Calcite Raman spectrum

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Cerussite Raman spectrum

Raman spectrum of aragonite taken at ambient pressure (1 bar) and temperature (25˚C). From: Farsang, S., Facq, S. and Redfern, S.A.T., 2018. Raman modes of carbonate minerals as pressure and temperature gauges up to 6 GPa and 500 C. American Mineralogist: Journal of Earth and Planetary Materials, 103(12), pp.1988-1998 in Farsang, S., Widmer, R.N. and Redfern, S.A.T., 2020. High-pressure and high-temperature vibrational properties and anharmonicity of carbonate minerals up to 6 GPa and 500 ˚C by Raman spectroscopy. Under review at American Mineralogist.

Aragonite Raman spectrum

Stefan Farsang

Siderite Raman spectrum

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Rhodochrosite Raman spectrum

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Magnesite Raman spectrum

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Dolomite Raman spectrum

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Calcite Raman spectrum

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Aragonite Raman spectrum

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Cerussite Raman spectrum

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COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.

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This edition of our Newsletter is a testament to our collective dedication and the exciting progress we’ve achieved. The completion of our first Periodic Report marks a significant milestone, and the advancements in tetrahedrite mineral-based thermoelectric materials are not just promising -they are a lap towards a sustainable future. We’re excited to share updates on our ongoing activities, our synergistic collaborations with the EHRASE cluster and THERMOS project, and insightful technical information on thermoelectric generators. But that’s not all, join us on the Consortium Tour, where this time SGUDS and IGME-CSIC take centre stage. Plus, don’t miss the insightful interview with Doug Crane from our Scientific Advisory Board, whose expertise enriches our understanding of thermoelectrics. This edition also features the fascinating adventures of Starty, exploring the practical uses of thermoelectric devices in a narrative that’s both educational and engaging. Looking ahead, we eagerly anticipate your visit to the START booth at the upcoming 40th International and 20th European Thermoelectric Conference, ICT/ECT 2024, in Krakow. We hope this Newsletter serves not only as a source of information but also as an inspiration for continued excellence. Stay connected with us for more exciting updates from START on our website and social media channels.

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It should be no surprise that AI is treading a similar path to computing which began with single-purpose machines tasked for payroll calculations, banking transactions, or weapons targeting et al, but nothing more! It took decades for General Purpose Computing to emerge in the form of the now ubiquitous PC. Today, AI is still in a single-purpose/task-specific phase, and we have no general-purpose platforms, but their emergence is only a matter of time! Recent AI progress has seen a repeat of the media debate and alarmist warnings for our computing past, compounded by consequential advances in robotics. In turn, this has promoted numerous attempts to draw biological equivalences defining the time when machines will overtake humans. But without any workable definitions or framework that tend to little more than un/educated guesses. Recourse to IQ measures and the Touring test have proved to be irrelevant, and without a reference framework or formal characterisation, continued discussion and debate remain futile We therefore approach this AI problem from the bottom up by defining the simplest of machines and lifeforms to derive clues, pointers and basic boundary conditions . This sees a fundamental Entropic description emerge that is applicable to both machine and lifeforms. This presentation is suitable for professionals and the public alike, and is fully illustrated by high-quality graphics, animations and, movies. Inevitably, it contains some mathematics that non-practitioners will have to take on trust, but the focus is on defining the key characteristics, parameters, and important features of AI, our total dependence, and the future! Note: A 40 min session for a predominantly ley audience and not all the slides presented here were used on the day. Their inclusion here is in response to those audience members requesting more detail at the end of/during the event.

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Heat units, also known as growing degree days (GDD), are a crucial concept in plant physiology and agricultural science, providing a measure of heat accumulation used to predict plant development rates and stages. This measure is particularly useful in understanding and forecasting the growth phases of plants, such as flowering, fruiting, and maturity, which are temperature-dependent. Key points on the importance of heat units in plant physiology include: Predicting Phenological Events: Heat units help predict significant events in a plant’s life cycle, such as germination, flowering, and harvest times. This is vital for farmers and gardeners to optimize planting schedules and manage crop cycles efficiently. Agricultural Planning: By calculating GDDs, agriculturists can decide the best times for planting, irrigating, applying fertilizers, and controlling pests. This can lead to better crop yields and improved management of resources. Varietal Selection: Different plant varieties have specific heat unit requirements. Understanding these requirements helps in selecting the right varieties for a particular climatic zone, thus maximizing productivity and sustainability. Climate Change Adaptation: Monitoring heat units over time can provide insights into shifting climate patterns and help in developing strategies to adapt agricultural practices to changing environmental conditions. Research and Breeding: In plant breeding, heat unit data can help in developing varieties with desired traits such as drought tolerance or shortened growing periods, which are particularly valuable in regions facing climatic stresses.

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Large language models (LLMs) are in the spotlight. Laypeople are aware of and are using the LLMs such as OpenAI’s ChatGPT and Google’s Gemini on a daily basis. While companies are exploring new business opportunities, researchers have gained access to an unprecedented scientific playground that allows for fast experimentation with limited resources and immediate results. In this talk, using concrete examples from requirements engineering, I am going to put forward several research opportunities that are enabled by the advent of LLMs. I will show how LLMs, as a key example of modern AI, unlock research topics that were deemed as too challenging until recently. Then, I will critically discuss the perils that we face when it comes to planning, conducting, and reporting on credible research results following a rigorous scientific approach. This talk will stress the inherent tension between the exciting affordances offered by this new technology, which include the ability to generate non-factual outputs (fiction), and our role and societal responsibility as information scientists.

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The thermal continuum emission observed from accreting black holes across X-ray bands has the potential to be leveraged as a powerful probe of the mass and spin of the central black hole. The vast majority of existing ‘continuum fitting’ models neglect emission sourced at and within the innermost stable circular orbit (ISCO) of the black hole. Numerical simulations, however, find non-zero emission sourced from these regions. In this work, we extend existing techniques by including the emission sourced from within the plunging region, utilizing new analytical models that reproduce the properties of numerical accretion simulations. We show that in general the neglected intra-ISCO emission produces a hot-and-small quasi-blackbody component, but can also produce a weak power-law tail for more extreme parameter regions. A similar hot-and-small blackbody component has been added in by hand in an ad hoc manner to previous analyses of X-ray binary spectra. We show that the X-ray spectrum of MAXI J1820+070 in a soft-state outburst is extremely well described by a full Kerr black hole disc, while conventional models that neglect intra-ISCO emission are unable to reproduce the data. We believe this represents the first robust detection of intra-ISCO emission in the literature, and allows additional constraints to be placed on the MAXI J1820 + 070 black hole spin which must be low a• < 0.5 to allow a detectable intra-ISCO region. Emission from within the ISCO is the dominant emission component in the MAXI J1820 + 070 spectrum between 6 and 10 keV, highlighting the necessity of including this region. Our continuum fitting model is made publicly available.

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