Gareth Conduit
Email  gjc29abc@a@bc.comcam.ac.uk

Presentations

Further details of my research can be found in the posters, flyers, and slides from talks enumerated by year below. A pdf copy of the resource may be downloaded by clicking on the image of the first slide.

Posters are divided into five subject areas, the first triad focusing on machine learning, and the final pair on condensed matter physics. Please click on an image to download and view the poster.

Machine learning for materials discovery

  • Concrete
  • Maxwell Showcase
  • Intellegens
  • Intellegens
  • Noise
  • Microstructure

Machine learning for industrial chemicals and pharmaceuticals

  • Lubricants
  • Drug Discovery
  • Drug Discovery
  • MSC cartilage repair
  • RSC drug design

Machine learning commercialization

  • Intellegens
  • Intellegens
  • Intellegens
  • Intellegens
  • Intellegens

Solid state physics

  • Many Flavour Electron Gas
  • Student Conference
  • Little Parks Effect
  • Low Dimensional Transport
  • Magnetoresistance
  • Vibrational Modes
  • Communal Pairing

Ultracold atomic gases

  • FFLO
  • Ferromagnetism
  • Stoner Transition
  • Atomic Ferromagnetism
  • Monopoles
  • Mass Imbalance Ferromagnetism
  • Pseudopotentials

Flyers for Alchemite™ offered by Intellegens are divided into two tranches, the first focusing on the machine learning software and generic applications, and the final tranche on the application in specific industries. Please click on an image to download and view the flyer.

Machine learning software and generic applications

  • Alchemite 1
  • Alchemite 2
  • Alchemite Spec Sheet
  • Chemicals Industry
  • Materials Industry

Application in specific industries

  • Plastics 1
  • Additive Manufacturing 1
  • Batteries short 1
  • Batteries long 1
  • Batteries 2

pdf

A repulsive atomic gas on the border of itinerant ferromagnetism

Israeli Physical Society Conference. December 2009

pdf

Inhomogeneous phase formation on the border of itinerant ferromagnetism

Weizmann Institute of Science, Israel. June 2009

pdf

Itinerant ferromagnetism: A quantum fluctuation driven FFLO analogue

Birmingham Condensed Matter Physics Group, UK. May 2009

pdf

FFLO instability in 2D atomic gases

APS March meeting, USA. March 2009

pdf

Quantum critical itinerant ferromagnetism

Theory of Condensed Matter Group, University of Cambridge, UK. February 2009

pdf

Electron gases of many flavours

Abdus Salam Prize talk, University of Cambridge, UK. January 2009

pdf

Quantum critical itinerant ferromagnetism

St Andrews Condensed Matter Physics Group, UK. October 2008

pdf

Physics at Work

University of Cambridge, UK. September 2008

pdf

Triplet pairing orbitals in a spin

Theory of Condensed Matter Group, University of Cambridge, UK. June 2008

pdf

The search for itinerant ferromagnetism with Quantum Monte Carlo

Theory of Condensed Matter Group, University of Cambridge, UK. February 2008

pdf

FFLO instability in 2D atomic gases

Theory of Condensed Matter Group, University of Cambridge, UK. January 2008

pdf

Physics at Work

University of Cambridge, UK. September 2007

pdf

Electron gases of many flavours

Theory of Condensed Matter Group, University of Cambridge, UK. May 2007

pdf

The Fourth "R"

