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DTSTART;TZID=UTC:20260311T000000
DTEND;TZID=UTC:20260415T235959
DTSTAMP:20260410T203654
CREATED:20260209T105627Z
LAST-MODIFIED:20260209T110744Z
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SUMMARY:Patenting AI & Materials: IP Webinars
DESCRIPTION:KEY DETAILS\n\n\n\n\nWEBINAR 1: IP FUNDAMENTALS DATE & TIME11 march 2026\, 14:00 – 15:00 WEBINAR 2: STRATEGIC IP DATE & TIME15 APRIL 2026\, 14:00 – 15:00 \n\n\n\nWEBINAR 1 Register HERE\n\n\n\nWEBINAR 2 Register HERE\n\n\n\n\n\n\n\n\nJoin Keltie LLP patent attorneys Dr Monica Patel and Dr Emily Weal for a two-part webinar series on protecting innovation at the intersection of AI and materials science. The sessions will guide researchers\, innovators and start-ups through IP fundamentals\, patenting strategies\, and practical tools for recognising and protecting commercially valuable ideas in AI-enabled materials discovery. \n\n\n\nWEBINAR 1: IP FUNDAMENTALS \n\n\n\nThis webinar will introduce the fundamentals of IP for researchers and innovators working at the intersection of AI and materials. The session will cover the differences between patents\, registered designs and trade marks\, how the patent process works in the UK and internationally\, and what typical hurdles to patentability look like in practice. The session will showcase real examples of patentable technologies in materials science and AI\, and highlight how AI-driven approaches are being applied to materials discovery and development. The webinar is designed for a broad audience\, and no prior knowledge of IP or patents is required. \n\n\n\nWEBINAR 2: STRATEGIC IP \n\n\n\nThis webinar will build on these foundations to focus on how to recognise and protect commercially valuable ideas in AI and materials. The session will cover how to identify patentable inventions in your research\, principles of strategic patent drafting for data-driven and AI-enabled materials innovations\, and common IP ownership and collaboration pitfalls in multi-partner projects. The session will also cover an introduction to competitor patent searching and patent landscaping techniques\, and practical IP tips tailored for start-ups and spin-outs emerging from the AI and materials ecosystem. While open to all\, attendees will benefit from having joined Webinar 1 or having a basic familiarity with core IP concepts. \n\n\n\n\n\nSpeakers\n\n\n\n\n\nDr Monica PatelSenior Associate\, Keltie LLP\n\n\n\n\n\nDr Emily WealPartner\, Keltie LLP
URL:https://aichemy.ac.uk/event/patenting-ai-materials-ip-webinars-keltiellp/
CATEGORIES:Webinar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260413T000000
DTEND;TZID=UTC:20260417T235959
DTSTAMP:20260410T203654
CREATED:20251027T135314Z
LAST-MODIFIED:20251114T123044Z
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SUMMARY:CaMMLs - Chemical and materials machine learning school 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE & TIME13th April – 17th April 2026 COST£250 APPLICATION DEADLINE26th November 2025 \n\n\n\napply Here\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nSTFC Daresbury LabKeckwick Ln\, Daresbury\, Warrington WA4 4AD \n\n\n\n\n\n\n\n\nDescription\n\n\n\nThis machine learning for materials training course is being run by AIchemy Hub in collaboration with Physical Sciences Data Infrastructure (PSDI) initiative with support from STFC-SCD\, PSDS\, CCP5 and CCP9. This training is targeted towards PhD students\, in particular those in the Materials and Molecular Simulations field\, who have experience of coding but are not highly experienced with machine learning. The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials. \n\n\n\nThis training will encompass a number of talks and practical sessions\, focusing on the basics of machine learning\, machine learning interatomic potentials and graph neural networks. There will also be the opportunity for attendees to present a poster on their work. \n\n\n\nLearning outcomes\n\n\n\n\nAwareness of the state-of-the-art methods for machine learning for atomistic and molecular simulations\n\n\n\nHands on experience of using machine learning for atomistic and molecular simulations\n\n\n\n\nOutline Agenda – Draft\n\n\n\nSessionsMondayTuesdayWednesdayThursdayFridayMorning  DescriptorsNNsMLIPs generalGenerative modelsAfternoonIntro to MLBayesian OptimisationGNNsMLIPs – molecules/ materials EveningPostersResearch Seminar – Ruby Sedgwick – XymeBBQResearch Seminar – Venkat Kapil – UCL \n\n\n\nPre-requisites\n\n\n\nStudents attending this course must already have a foundational level of Python experience and hands on experience of using Python in their research. You will be expected to provide your own laptop for the training course\, although software installation will not be required. A letter of support will be required from your supervisor alongside your application\, this will be requested by email following your application. This letter of support is to show the backing of your supervisor to attend the training and must be completed for your application to be assessed.  \n\n\n\nTimelines & Fees\n\n\n\nThe application deadline is 26th November 2025. Supervisors will be contacted for a letter of support following you application. All letters of support must be submitted by 6th December 2025. \n\n\n\nYou will be informed of the outcome of your application on 19th December 2025\, you will have to accept your place by 15th January 2026 and payment is required by 13th February 2026.  \n\n\n\nFood and 4 nights accommodation (Travelodge Warrington) is included in the £250 fee paid for this event\, travel to Daresbury (and public transport to /from the lab) is not included and will need to be covered by the attendee.  \n\n\n\nPlease note: places on this course are limited and in the event of oversubscription to the training course we will favour a diverse group of attendees.   \n\n\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubCaMMLSDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr. Chris Mellor (Imperial)Aysel Sarzosa Llerena (Imperial)Alin-Marin Elena (Scientific Computing Department\, STFC) Keith Butler (University College London)Reinhard Maurer (University of Vienna)Alex Ganose (Imperial)Ioan-Bogdan Magdău (Newcastle University)Nicola Knight (University of Southampton)
URL:https://aichemy.ac.uk/event/cammls-chemical-and-materials-machine-learning-school-2026/
CATEGORIES:Training School
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260422T140000
DTEND;TZID=UTC:20260422T150000
DTSTAMP:20260410T203654
CREATED:20260325T142551Z
LAST-MODIFIED:20260327T100048Z
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SUMMARY:AIchemy’s Monthly Webinar Series – April 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE22nd April 2026 TIME14:00 – 15:00 COSTFree LOCATIONOnline MS Teams \n\n\n\nREGISTER HERE\n\n\n\n\n\n\n\n\nWe are delighted to welcome you to our AIchemy Hub’s monthly webinar series. \n\n\n\nThis month’s talks: \n\n\n\nProf. Lilo D. Pozzo – University of Washington \n\n\n\nTalk Title: AI-Driven Experiments and Open-Source Automation for Accelerated Soft Matter Research \n\n\n\nArtificial intelligence (AI)\, when paired with accessible laboratory automation\, can greatly accelerate materials optimization and scientific discovery. For example\, it can be used to efficiently map a phase-diagram with intelligent sampling along phase boundaries\, or in ‘retrosynthesis’ problems where a material with a target structure is desired but a synthetic route is not known. These approaches are especially promising in soft matter systems\, including block copolymer self-assembly\, nanoparticle synthesis\, and controlled colloidal assembly. In these systems\, design parameters (e.g. chemical composition\, MW\, topology\, processing) are vast\, history-dependent metastable and ‘out-of-equilibrium’ structures are common\, and functional properties are intimately tied to molecular design features and processing conditions. In addition\, for AI algorithms to operate efficiently in these spaces\, they must be ‘encoded’ with domain expertise specific to the problems being tackled. This talk will cover recent advances in accelerated materials research involving polymeric and soft-matter systems including dispersions and colloids. It will also outline remaining challenges and future opportunities. \n\n\n\nShort Biosketch: \n\n\n\nProf. Pozzo’s research interests are in the area of colloids\, polymers and soft-matter systems. Her research group focuses on controlling and manipulating materials structure for applications in healthcare\, alternative energy and sustainability. Her group also develops and utilizes laboratory automation and artificial intelligence (AI) to accelerate the development time-scales of new materials and applies advanced techniques based on neutron and x-ray scattering to characterize their nanostructure. Prof. Pozzo obtained her B.S. from the University of Puerto Rico at Mayagüez and her PhD in Chemical Engineering from Carnegie Mellon University in Pittsburgh PA. She also worked at the NIST Center for Neutron Research as a post-doctoral fellow and is currently the Boeing-Roundhill Chair Professor of Chemical Engineering at the University of Washington where she has served since 2007. She has been recognized with awards such as the Early Career Award from the Department of Energy\, the Clean Energy Empowerment and Education Award (C3E) from DOE\, and