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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 
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This is a superlist of research seminars in Cambridge open to all interested researchers. Weekly extracts of this list (plus additional talks not yet on talks.cam) are emailed to a distribution list of over 200 Cambridge researchers by Research Services Division. To join the list click here https://lists.cam.ac.uk/mailman/listinfo/biophy-cure For more information see http://www.cure.group.cam.ac.uk or email drs45[at]rsd.cam.ac.uk
Updated: 42 min 2 sec ago

Thu 10 Apr 13:00: Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Fri, 21/03/2025 - 12:06
Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

This Cambridge Immunology and Medicine Seminar will take place on Thursday 4 April 2025, starting at 4:00pm, in the Ground Floor Lecture Theatre, Jeffrey Cheah Biomedical Centre (JCBC)

Speaker: Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Title: TBC

Host:

Refreshments will be available following the seminar.

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Thu 17 Jul 17:00: Cambridge RNA Club - ONLINE

Thu, 20/03/2025 - 14:17
Cambridge RNA Club - ONLINE

Abstract not available

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Thu 19 Jun 17:00: Cambridge RNA Club - IN PERSON

Thu, 20/03/2025 - 14:15
Cambridge RNA Club - IN PERSON

Abstract not available

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Thu 22 May 17:00: Cambridge RNA Club - IN PERSON

Thu, 20/03/2025 - 14:14
Cambridge RNA Club - IN PERSON

Abstract not available

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Fri 21 Mar 17:00: Surgical data using LLMs

Thu, 20/03/2025 - 12:58
Surgical data using LLMs

Abstract not available

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Fri 13 Jun 14:00: Title to be confirmed

Thu, 20/03/2025 - 11:30
Title to be confirmed

Peter C. Collins joined the Department of Materials Science and Engineering at Iowa State University in July, 2015. Dr. Pete Collins received his undergraduate degree in Metallurgical Engineering from the University of Missouri-Rolla, and his MS and PhD from The Ohio State University in Materials Science and Engineering. Prior to joining ISU , Dr. Collins served as a faculty member and undergraduate coordinator in the Department of Materials Science and Engineering at the University of North Texas. Dr. Collins has also spent time standing-up a not-for-profit 501-3© manufacturing laboratory, and regularly engages with both industry and the government. His experiences and interests involve the practical and theoretical treatments of microstructure-property relationship, with an extension into composition-microstructure-property relationships derived for complex multi-phase, multi-component engineering alloys. He has extensive experience in participating in large industrial programs, has conducted studies into novel metal matrix composites, and has significant research experience with additive manufacturing techniques, and combinatorial materials science. Dr. Collins is an active member of TMS , past chairman of the ICME committee, member of the Titanium committee, and a member of the Materials Processing and Manufacturing Division. In recent years, Collins and his group have been actively involved in developing and building new types of instrumentation and experiments. These include developing the first 3D SRAS (spatially resolved acoustic spectroscopy) microscope, bicombinatorial techniques, reduced-cost wire-fed metal AM systems, and other techniques aimed at characterizing defects in additive manufactured materials.

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Fri 28 Mar 13:00: Democratizing Carbon Markets: A Blockchain-Based Emission Trading System for Small and Large-Scale Stakeholders in Brazil

Thu, 20/03/2025 - 10:50
Democratizing Carbon Markets: A Blockchain-Based Emission Trading System for Small and Large-Scale Stakeholders in Brazil

Abstract

The integration of blockchain technology into carbon markets offers a unique opportunity to create more transparent, inclusive, and efficient trading mechanisms. This presentation introduces a novel Blockchain Emission Trading System (BETS) model designed to align with Brazil’s new carbon market legislation (Law 15042/2024), ensuring that both large landholders and small rural producers can participate fairly. Our approach leverages official land registries, such as SICAR , to create spatially and temporally verifiable carbon credits, preventing fraud and double counting while enabling greater accessibility for smaller stakeholders who often struggle to enter regulated markets. By decentralizing the issuance and trading of carbon credits, our model aims to reduce intermediaries, lower costs, and promote broader participation, ultimately fostering a more equitable environmental and economic transition. Through a systematic mapping study, we identify key challenges and research directions for blockchain-based carbon markets and propose a framework that ensures compliance with national and international standards while prioritizing social and economic inclusivity.