Theory of Condensed Matter Group, University of Cambridge, UK. February 2007

pdf

Major Halo Mergers: Investigation of Density Profiles

BP Institute, UK. February 2005

pdf

Major Halo Mergers: Investigation of Density Profiles

University of Leicester, UK. September 2004

pdf

A primer on Quantum Monte Carlo Calculations for Minimum Energy Structures

Weizmann Institute of Science, Israel. December 2010

pdf

An ab initio study of the quantum Little-Parks effect

Israeli Physical Society Conference. December 2010

pdf

Electronic structure calculations with Quantum Monte Carlo

Ben Gurion University, Israel. December 2010

pdf

The realization of itinerant ferromagnetism in an atomic Fermi gas

Mizpe Ramon Scientific Retreat, Israel. October 2010

pdf

Perspectives on itinerant ferromagnetism in an atomic Fermi gas

Center for Ultracold Atoms, MIT, USA. May 2010

pdf

Perspectives on itinerant ferromagnetism in an atomic Fermi gas

CIFAR Quantum Materials Program Meeting, Canada. May 2010

pdf

Ferromagnetism in an atomic Fermi gas

Ben Gurion University, Israel. April 2010

pdf

Effect of three-body loss on itinerant ferromagnetism in an atomic Fermi gas

APS March meeting, USA. March 2010

pdf

A repulsive atomic gas on the border of itinerant ferromagnetism

APS March meeting, USA. March 2010

pdf

Inhomogeneous phase formation on the border of itinerant ferromagnetism

APS March meeting, USA. March 2010

pdf

A repulsive atomic gas on the border of itinerant ferromagnetism

St Andrews Condensed Matter Physics Group, UK. March 2010

pdf

A repulsive atomic gas on the border of itinerant ferromagnetism

Newspin 2010, Utrecht University, The Netherlands. January 2010

pdf

A repulsive atomic gas on the border of itinerant ferromagnetism

Weizmann Institute of Science, Israel. January 2010

pdf

New experimental protocols to probe the Stoner transition in a Fermi gas

CMMP11, UK. December 2011

pdf

Electrons in a spin: the physics of gadgets

Cambridge University Physics Society, UK. October 2011

pdf

New experimental protocols to probe the Stoner transition in a Fermi gas

Quantum Magnetism Conference, Israel. May 2011

pdf

The realization of itinerant ferromagnetism in an atomic Fermi gas

Durham University, UK. March 2011

pdf

More is different for condensed matter physics

St Paul's School, London, UK. March 2011

pdf

An ab initio study of the Little-Parks effect in ultrathin cylinders

London Centre for Nanotechnology, UK. March 2011

pdf

An ab initio study of the Little-Parks effect in ultrathin cylinders

The Rudolf Peierls Centre for Theoretical Physics, University of Oxford, UK. March 2011

pdf

An ab initio study of the Little-Parks effect

Theory of Condensed Matter Group, University of Cambridge, UK. March 2011

pdf

Ferromagnetism in a few-fermion system

The Rudolf Peierls Centre, University of Oxford, UK. November 2012

pdf

Ferromagnetism in a few-fermion trap

Theory of Condensed Matter Group, University of Cambridge, UK. November 2012

pdf

Cold atoms unspun

Theory of Condensed Matter Group, University of Cambridge, UK. October 2012

pdf

Imprinting magnetic monopoles onto an atomic gas

POLATOM Network Conference, UK. September 2012

pdf

Imprinting magnetic monopoles onto an atomic gas

CMP in the City: Disorder and Magnetism, London, UK. June 2012

pdf

Modeling the magnetoresistance of disordered superconducting films

CMP in the City: Superconductivity, London, UK. June 2012

pdf

Imprinting magnetic monopoles onto an atomic gas

University of Cambridge, UK. May 2012

pdf

Alloys by design

Easter Science School, UK. April 2012
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Modelling the magnetoresistance of disordered superconducting films

Royal Holloway, University of London, UK. March 2012

pdf

Bespoke alloy design: characterization and optimization

Royal Society, UK. March 2012

pdf

Cold atoms in a spin

Maria Waldrast meeting, Austria. March 2012

pdf

Alloys by design

Caius Sciences Study Day, UK. February 2012
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Cold atoms in a spin