the Anne Mayes Award from the Neutron Scattering Society of America (NSSA). In addition to her research activities\, she is also dedicated to improving engineering education with course development in areas of entrepreneurship and service-oriented global engagement. \n\n\n\nJiyizhe Zhang – The University of Manchester \n\n\n\nTalk Title: Developing sustainable separation processes with AI \n\n\n\nChemical separations have long been essential to human society\, yet the separation of complex mixtures often remains lengthy and costly. Liquid-liquid extraction\, as a separation technology\, has wide applications in pharmaceuticals\, bioprocessing\, critical mineral recovery\, and nuclear waste treatment. Despite its widespread use\, many of the underlying physicochemical phenomena in liquid-liquid systems are not fully understood\, and the process development still relies heavily on shake-flask experiments as decades ago. This talk will present emerging technologies to accelerate separation process development through artificial intelligence\, automation\, and process modelling. Key challenges and future opportunities for digitalising separation science will be discussed. \n\n\n\n\n\nSpeakers\n\n\n\n\n\nProf. Lilo D. Pozzo Professor of Chemical Engineering\n\n\n\n\n\nJiyizhe Zhang Lecturer in Chemical Engineering\n\n\n\n\n\nTahereh Nematiaram – Webinar Chair Chancellor’s Fellow
URL:https://aichemy.ac.uk/event/aichemys-monthly-webinar-series-april-2026/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260513T090000
DTEND;TZID=UTC:20260513T180000
DTSTAMP:20260410T203654
CREATED:20260211T154100Z
LAST-MODIFIED:20260216T094635Z
UID:7352-1778662800-1778695200@aichemy.ac.uk
SUMMARY:Applications of AI for Catalysis and Energy Materials Discovery
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE13th May 2026 TIME09:00 – 18:00 COST£25* Registration fee may be covered if required\, please contact us.   \n\n\n\nbook now\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nMolecular Sciences Research Hub (MSRH)\,  Imperial College London82 Wood Ln\, London W12 0BZ \n\n\n\n\n\n\n\n\nJoin us for a one-day symposium bringing together researchers working in catalysis and energy materials with AI experts developing and applying machine learning methods in this space.  \n\n\n\nThe programme features talks from leading researchers across chemistry\, materials science\, and AI\, showcasing real-world applications of data-driven approaches in catalysis\, interfaces\, electrolytes\, membranes\, and energy materials. \n\n\n\nThe day will combine invited talks\, discussion\, and dedicated networking time\, providing opportunities to share ideas\, learn about emerging methods\, and spark new interdisciplinary collaborations across experimental\, computational and machine learning research in the area of catalysis and energy materials. \n\n\n\nWho Should Attend:\n\n\n\nThis symposium is designed for: \n\n\n\n\nAcademics and researchers in catalysis\, interfaces\, and energy materials who are interested in applying AI and machine learning to enhance\, accelerate\, or expand their research.\n\n\n\nAI and machine learning experts looking to apply novel computational approaches to challenges in catalysis\, reaction engineering\, molecular discovery\, and energy‑relevant materials.\n\n\n\n\nWhether your work is experimental\, theoretical\, computational\, or method‑development‑focused\, this event offers a unique opportunity to build connections across disciplines and gain insights into the rapidly evolving intersection of AI\, catalysis\, and materials discovery. \n\n\n\nFull Agenda coming soon. \n\n\n\n\n\nSpeakers:\n\n\n\n\nProf. Evgeny Pidko – Delft University of Technology (TU Delft)\n\n\n\nProf. Fernanda Duarte – University of Oxford\, Department of Chemistry\n\n\n\nProf. Jacqui Cole – University of Cambridge\n\n\n\nDr. James Dawson – Newcastle University\n\n\n\nProf. James Durrant – University of Oxford\n\n\n\nProf. Maria Lukatskaya – ETH Zürich\n\n\n\nDr. Ricardo Grau‑Crespo – Queen Mary University of London\n\n\n\nDr. Qilei Song – Imperial College London\n\n\n\n\n\n\nRegistration Fee:\n\n\n\nIf the registration fee would otherwise prevent you from attending\, please don’t let this deter you\, just get in touch with us to discuss support. Contact details:Aysel Sarzosa (asarzosa@ic.ac.uk) or Chris Mellor (c.mellor@imperial.ac.uk). \n\n\n\nIn addition\, if you have caring responsibilities that may affect your ability to attend\, take a look at our Conference Care Fund and get in touch to see how we can support you to attend. \n\n\n\n\n\n\n\n\n\nOrganised by:\n\n\n\nDr Maryam Mansoori Kermani\, MSCA Fellow at Imperial College London with the support of AIchemy Hub – Project Team.
