edition · 2024-12-03 · 23 citations

  articleOpen accessSenior authorCorresponding

  Electrochemical C-H oxidation reactions offer a sustainable route to functionalize hydrocarbons, yet identifying suitable substrates and optimizing synthesis remain challenging. Here, we report an integrated approach combining machine learning and large language models to streamline the exploration of electrochemical C-H oxidation reactions. Utilizing a batch rapid screening electrochemical platform, we evaluated a wide range of reactions, initially classifying substrates by their reactivity, wh…

  PublisherOA PDFDOI

Recent grants

• High throughput microfluidic intracellular delivery platform

  NIH · $522k · 2013–2017

• NIH Grant RC1EB011187

  NIH · $500k · 2011

• SNM: Knowledge-based Continuous and Scalable Manufacture of Quantum Dots

  NSF · $1.3M · 2014–2019

Frequent coauthors

• Martin A. Schmidt

  76 shared

• Connor W. Coley

  Massachusetts Institute of Technology

  71 shared

• Moungi G. Bawendi

  64 shared

• William H. Green

  Massachusetts Institute of Technology

  38 shared

• Armon Sharei

  37 shared

• Róbert Langer

  Massachusetts Institute of Technology

  35 shared

• Stephen L. Buchwald

  Massachusetts Institute of Technology

  34 shared

• Jonathan P. McMullen

  Merck & Co., Inc., Rahway, NJ, USA (United States)

  30 shared

Labs

• MIT ChemEPI

Education

• Ph.D., Chemical Engineering

  Massachusetts Institute of Technology

  1990

• M.S., Chemical Engineering

  Massachusetts Institute of Technology

  1986

• B.S., Chemical Engineering

  University of Aarhus

  1984

Awards & honors

• The Neal R. Amundson Award (2023)
• National Academy of Inventors Fellow (2022)
• Corning Int’l Prize for Outstanding Work in Continuous Flow…
• John Prausnitz AIChE Institute Lecturer Award (2018)
• Elected to the National Academy of Sciences (2017)

Similar researchers at Massachusetts Institute of Technology

• Paula T. Hammondh-132
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