Theory of Condensed Matter Group, University of Cambridge, UK. February 2012

pdf

Alloys by design

Royal Commission for the Exhibition of 1851 Science Evening, UK. January 2012

pdf

Alloys by design

Winning talk at the Institute of Physics "3-minute wonder competition", UK. January 2012

pdf

Modelling the magnetoresistance of disordered superconducting films

University of York, UK. January 2012

pdf

Pseudopotentials reach for the stars

Theory of Condensed Matter Group, University of Cambridge, UK. November 2013

pdf

Few-atom approach to many-body physics

Physics Department, Loughborough University, UK. October 2013

pdf

Few-atom approach to many-body physics

Department of Physics, University of Warwick, UK. October 2013

pdf

Concurrent materials design

University College London, UK. September 2013

pdf

Concurrent materials design

Accelrys Inc., UK. September 2013

pdf

Few-atom approach to many-body physics

UK-NL Condensed Matter Meeting, Bristol, UK. August 2013

pdf

Few-atom approach to many-body physics

Dynamics of Complex Quantum Systems Workshop, Windsor, UK. August 2013

pdf

Computational design of superalloys

QMC versus density functional theory conference, Tuscany, Italy. July 2013

pdf

Ferromagnetic spin correlations in a few-fermion system

CMP in the City: Magnetism, London, UK. July 2013

pdf

Concurrent materials design

Granta Design Ltd, UK. July 2013

pdf

Accelerated iterative sampling

BP compressive sensing symposium, UK. July 2013

pdf

Ferromagnetism in a few-fermion atom gas

Department of Physics, University of Nottingham, UK. June 2013

pdf

Computational design of superalloys

Thomas Young Centre, Imperial College London, UK. May 2013

pdf

Computational design of superalloys

Worshipful Company of Armourers and Brasiers, London, UK. May 2013

pdf

Top Trumps: metals & alloys

Theory of Condensed Matter Group, University of Cambridge, UK. May 2013

pdf

The materials age

Easter Science School, UK. April 2013
(video 1)   (video 2)   (video 3)   (video 4)

pdf

A few-fermion BCS superconductor

Theory of Condensed Matter Group, University of Cambridge, UK. March 2013

pdf

The materials age

Caius Sciences Study Day, UK. February 2013
(video 1)   (video 2)   (video 3)   (video 4)

pdf

The materials age

Whitgift School visit, UK. February 2013
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Fluctuation-induced pair density wave in itinerant ferromagnets

Quantum Matter Group, University of Cambridge, UK. February 2013

pdf

Fluctuation-induced phases in itinerant ferromagnets

Theory of Condensed Matter Group, University of Cambridge, UK. February 2013

pdf

Ultracold atomic gases as quantum simulators

Graduate Lecture Series, University of Cambridge, UK. January 2013

pdf

p-wave superconductivity in the itinerant ferromagnet

School of Physics, Bristol University, UK. November 2014

pdf

Course in many-body theory

Centre for Doctoral Training in Condensed Matter Physics, Bristol University, UK. November 2014
(pdf of lecture [1]   [2]   [3]   [4]   [5])

pdf

Breakthroughs in data driven materials design

Samsung Advanced Institute of Technology, Republic of Korea. November 2014

pdf

Concurrent materials design

Surfaces, Microstructure and Fracture Group, University of Cambridge, UK. October 2014

pdf

Machine learning in materials design, oil exploration, and beyond

Samsung R&D Institute, UK. October 2014

pdf

Concurrent materials design

Abu Dhabi Investment Authority, UK. September 2014

pdf

Pseudizing the Hamiltonian

QMC versus density functional theory conference, Tuscany, Italy. July 2014

pdf

Concurrent materials design

NanoDTC symposium, UK. July 2014

pdf

Concurrent materials design

School of Engineering, University of Edinburgh, UK. June 2014

pdf

Concurrent materials design

Department of Chemistry, University College London, UK. June 2014

pdf

Concurrent materials design

Wright Brothers Institute: Tec^Edge Innovation & Collaboration Center, USA. June 2014