URL:https://aichemy.ac.uk/event/applications-of-ai-for-catalysis-and-energy-materials-discovery/
CATEGORIES:Symposium,Workshop
ATTACH;FMTTYPE=image/png:https://aichemy.ac.uk/wp-content/uploads/2026/02/Applications-of-AI-for-Catalysis-and-Energy-Materials-Discovery-Symposium.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260602T090000
DTEND;TZID=UTC:20260602T170000
DTSTAMP:20260410T203654
CREATED:20260220T114907Z
LAST-MODIFIED:20260224T133917Z
UID:7844-1780390800-1780419600@aichemy.ac.uk
SUMMARY:ECR Exchange: Scotland 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE2 JUNE 2026 TIME09:00 – 17:00 COSTFREE ABSTRACT SUBMISSION DEADLINE27 APRIL 2026 REGISTRATION DEADLINE12 MAY 2026 \n\n\n\nbook now\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF STRATHCLYDETechnology and Innovation Centre\, 99 George Street\,  Glasgow\, G1 1RD \n\n\n\n\n\n\n\n\nThe AIchemy ECR Exchange is primarily aimed at Early Career Researchers across the UK\, including PhD students and postdoctoral researchers working at the intersection of AI and Chemistry. While Scotland-focused\, the event welcomes participants from further afield who are keen to contribute to and engage with a growing research community. This Exchange is designed to connect emerging researchers\, create space for meaningful networking\, and encourage open knowledge sharing. By bringing together ECRs working across disciplines\, the event aims to spark new collaborations and lay the groundwork for future collaboration opportunities.Through engagement with industry speakers and partners\, attendees will gain insight into real-world challenges and translational pathways\, helping to shape and focus their research and future career development. \n\n\n\n\n\n\n\nCall for Lightning Talk Abstracts \n\n\n\nWe invite submissions of oral and poster abstracts from researchers working across all areas at the intersection of AI and Chemistry\, including interdisciplinary and applied research. This is an opportunity for ECR’s\, PhD students and postdoctoral researchers to showcase their work to a focused audience of peers\, academic leaders\, and industry representatives working at the AI and chemistry interface. Selected applicants will be invited to deliver an oral presentation as part of the main programme\, providing a platform to share their research\, receive feedback\, and spark potential collaborations. There will also be the opportunity to present a poster\, creating additional space for discussion\, networking\, and deeper engagement with attendees. Abstract submission deadline: 27th April \n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThe AIchemy ECR Exchange is primarily aimed at Early Career Researchers\, including: \n\n\n\n\nPhD students\n\n\n\nPostdoctoral researchers\n\n\n\nEarly Career Independent Academic\n\n\n\n\nThe event is relevant but not limited to those interested in the application or development of AI for accelerated chemistry and materials discovery. Participation is open to researchers from across the UK who are keen to collaborate and engage with Scotland’s research community. \n\n\n\nWhat you’ll gain: \n\n\n\n\nOpportunities to present and discuss their research\n\n\n\nDedicated networking to encourage future collaborations\n\n\n\nInsight from industry speakers on real-world challenges\n\n\n\nExposure to potential pathways for research impact and funding\n\n\n\n\n\n\nSpeakers– To be Announced\n\n\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubUniversity of StrathclydeDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Tahereh NematiaramDr Yashar Moshfeghi
URL:https://aichemy.ac.uk/event/ecr-exchange-scotland-2026/
CATEGORIES:Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260618T170000
DTEND;TZID=UTC:20260618T210000
DTSTAMP:20260410T203654
CREATED:20260407T072353Z
LAST-MODIFIED:20260407T072355Z
UID:8110-1781802000-1781816400@aichemy.ac.uk
SUMMARY:Science in the City: An Evening of AI