Bio

Jean is a professor at the Federal University of Santa Catarina (UFSC) in Brazil, specializing in information security, blockchain technology, and electronic documents. He holds a PhD in Computer Science from the University of Cambridge, where his research focused on cryptographic protocols and secure execution of code. Over the years, he has worked extensively on the development of blockchain-based solutions, particularly in the areas of digital identity, electronic signatures, and regulatory compliance. His recent work explores the use of blockchain to improve transparency, security, and inclusivity in digital ecosystems, including its application in carbon markets and sustainable finance.

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Wed 26 Mar 15:30: A Bayesian Neural Network approach to study dissolved oxygen in Southern Ocean water masses

Wed, 19/03/2025 - 15:58
A Bayesian Neural Network approach to study dissolved oxygen in Southern Ocean water masses

Oxygen plays a critical role in the health of marine ecosystems. As oceanic O2 concentration decreases to hypoxic levels, marine organisms’ habitability decreases rapidly. However, identifying the physical patterns driving this reduction in dissolved oxygen remains challenging. This study employs a Bayesian Neural Network (BNN) to analyze the uncertainty in dissolved oxygen forecasts. The method’s significance lies in its ability to assess oxygen forecasts’ uncertainty with evolving physical dynamics. The BNN model outperforms traditional linear regression and persistence methods, particularly under changing climate conditions. Our approach leverages three Explainable AI (XAI) techniques—Integrated Gradients, Gradient SHAP , and DeepLIFT—to provide meaningful interpretations of 2- and 8-year forecasts. The XAI analysis reveals that buoyancy frequency and eddy kinetic energy is a critical predictor for short-term forecasts across the North Atlantic Deep Water (NADW), Upper Circumpolar Deep Water (UCDW), masses. While the LCDW variability emphasizes also a role played by advection processes, such as salinity, over short and long timescales.

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Wed 28 May 15:05: Title to be confirmed

Wed, 19/03/2025 - 11:19
Title to be confirmed

Abstract to be confirmed

Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265

This talk is being recorded. If you do not wish to be seen in the recording, please avoid sitting in the front three rows of seats in the lecture theatre. Any questions asked will also be included in the recording. The recording will be made available on the Department’s webpage

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Wed 04 Jun 15:05: Title to be confirmed

Wed, 19/03/2025 - 11:17
Title to be confirmed

Abstract to be confirmed

Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265

This talk is being recorded. If you do not wish to be seen in the recording, please avoid sitting in the front three rows of seats in the lecture theatre. Any questions asked will also be included in the recording. The recording will be made available on the Department’s webpage

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Wed 21 May 15:05: Title to be confirmed

Wed, 19/03/2025 - 11:14
Title to be confirmed

Abstract to be confirmed

Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265

This talk is being recorded. If you do not wish to be seen in the recording, please avoid sitting in the front three rows of seats in the lecture theatre. Any questions asked will also be included in the recording. The recording will be made available on the Department’s webpage

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Thu 22 May 14:00: Walter Kohn: the theoretical physicist who created DFT and won the Nobel Prize for Chemistry

Wed, 19/03/2025 - 09:55
Walter Kohn: the theoretical physicist who created DFT and won the Nobel Prize for Chemistry

Density Functional Theory (DFT) has become one of the most highly cited techniques in science, widely used for simulations in physics, chemistry, materials science and biology. The modern form of DFT was invented by Walter Kohn after a remarkable personal journey which included escaping on the Kindertransport to England on almost the last train out of Vienna in August 1939, and then being interned in Canada deep in a forest miles from civilisation. Despite these disadvantages, Walter Kohn was able to have an exceptional academic career in theoretical solid state physics which culminated in DFT and the Nobel Prize (but for Chemistry, not Physics). Drawing on fresh insights from his recent biography Walter Kohn: From Kindertransport and Internment to DFT and the Nobel Prize , David Clary will describe the remarkable life, career and science of Walter Kohn.

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Fri 09 May 12:00: Asymmetry in Supposedly Equivalent Facts: Pre-training Bias in Large Language Models

Wed, 19/03/2025 - 06:49
Asymmetry in Supposedly Equivalent Facts: Pre-training Bias in Large Language Models

Understanding and mitigating hallucinations in Large Language Models (LLMs) is crucial for ensuring reliable content generation. While previous research has primarily focused on “when” LLMs hallucinate, our work explains “why” and directly links model behaviour to the pre-training data that forms their prior knowledge. Specifically, we demonstrate that an asymmetry exists in the recognition of logically equivalent facts, which can be attributed to frequency discrepancies of entities appearing as subjects versus objects. Given that most pre-training datasets are inaccessible, we leverage the fully open-source OLMo series by indexing its Dolma dataset to estimate entity frequencies. Using relational facts (represented as triples) from Wikidata5M, we construct probing datasets to isolate this effect. Our experiments reveal that facts with a high-frequency subject and a low-frequency object are better recognised than their inverse, despite their logical equivalence. The pattern reverses in low-to-high frequency settings, and no statistically significant asymmetry emerges when both entities are high-frequency. These findings underscore the influential role of pre-training data in shaping model predictions and provide insights for inferring the characteristics of pre-training data in closed or partially closed LLMs.