pdf

Pseudoψence

Theory of Condensed Matter Group, University of Cambridge, UK. May 2014

pdf

Pseudoψence

Theory of Condensed Matter Group, University of Cambridge, UK. May 2014

pdf

Concurrent materials design

School of Physical Sciences, University of Kent, UK. May 2014

pdf

Concurrent materials design

School of Physics and Astronomy, University of Edinburgh, UK. May 2014

pdf

DFT design of new materials

Samsung GRO launch day, University of Cambridge, UK. April 2014

pdf

Concurrent materials design

Strategic Analysis, Arlington, USA. February 2014

pdf

Concurrent materials design

Aberdeen Proving Grounds, Maryland, USA. February 2014

pdf

The materials age

Caius Sciences Study Day, UK. February 2014
(video)

pdf

Pseudopotentials reach for the stars

Theory of Condensed Matter Group, University of Cambridge, UK. January 2014

pdf

DFT modeling research

Department of Materials Science & Metallurgy, University of Cambridge, UK. January 2014

pdf

Using pseudopotentials to study strongly correlated phases

University of Trento, Italy. December 2015

pdf

TCM Dragons' Den

University of Cambridge, UK. November 2015

pdf

Materials discovery with artificial intelligence

Lancaster University, UK. November 2015

pdf

Materials discovery with artificial intelligence

Imperial College London, UK. October 2015

pdf

Research plans over the next five years

University of Cambridge, UK. October 2015

pdf

Pseudoψence

University of Cambridge, UK. October 2015

pdf

The materials age

Gonville & Caius Summer School, UK. July 2015
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Taking materials from the lab to industry

National Centre for Universities and Business, UK. July 2015

pdf

The elemental Gordian knot

University of Cambridge, UK. April 2015

pdf

The resurrection of pseudoψence

Theory of Condensed Matter Group, University of Cambridge, UK. March 2015

pdf

Pseudizing the Hamiltonian

Quantum Winter School, University of Oxford, UK. March 2015

pdf

The materials age

Cambridge University Physics Society Access Event, UK. March 2015

pdf

A multi-particle superconductor?

University of Cambridge, UK. November 2016

pdf

Phases of itinerant matter

Graduate Lecture Series, University of Cambridge, UK. November 2016
(lecture 1)   (lecture 2)

pdf

Data validation and imputation with artificial intelligence

Lorentz Center, Netherlands. October 2016

pdf

How to succeed in the Physical Natural Sciences

Gonville & Caius College, UK. September 2016

pdf

Materials discovery with artificial intelligence

RAMS2016, University of Lancaster, UK. September 2016

pdf

Research in Theory of Condensed Matter

University of Cambridge, UK. September 2016

pdf

The materials age

Gonville & Caius Summer School, UK. July 2016
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Materials imputation with artificial intelligence

Granta Design Ltd, UK. May 2016

pdf

Materials discovery with artificial intelligence

University of Warwick, UK. May 2016

pdf

Using pseudopotentials to study strongly correlated phases

University of Oxford, UK. May 2016

pdf

Materials discovery with artificial intelligence

Today's Data Predicting Tomorrow, Loughborough University, UK. April 2016

pdf

Materials discovery with artificial intelligence

RAMM2016, Queen Mary University of London, UK. March 2016

pdf

Materials discovery with artificial intelligence

Cambridge Enterprise, UK. February 2016

pdf

Three particle Cooper pair

University of Cambridge, UK. January 2016

pdf

Materials discovery with artificial intelligence

Royal Dutch Shell plc, Amsterdam, Netherlands. December 2017

pdf

Multi-particle theory of superconductivity

University College London, UK. November 2017

pdf

Who needs science to design materials?

BenevolentAI Ltd, London, UK. November 2017

pdf

Artificial intelligence and cognitive is now

Artificial Intelligence and Cognitive Healthcare conference, UK. November 2017

pdf

Who needs science to design materials?