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE18 JUNE 2026 TIME17:00 – 21:00 COSTFREE \n\n\n\nbook now\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nTHE SPINE BUILDING2 Paddington Village\, Liverpool L7 3FA \n\n\n\n\n\n\n\n\nStep into the world of AI and see how it’s shaping science\, healthcare\, and innovation across Liverpool and the UK. From groundbreaking research at the University of Liverpool to real-world applications in our city region\, this event brings science to life for a community that takes pride in Liverpool’s innovation\, collaboration\, and world-class research. Meet researchers and take part in discussions with experts\, ask your questions\, share your ideas\, and see how AI is being used responsibly to make a positive impact. This event is open to everyone\, whether you’re a researcher\, city resident\, alumni or just curious about how AI is shaping the future. Enjoy a welcoming reception before and after the event\, the perfect time to meet fellow attendees\, spark conversations\, and celebrate Liverpool’s thriving research community.Please Note: Registration to this event is essential \n\n\n\n\n\n\n\nWhat you’ll gain: \n\n\n\n\nExplore how AI is driving breakthroughs in science.\n\n\n\nEngage directly with experts in Q&A sessions.\n\n\n\nCelebrate and support our city’s research excellence.\n\n\n\n\nNo prior experience in AI is required\, just curiosity and a desire to be part of the talent\, dedication\, and pride that Liverpool brings to the forefront of scientific discovery. \n\n\n\n\n\n\n\nEvening Programme: \n\n\n\n5:00 – 6:00pm | Arrival & Welcome ReceptionJoin us for a relaxed welcome with refreshments. Meet fellow attendees and start the conversation in an informal setting overlooking Liverpool’s vibrant skyline.6:00 – 8:00pm | AI Across the Sciences – Speaker Sessions & DiscussionHear from leading voices in AI and scientific research as they explore how artificial intelligence is advancing materials chemistry\, drug discovery\, healthcare\, and more. Each session will include opportunities for questions and audience interaction.8:00 – 9:00pm | Conversations & Community ReceptionContinue the discussion over refreshments. Connect with researchers\, alumni\, and partners\, and be part of the growing AI and science community shaping Liverpool’s future. \n\n\n\n\n\nSpeakers\n\n\n\n\n\nProfessor Andy CooperUniversity of Liverpool\n\n\n\n\n\nProfessor Katie AtkinsonUniversity of Liverpool\n\n\n\n\n\nDr Alex BattyClatterbridge Cancer Centre\n\n\n\n\n\nDr Gabriella PizzutoUniversity of Liverpool\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University\, The Spine Building and the recommended hotel. \n\n\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)
URL:https://aichemy.ac.uk/event/science-in-the-city-an-evening-of-ai/
CATEGORIES:Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260721T090000
DTEND;TZID=UTC:20260721T170000
DTSTAMP:20260410T203654
CREATED:20260206T072607Z
LAST-MODIFIED:20260211T131150Z
UID:7121-1784624400-1784653200@aichemy.ac.uk
SUMMARY:Gen AI In Chemistry Education
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE21 JULY 2026 TIME09:00 – 17:00 COST£25 LIGHTNING TALK SUBMISSION DEADLINE1 MAY 2026 REGISTRATION DEADLINE3 JULY 2026 \n\n\n\nREGISTration Open\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LIVERPOOLCentral Teaching Labs \n\n\n\n\n\n\n\n\nThis UK national symposium brings together chemistry educators\, students\, and policy leads to accelerate the integration of Generative AI (GenAI) methods in chemistry education. Building on last year’s event\, the focus moves decisively beyond abstract debate toward classroom-ready practice\, shared resources\, and cross-institutional learning.Aligned with the AIchemy Hub mission\, the workshop will advance the UK-wide conversation through three interconnected themes that reflect real teaching\, learning\, and institutional needs: \n\n\n\nPractical implementation of GenAI in chemistry teaching and laboratoriesExplore how AI can be meaningfully embedded into undergraduate teaching and laboratory practice. Sessions will focus on the co-design of AI-integrated experiments\, inclusive laboratory tools\, and transferable teaching resources. Participants will contribute to shaping a shared repository of AI-enabled laboratory and assessment activities. \n\n\n\nAI in assessment\, feedback\, and curriculum designExamine how AI can act as a co-pilot for educators\, supporting assessment design\, feedback generation\, curriculum review\, and bias reduction. This theme supports the development of shared tools and best practice to help bridge the AI–chemistry skills gap for both staff and students. \n\n\n\nInstitutional strategy\, policy\, and ethics grounded in real practiceEngage with institution-level strategies and ethical frameworks for the responsible use of GenAI in chemistry education. By comparing approaches across UK universities\, this strand will highlight shared principles\, practical challenges\, and transferable exemplars to support ethical implementation in teaching and assessment. \n\n\n\n\n\n\n\nCall for Lightning Talk Abstracts \n\n\n\nWe invite submissions for short lightning talks that showcase practical and innovative uses of AI in chemistry education. This is an opportunity