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Mon 31 Mar 17:00: Deterministic Neural Syllogistic Reasoning (Part 2)

Tue, 18/03/2025 - 17:22
Deterministic Neural Syllogistic Reasoning (Part 2)

In my last talk (https://talks.cam.ac.uk/talk/index/228844), I introduced the criterion of deterministic neural reasoning, the method of reasoning through model construction and inspection, and proposed a novel neural network, Sphere Neural Network (SphNN), which reasons syllogistic statements by constructing and inspecting Euler diagrams. SphNN does not use training data, instead, it uses a transition map of neighbourhood relations. In this talk, I will present three control process (1. neighbourhood transition without constraint; 2. constraint neighbourhood transition; 3. neighbourhood transition with restart) and prove that the whole control process will successfully construct an Euler diagram in one epoch (M=1). With this proof, SphNN becomes the first neural network that reaches the symbolic-level of syllogistic reasoning.

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Thu 10 Apr 16:00: Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Tue, 18/03/2025 - 15:18
Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

This Cambridge Immunology and Medicine Seminar will take place on Thursday 4 April 2025, starting at 4:00pm, in the Ground Floor Lecture Theatre, Jeffrey Cheah Biomedical Centre (JCBC)

Speaker: Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Title: TBC

Host:

Refreshments will be available following the seminar.

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Tue 18 Mar 14:00: Fighting cancer and fake news: A battle against misinformation

Tue, 18/03/2025 - 13:08
Fighting cancer and fake news: A battle against misinformation

Cancer-related medical misinformation is a wicked problem, deeply embedded in social, cultural, and technical systems. It represents a deliberate and profit-driven phenomenon, perpetuated by bad actors exploiting online platforms and societal vulnerabilities. Cancer misinformation thrives on information asymmetry, where creators hold an informational advantage over their audience. Bad actors exploit this imbalance by distorting facts and concealing critical context, preying on knowledge gaps and fear and uncertainty following a diagnosis. Drawing from signalling theory, we will explore how misinformation creators mimic trustworthy signals like expertise (e.g., impersonating professionals), consensus (e.g., fake reviews), and familiarity (e.g., mimicking reputable formats), manipulating audiences into accepting their claims as credible. These individuals and organisations manipulate trust, emotions, and gaps in knowledge, fostering harmful behaviours and undermining public health efforts. Social media’s monetisation systems incentivise engagement over accuracy, perpetuating a vicious cycle of distrust in conventional medicine. Cancer misinformation leads to devastating outcomes, including delays in treatment, financial exploitation, and diminished trust in healthcare systems. Understanding medical misinformation tactics and the structural mechanisms enabling misinformation is critical to devising effective interventions that address its root causes. This talk explores the roots, proliferation, and impacts of cancer-related misinformation, focusing on its mimicking of trust signals, dissemination through digital ecosystems, and profound consequences for patients and caregivers.

Zoom link: https://cam-ac-uk.zoom.us/j/83142055830?pwd=tVRAsZyuo4LMFR0RinDBY8YHmpwqTY.1

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Wed 09 Jul 14:00: tbc

Tue, 18/03/2025 - 12:47
tbc

Abstract not available

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Thu 10 Apr 16:00: aphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Tue, 18/03/2025 - 12:45
aphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

This Cambridge Immunology and Medicine Seminar will take place on Thursday 4 April 2025, starting at 4:00pm, in the Ground Floor Lecture Theatre, Jeffrey Cheah Biomedical Centre (JCBC)

Speaker: Raphael Mattiuz, Post-doctoral Fellow in Immunobiology, Mount Sinai

Title: TBC

Host:

Refreshments will be available following the seminar.

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Latest news

We are hiring!

4 January 2021

We are seeking to hire a research assistant to work on carbon nanotube based microdevices. More information is available here: www.jobs.cam.ac.uk/job/28202/

We are Hiring!

4 January 2021

We are seeking to hire a postdoc researcher to work on the structuring of Li-ion battery electrodes. More information is available here: www.jobs.cam.ac.uk/job/28197/