Surrogate Models and Coarsening Techniques workshop, IPAM, UCLA, USA. November 2017

pdf

Modelling to select molecules with optimal properties for lubricant base oils

BP-ICAM annual conference, Manchester, UK. October 2017

pdf

Drug discovery with artificial intelligence

Cambridge, UK. September 2017

pdf

Who needs atoms to design materials?

From the atom to the molecule, E-CAM workshop, UK. September 2017

pdf

Who needs atoms to design materials?

National University of Singapore. September 2017

pdf

Materials design with artificial intelligence

A*STAR Institute of High Performance Computing, Singapore. September 2017

pdf

Materials discovery with artificial intelligence

Society of Chemical Industry Materials Science Forum. September 2017

pdf

Drug discovery with artificial intelligence

Cambridge, UK. September 2017

pdf

Training deep neural networks on fragmented data

London, UK. August 2017

pdf

Training deep neural networks on fragmented data

University of Cambridge, UK. July 2017

pdf

Non-equilibrium magneto-resistance of Au-Ge

Spin Orbit Materials Conference, Luxembourg. July 2017

pdf

Time dependent resistance of GeAu

Condensed Matter in the City, UK. July 2017

pdf

Future applications of machine learning

Caius Science Networking, UK. June 2017

pdf

Special Relativity

British Physics Olympiad team, UK. June 2017

pdf

Materials design with artificial intelligence

Department of Materials, University of Oxford, UK. June 2017

pdf

The materials age

Gonville & Caius Summer School, UK. June 2017
(video 1)   (video 2)   (video 3)   (video 4)

pdf

Materials discovery with artificial intelligence

International workshop, University of Manchester, UK. May 2017

pdf

Neural networks for drug discovery

Dassault Systèmes, UK. May 2017

pdf

Multi-particle instability in an imbalanced electron gas

DPG Spring Meeting, Dresden, Germany. March 2017

pdf

Materials discovery with artificial intelligence

DPG Spring Meeting, Dresden, Germany. March 2017

pdf

A multi-particle Cooper pair?

Seminar at Imperial College London, UK. March 2017

pdf

Dragons' Den

University of Cambridge, UK. January 2017

pdf

Non-equilibrium magneto-resistance of GeAu

Frontiers in Condensed Matter Physics, Bristol, UK. January 2017

pdf

Materials discovery using deep learning

EPFL, Switzerland. December 2018

pdf

Wibbles and wobbles of the Coulomb crystal

University of Cambridge, UK. October 2018

pdf

Materials discovery using deep learning

Université Catholique de Louvain, Belgium. September 2018

pdf

The modern-day blacksmith

Engineering Materials Live, UK. September 2018

pdf

Imputation of protein activity data using deep learning

Open Data Science Conference Europe, UK. September 2018

pdf

Vibrational modes, phonons, and atomic relaxation in Diffusion Monte Carlo

ACS National Meeting, USA. August 2018

pdf

Imputation of protein activity data using deep learning

Takeda, USA. August 2018

pdf

Imputation of protein activity data using deep learning

ACS National Meeting, USA. August 2018

pdf

The modern day blacksmith

Legion Ltd, UK. August 2018

pdf

Probabilistic neural network design of an alloy for direct laser deposition

Nanyang Technological University, Singapore. August 2018

pdf

Concurrent materials design with artificial intelligence

A*STAR Institute of High Performance Computing, Singapore. July 2018

pdf

Deep learning for materials design, drug discovery, and beyond

A*STAR, Singapore. July 2018

pdf

Deep learning in materials design and drug discovery

Barclays AI Frenzy, UK. July 2018

pdf

Special Relativity

British Physics Olympiad training camp, UK. June 2018

pdf

Instability of the Coulomb crystal

Theory of Condensed Matter Group, University of Cambridge, UK. June 2018

pdf

OPTiMaDe in Cambridge

Open Databases Integration for Materials Design workshop, EPFL, Switzerland. June 2018