to share your practice\, ideas\, and lessons learned with colleagues from across the UK\, and to contribute to a growing national conversation on how AI is shaping chemistry teaching and learning. We particularly welcome abstracts featuring case studies from teaching practice\, AI-enabled laboratory experiments\, assessment and feedback approaches\, curriculum design initiatives\, and student–staff co-created projects.During registration\, you will be able to indicate your interest in giving a lightning talk and submit a short abstract\, after which the organising team will be in touch with further details. The deadline for lightning talk submissions is 1 May 2026. \n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is aimed at academics working in chemistry with an interest in teaching and education\, as well as teachers and staff from colleges and secondary schools who want to better understand future university pathways for their students. It will also be valuable for anyone seeking insight into how artificial intelligence is shaping the next generation of chemistry education across the UK. \n\n\n\nWhat you’ll gain: \n\n\n\n\nGain insight into the current UK higher-education curriculum landscape for AI in chemistry\n\n\n\nUnderstand how GenAI is being implemented across undergraduate and postgraduate taught courses\, in both lectures and laboratories\n\n\n\nExplore challenges\, risks\, and opportunities in real-world adoption\n\n\n\nDevelop ideas for new lab-based experiments and training using AI methods such as machine learning (ML)\, convolutional neural networks (CNNs)\, and Bayesian optimisation (BO)\n\n\n\n\n\n\nSpeakers– To be Announced\n\n\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubUniversity of WarwickUniversity of GlasgowDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr. Chris Mellor (Imperial)Aysel Sarzosa Llerena (Imperial)Tom RitchieDr Dani PearsonDr Ciorsdaidh Watts
URL:https://aichemy.ac.uk/event/gen-ai-in-chemistry-education/
CATEGORIES:Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260901T090000
DTEND;TZID=UTC:20260903T170000
DTSTAMP:20260410T203654
CREATED:20260313T125151Z
LAST-MODIFIED:20260330T111839Z
UID:8245-1788253200-1788454800@aichemy.ac.uk
SUMMARY:Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) Workshop
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE1 -3 SEPTEMBER 2026 TIME09:00 – 17:00 COST£75 – ACADEMIA £150 – INDUSTRY REGISTRATION DEADLINE14 AUGUST 2026 \n\n\n\nApply Now\n\n\n\nagenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LIVERPOOLMaterials Innovation Factory\, 51 Oxford St\, Liverpool\, L7 3NY \n\n\n\n\n\n\n\n\nAbout the Workshop\n\n\n\nThe Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) workshop held at University of Liverpool offers a practical guide to different AI techniques that can be applied to accelerate or complement research in homogeneous catalysis. It is especially recommended for experimental and computational chemists with basic or no Python programming experience. The classes aim to provide these researchers with ready-to-use workflows that they can introduce into their routine research tasks. Some of the protocols covered include: \n\n\n\n\nBasics of Python and cheminformatics\n\n\n\nAutomated descriptor generation from ChemDraw and CSV files\n\n\n\nData-driven and efficient chemical exploration for catalyst sampling\n\n\n\nAI-driven optimization of reaction conditions\n\n\n\nAI-driven catalyst discovery\n\n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is aimed at experimental and computational chemists working in homogeneous catalysis with little or no experience in Python. The workshop is suitable for the following career stages: PhD students\, postdoctoral researchers and Early Career Academics. \n\n\n\n\n\n\n\nPre-Requisites: \n\n\n\nTo help you get the most from the workshop\, please ensure the following are completed in advance: \n\n\n\n\nAttendees must bring their own laptops to run the programs used during the workshop. Windows\, macOS and Linux operating systems are supported.\n\n\n\nComplete a preliminary setup to install the required Python environments. Instructions will be provided a few weeks before the workshop and should take 30-60 minutes to complete.