skip to navigation skip to content

All Department of Chemistry courses

Show only:

Showing courses 51-60 of 68
Courses per page: 10 | 25 | 50 | 100

Chemistry: IS5 SciFinder and Reaxys Mon 2 Mar 2020   11:30 [Places]

A ‘highly recommended’ optional course introducing electronic databases SciFinder and Reaxys presented by Professor Jonathan Goodman comprising of presentation followed by hands-on investigation.

SciFinder provides access to biochemical, chemical, chemical engineering, medical and other related information in journal and patent literature. Bibliographic, substance and reaction information is available. SciFinder includes references from more than 10,000 scientific journals and patent information from 63 patent issuing authorities. Sources include journals, patents, conference proceedings, dissertations, technical reports and books. It is one of the world’s largest collections of organic and inorganic substance information.

It is possible to search by topic, author, company name, chemical structure, substructure, structure similarity and reaction. Personal registration is required for access to SciFinder on- and off-campus, please follow the instructions at:

Reaxys combines the content of CrossFire Beilstein, Gmelin and the Patent Chemistry Database in one search. Validated reaction and substance data are integrated with synthesis planning. Data from all three sources are merged into one substance record. Unlimited access on-campus via the web: Off-campus access via Raven password. (Personal registration is not required for access).

Please see the prerequisites. Please bring your own laptop for the practical element of the session.

This session introduces new undergraduate Chemistry students to the Department of Chemistry Library and its place within the wider Cambridge University Library system. It provides general information on what is available, where it is, and how to get it. Print and online resources are included.

Chemistry: Machine Learning in Chemistry 101 new Tue 14 Jan 2020   13:00 [Full]

This graduate-level course gives an overview of machine learning (ML) techniques that are useful for solving problems in Chemistry, and particularly for the computational understanding and predictions of materials and molecules at the atomic level.

In the first part of the course, after taking a quick refresher of the basic concepts in probabilities and statistics, students will learn about basic and advanced ML methods including supervised learning and unsupervised learning.

During the second part, the connection between chemistry and mathematical tools of ML will be made and the concepts on the construction of loss functions, representations, descriptors and kernels will be introduced.

For the last part, experts who are actively using research methods to solve research problems in chemistry and materials will be invited to give real-world examples on how ML methods have transformed the way they perform research.

Chemistry: Philosophy for Chemists Mon 14 Oct 2019   12:00 Finished

Science is a striking, successful and powerful feature of contemporary human cultures: it has transformed lives, enabled great technological feats and often revealed the world to be a much stranger place than appearances suggest. But what is science, really, and how and why has it been so successful? This 3 week course aims to introduce graduate students to some main themes in the philosophy of science generally, and the philosophy of chemistry in particular.

Lecture 1. What Is Science?

What makes science scientific? Is there something distinctive about scientific investigation which distinguishes it from other things humans do? Does science give us infallible knowledge? Or at least the kind of knowledge that always gets better? These questions will be discussed in relation to the views of some well-known philosophers of science including Karl Popper and Thomas Kuhn.

Lecture 2. Measurement

Measurement is the foundation of any quantitative empirical science. We make all sorts of measurements routinely in the lab, but there are actually deep difficulties in knowing if our instruments and procedures correctly measure what we intend to measure. The epistemological issues involved here will be discussed through various scientific examples, including temperature and pH.

Lecture 3. Reductionism

Does all science ultimately boil down to fundamental physics? This is a pertinent issue to all areas of science, but an urgent one especially for chemistry. Considering the success of quantum chemistry one might imagine that chemistry is just applied physics, but the matter is not so simple. Looking at the longer history of the attempts to reduce chemistry to physics will also be instructive.

Chemistry: Quantum Computing new Mon 10 Feb 2020   14:00 [Places]

Lecture 1 - Fundamentals of Quantum Computing A short summary of all the basic quantum computing knowledge needed to do quantum chemistry on a quantum computer.

Lecture 2 - Encoding chemistry systems in quantum computers

  • Second quantization
  • Jordan-Wigner and Bravyi-Kitaev transforms
  • Molecular orbital encoding
  • State Preparation

Lecture 3 - Quantum algorithms for energy calculations

  • NISQ: Variational quantum algorithms
  • Future: Phase Estimation algorithms

Lecture 4 - Advanced quantum chemistry quantum computing algorithms

  • Excited Algorithms: QSE, Constrained Minimisation, etc
  • Special Ansatz using symmetry
  • Imaginary time evolution
  • TBA

To see a list of all upcoming Physical Chemistry Seminars please visit their webpage

You can also subscribe to these talks and download them to your calendar from the Talks webpage

To see a list of all upcoming Biological Chemistry Seminars please visit their webpage

You can also subscribe to these talks and download them to your calendar from the Talks webpage

To see a list of all upcoming Materials Chemistry Seminars please visit their webpage

You can also subscribe to these talks and download them to your calendar from the Talks webpage

To see a list of all upcoming Synthetic Chemistry Seminars please visit their webpage

You can also subscribe to these talks and download them to your calendar from the Talks webpage

Chemistry: SC1-10 Statistics for Chemists Mon 13 Jan 2020   13:00 [Standby]

This course is made up of 8 sessions which will be based around the topics below: unlike other courses in the Graduate Lecture Series, it is essential to attend all 8 sessions to benefit from this training. Places are limited so please be absolutely certain upon booking that you will commit to the entire course.

[Back to top]