pdf

Learning to commercialize deep learning

Workshop on "Commercialisation of software", UK. May 2018

pdf

Intellegens: a case study on cognitive healthcare

Artificial Intelligence and Cognitive Healthcare conference, UK. April 2018

pdf

Materials discovery with artificial intelligence

Tata Steel symposium, Netherlands. March 2018

pdf

Materials discovery using deep learning

Annual research showcase, Cambridge, UK. March 2018

pdf

Probabilistic neural network design of an alloy for direct laser deposition

DPG Spring Meeting, Berlin, Germany. March 2018

pdf

Multi-particle theory of superconductivity

DPG Spring Meeting, Berlin, Germany. March 2018

pdf

Imputation of protein activity data using deep learning

Optibrium "Drug Discovery Consultants' Day", UK. March 2018

pdf

Imputation of protein activity data using deep learning

Café Synthetique, Cambridge, UK. February 2018

pdf

The metals marketplace

BenevolentAI Ltd, London, UK. February 2018

pdf

Phases of itinerant matter

Graduate Lecture Series, University of Cambridge, UK. January 2018
(lecture 1)   (lecture 2)   (lecture 3)

pdf

Anharmonic vibrations in the Coulomb crystal

Theory of Condensed Matter Group, University of Cambridge, UK. January 2018

pdf

Materials validation with artificial intelligence

Material Data Management Consortium, Los Angeles, USA. January 2018

pdf

Multi-particle instability in a spin-imbalanced Fermi gas

Frontiers in Condensed Matter Physics Conference, UK. January 2018

pdf

A guide to transformation

Panel member at Anglo American Open Forum, UK. December 2019

pdf

Deep learning for industrial formulations and materials

Invited talk, Boeing, UK. November 2019

pdf

The modern-day blacksmith

University of Cambridge, UK. November 2019

pdf

Phases of itinerant matter

Graduate Lecture Series, University of Cambridge, UK. October 2019
(lecture 1)   (lecture 2)   (lecture 3)

pdf

Advanced material design using deep learning

NSG Group, UK. October 2019

pdf

Optimisation of Material Design using Deep Learning

Advanced Engineering Show, Birmingham, UK. October 2019

pdf

Probabilistic neural network identification of an alloy for direct laser deposition

Alloys for Additive Manufacturing Symposium, Sweden. September 2019

pdf

Introduction to Intellegens at IDMBAT

Granta Design, UK. September 2019

pdf

Climbing the greasy pole with machine learning: designing lubricants

A*STAR Institute of High Performance Computing, Singapore. September 2019

pdf

Panel member

Data analytics and what it means to the Materials Community, National Academy of Sciences, USA. July 2019

pdf

The modern-day blacksmith

Data analytics and what it means to the Materials Community, National Academy of Sciences, USA. July 2019

pdf

Advanced material design using deep learning

Advanced Materials Show, Telford, UK. July 2019

pdf

Special Relativity

British and USA Physics Olympiad training camp, UK. July 2019

pdf

Tickling the Monte Carlo tail

Theory of Condensed Matter Group, University of Cambridge, UK. July 2019
(lecture 1)   (lecture 2)

pdf

Open Databases Integration for Materials Design

CECAM, Lausanne, Switzerland. June 2019

pdf

Machine learning for the design of materials, chemicals, and drugs

Department for International Trade, UK. June 2019

pdf

The modern-day blacksmith

Materials Challenges for Future Aerospace, CAMatNet, UK. April 2019

pdf

Design of an alloy for direct laser deposition using neural networks

Metalysis, UK. March 2019

pdf

Deep learning tools to predict failure types from sparse or noisy data

Digital Catapult, London, UK. February 2019

pdf

The modern-day blacksmith

Theory of Condensed Matter Group, University of Cambridge, UK. January 2019

pdf

The modern-day blacksmith

Commercialising Artificial Intelligence and Emerging Technologies in Higher Education Conference, London, UK. January 2019

pdf

Deep learning on sparse data

Life Science R&D Data Intelligence Leaders Forum, Switzerland. January 2019

pdf

Phases of itinerant matter

Graduate Lecture Series, University of Cambridge, UK. January 2019
(lecture 1)   (lecture 2)   (lecture 3)

pdf

Back to the Future for machine learning

A*STAR Institute of High Performance Computing, Singapore. January 2019

pdf

Disrupting the Production Timeline with Digitalisation and Additive Manufacturing