\n\n\n\n(Optional) Share custom problems in advance that could be included in the problem-solving sessions. This will allow the workshop to focus on topics that are most relevant to the audience\n\n\n\n\n\n\nHow to apply\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 26th June 2026 and decisions will be given to applicants by 10th July 2026.Please note: all bookings are non-refundable. \n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the ChemAICat Workshop.We are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities.A social networking event will be hosted on one evening (day to be confirmed) during the school and is included in the registration.For those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University.Liverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.Manchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options. \n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse Supervisors\n\n\n\nDr. Jamie Cadge (University of Bath) \n\n\n\nDr. Ruben Laplaza (IIQ\, University of Seville-CSIC) \n\n\n\nDr. Thijs Stuyver (PSL University) \n\n\n\nDr. Juan V. Alegre-Requena (ISQCH\, University of Zaragoza-CSIC) \n\n\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubUniversity of LiverpoolCourse SupervisorsDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Jean-Francois AymeDr. Jamie Cadge (University of Bath)Dr. Ruben Laplaza (IIQ\, University of Seville-CSIC)Dr. Thijs Stuyver (PSL University)Dr. Juan V. Alegre-Requena (ISQCH\, University of Zaragoza-CSIC)
URL:https://aichemy.ac.uk/event/chemical-artificial-intelligence-in-homogeneous-catalysis-chemaicat/
CATEGORIES:Symposium
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DTSTART;TZID=UTC:20261123T000000
DTEND;TZID=UTC:20261127T235959
DTSTAMP:20260410T203654
CREATED:20260220T124659Z
LAST-MODIFIED:20260223T110627Z
UID:7897-1795392000-1795823999@aichemy.ac.uk
SUMMARY:Winter School: Robotics and AI for Materials Chemistry 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23 – 27 NOVEMBER 26 ACADEMIC PARTICIPANTS£150 INDUSTRY PARTICIPANTS£300 \n\n\n\nAPPLY HERE\n\n\n\n agenda COMING SOON\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nNovotel Hotel\, University of Liverpool Campus3 Paddington Village\, Liverpool\, L69 7ZD \n\n\n\n\n\n\n\n\nThe Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry\, robotic systems\, and AI-driven scientific discovery. Hosted at the University of Liverpool\, the school is designed for PhD students and early-career researchers\, or those new to digital chemistry and AI\, and who want to build their capabilities in this rapidly evolving field. A strong working knowledge of Python is required to fully benefit from the practical sessions and technical content. \n\n\n\nThis Robotics and AI for Materials Chemistry Winter School will: \n\n\n\n\nProvide essential skills in digital chemistry\n\n\n\nStrengthen understanding of AI and machine learning\, building on participants’ existing knowledge\n\n\n\nOffer hands-on experience with key tools and techniques for automated\, intelligent lab environments\n\n\n\n\nParticipants will explore a range of cutting-edge topics\, including: \n\n\n\n\nDigital twins for robotic chemists\n\n\n\nBayesian optimisation for chemical discovery\n\n\n\nAI-driven robotic chemists\n\n\n\nRobotic manipulation for lab automation\n\n\n\nSimulation of robotic chemists\n\n\n\nComputer vision-led chemistry\n\n\n\nMulti-modal machine learning for science\n\n\n\nAgentic AI-based discovery\n\n\n\nHuman-in-the-loop robotic discovery\n\n\n\n\nAfter a hugely successful 2025 Winter School\, we’re delighted to bring it back for 2026. Take a look at last year’s programme and highlights to see what to expect. \n\n\n\n\n\nProvisional Programme – Coming Soon\n\n\n\n\n\n\n\nSpeakers – To be announced\n\n\n\n\n\n\n\n \n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the Winter School. \n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nA social networking event will be hosted on one evening during the school and is included in the registration. \n\n\n\nFor those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports:\n\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.\n\n\n\nManchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options.\n\n\n\n\n\n\n\n\nHow to Apply:\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 24th August 2026 and decisions will be given to applicants by 31st October 2026. \n\n\n\nPlease note: all bookings are non-refundable. \n\n\n\n\n\n\n\nContact details:\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk. \n\n\n\n\n\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubUniversity of LiverpoolDr. Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Gabriella PizzutoDr Xenofon EvangelopoulosProf. Alessandro TroisiMinh CaoDr Mengjia ZhuDr Xin Yang
URL:https://aichemy.ac.uk/event/winter-school-robotics-and-ai-for-materials-chemistry-2026/
CATEGORIES:Training School
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