CeramicsUK, London, UK. December 2020

pdf

Modern day blacksmith: application of machine learning to materials and drug design

BML Munjal University, India. November 2020

pdf

Commercialisation of Research in Bioinformatics

elixir bioinformatics industry forum, London, UK. October 2020

pdf

Deploying Cerella™ for Active Learning using Deep Learning Imputation

Optibrium, UK. October 2020

pdf

Probabilistic neural network identification of an alloy for direct laser deposition

International Materials Applications & Technologies, USA. October 2020

pdf

Machine learning for battery discovery

Aggregate Intellect Science, Canada. October 2020

pdf

Machine learning for battery discovery

Boeing, USA. October 2020

pdf

Machine learning for sparse and noisy data

China Railway and Sichuan Provincial Investment Group, China. September 2020

pdf

Imputation of assay activity data using deep learning

Royal Society of Chemistry AI in Chemistry meeting, UK. September 2020

pdf

Alchemite™ Analytics

Rolls Royce, Germany. September 2020

pdf

Quantum leap for machine learning

Knowledge Transfer Network, UK. July 2020

pdf

The modern-day blacksmith

Institute of Materials, Minerals and Mining, UK. July 2020

pdf

Machine learning for sparse data

GKN demo day. June 2020

pdf

The modern-day alchemist: using machine learning to design lubricants

Webinar, BP. June 2020

pdf

Open Databases Integration for Materials Design

CECAM, Lausanne, Switzerland. June 2020

pdf

Imputation of assay activity data using deep learning

Kymab seminar. June 2020

pdf

Seven examples of how materials & chemicals companies innovate with AI

Webinar. May 2020

pdf

Machine learning for sparse data

ATI-Boeing demo day. April 2020

pdf

Imputation of assay activity data using deep learning

MilliporeSigma seminar. April 2020

pdf

Machine learning for battery discovery

LGChem seminar. April 2020

pdf

How to accelerate materials and chemicals design with AI

Webinar. April 2020

pdf

Titanium alloy for a structural heat exchanger

ATI-Boeing demo day. March 2020

pdf

The modern-day blacksmith

Department of Engineering, University of Cambridge, UK. February 2020

pdf

Advanced material design using deep learning

UK Advanced Materials Research & Investor Showcase, London, UK. February 2020

pdf

Challenges & opportunities of adopting AI in materials design

Breakfast Briefing, Cambridge, UK. February 2020

pdf

Machine learning for materials design

National Physics Laboratory, UK. January 2020

pdf

Perambulation through random numbers

A*STAR Institute of High Performance Computing, Singapore. January 2020

pdf

Introduction to Alchemite™

A*STAR Institute of High Performance Computing, Singapore. January 2020

pdf

Innovative machine learning for simulations, experiments, and beyond

Ansys, USA. December 2021

pdf

NATEP – Aerospace innovation for a post-COVID future

NATEP, UK. November 2021

pdf

The Sparse, Noisy Data Problem In Product Development, Manufacturing, and Beyond

Advanced Engineering 2021, UK. November 2021

pdf

Machine learning for additive manufacturing - Project MEDAL

Advanced Engineering 2021, UK. November 2021

pdf

Innovative machine learning for data-driven design of AM materials and processes

Materials Intelligence Day, Ansys Granta, UK. November 2021

pdf

Alchemite™ focus group

Webinar, UK. November 2021

pdf

Ontologies for machine learning driven materials design

Workshop on Ontologies for Materials-Databases Interoperability, Sweden. October 2021

pdf

Intellegens - MEDAL - Machine Learning for AM Experiential Design Algorithm

Project Dissemination Video. September 2021

pdf

Special Relativity

British Physics Olympiad team, UK. July 2021

pdf

Solving the 'small data' problem for formulations, materials, and processes

Webinar, UK. July 2021

pdf

Machine learning: a priori or a posteriori?

CECAM, Lausanne, Switzerland. June 2021

pdf

The modern day blacksmith

Theory of Condensed Matter Group, University of Cambridge, UK. June 2021

pdf

Alchemite™ focus group

Webinar, UK. June 2021

pdf

OPTIMADE in Cambridge

CECAM, Lausanne, Switzerland. June 2021

pdf

The modern day blacksmith

IOM3 Material Informatics Webinar, UK. May 2021

pdf

A melting pot for data: machine learning for materials design and beyond

Department of Engineering, University of Cambridge, UK. April 2021

pdf

Research commercialization in Cambridge

Cambridge Phenomenon Program, China. March 2021

pdf

Deep learning for additive manufacturing

Baker Hughes, USA. March 2021

pdf

Innovation through collaboration panel discussion

p2i Enterprise Fair, UK. March 2021

pdf

Deep learning for materials development and additive manufacturing

Webinar, UK. February 2021

pdf

The modern day alchemist

Gonville & Caius College, UK. February 2021

pdf

The modern day blacksmith

Theory of Condensed Matter Group, University of Cambridge, UK. January 2021

pdf

Modern day blacksmith

University of Cambridge, UK. October 2022

pdf

The modern day blacksmith

HPC Autumn Academy, UK. September 2022

pdf

インテレジェンズ 応用機械学習

National Institute for Materials Science, Japan. September 2022

pdf

インテレジェンズ 応用機械学習

Global Business Innovation Programme, Ambassador's Residence, Japan. August 2022

pdf

インテレジェンズ 応用機械学習

Global Business Innovation Programme, Biritsh Embassy, Japan. August 2022

pdf

Metamaterials genome: lessons from OPTIMADE

MetaMaterial Genome Workshop, Durham, UK. July 2022

pdf

Ep 13. Artificial Intelligence and Machine Learning

Podcast, Goodfellow, UK. July 2022

pdf

New Products in Less Time: Fast Experimentation Through Machine Learning

Discovery on Steroids: How AI Will Speed up Innovation, Gottlieb Duttweiler Institute, Switzerland. July 2022

pdf

Special Relativity

British Physics Olympiad training camp, UK. July 2022

pdf

Turning uncertainty into good decisions for chemical, materials, and formulations R&D

Webinar, UK. June 2022

pdf

Alchemite™ focus group

Webinar, UK. June 2022

pdf

OPTIMADE Cambridge update

CECAM, Lausanne, Switzerland. June 2022

pdf

Modelling and AI Design

UK Metamaterials Network Conference 2022. May 2022
Notes

pdf

The modern-day blacksmith

Cambridge Graphene Centre, UK. May 2022

pdf

Applied machine learning to accelerate development of formulations and chemical processes

CHEMUK 2022. May 2022

pdf

The modern day blacksmith

Scholarship Conference, UK. March 2022
Notes

pdf

Towards net zero with machine learning: battery and materials development

AIUK 2022, UK. March 2022

pdf

Machine learning: a priori or a posteriori?

Theory of Condensed Matter Group, University of Cambridge, UK. March 2022

pdf

The modern-day blacksmith

Department of Radiology, Addenbrooke’s Hospital, UK. March 2022

pdf

Alchemite™ machine learning

Ansys, USA. March 2022

pdf

The modern-day blacksmith

AI: Facts, Fictions, Futures, Loughborough University, UK. January 2022

pdf

The modern-day blacksmith

2023 TMS Annual Meeting & Exhibition, USA. March 2023

pdf

Machine learning for data-driven design of AM materials and processes

Advances in Structural Alloys and Their Manufacturing, Singapore. January 2023