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NanoManufacturing

Michael De Volder, Engineering Department - IfM
 

Fri 02 May 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:29
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Fri 02 May 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:28
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Fri 25 Apr 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:28
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Fri 06 Jun 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:27
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Fri 06 Jun 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:27
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Fri 06 Jun 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:27
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Fri 16 May 08:45: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 13:26
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Correction: Sodium cluster-driven safety concerns of sodium-ion batteries

http://feeds.rsc.org/rss/ee - Tue, 11/03/2025 - 12:49
Energy Environ. Sci., 2025, Advance Article
DOI: 10.1039/D5EE90025E, Correction Open Access &nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Jiaping Niu, Junyuan Dong, Xiaohu Zhang, Lang Huang, Guoli Lu, Xiaolei Han, Jinzhi Wang, Tianyu Gong, Zheng Chen, Jingwen Zhao, Guanglei Cui
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry

Wed 12 Mar 16:00: Transforming Particle Physics with AI

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 11:45
Transforming Particle Physics with AI

LHC as one of the most data-intensive scientific endeavors provides the perfect link between fundamental physics research and modern data science. As machine learning is transforming our lives, literally, no aspect of LHC physics is left untouched. This starts with identifying data for classic or optimal analyses and extends to anomaly searches and powerful simulations based on perturbative quantum field theory. I will give a few examples for the transformative power of modern machine learning in particle physics, show how our understanding of uncertainties adds new flavors to machine learning, and explain how generative neural networks allow us to realize our dream of making LHC data available to a broad scientific community.

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

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 09:35
Cambridge RNA Club - ONLINE

Dr. Adam Cawte: Persistent association with chromatin facilitates the spreading and retention of Xist RNA on the inactive X-chromosome.

Prof. Isaia Barbierii: TBA.

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Thu 20 Mar 17:00: Cambridge RNA Club - IN PERSON

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 09:27
Cambridge RNA Club - IN PERSON

Dr. Alessandro Bonetti: Identification and validation of non-coding pharmacological targets.

Prof. Kevin Weeks: Structure-based discovery and manipulation of new functions in large RNAs.

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Thu 01 May 16:00: Prof. Veit Hornung, Gene Center and Department of Biochemistry, University of Munich

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 09:12
Prof. Veit Hornung, Gene Center and Department of Biochemistry, University of Munich

This Cambridge Immunology and Medicine Seminar will take place on Thursday 1 May 2025, starting at 4:00pm, in the Ground Floor Lecture Theatre, Jeffrey Cheah Biomedical Centre (JCBC)

Speaker: Professor Veit Hornung, Gene Center and Department of Biochemistry, University of Munich

Title: TBC

Host: Felix Randow, MRC -LMB, Cambridge

Refreshments will be available following the seminar.

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Wed 12 Mar 11:00: Quantum circuits models for free independence

http://talks.cam.ac.uk/show/rss/5408 - Tue, 11/03/2025 - 08:46
Quantum circuits models for free independence

In chaotic many-body dynamics the relaxation of local correlation functions to equilibrium is generally understood through the framework of the Eigenstate Thermalization Hypothesis (ETH). An extension of ETH to out-of-time-order correlation functions has been recently proposed, based on the language of free probability, in which relaxation can be understood as operators becoming freely independent. In this talk I will discuss a minimal model in which this approach to free independence can be understood as a Markovian process. These results shed light on the appearance of two-step relaxation mechanisms and generalize the influence matrix approach to out-of-time-order correlation functions, and can be directly applied to more realistic models of many-body quantum dynamics.

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Precise Control Over Crystallization Kinetics by Combining Nucleating Agents and Plasticizers for 20.1% Efficiency Organic Solar Cells

A crystallization-kinetics modulation strategy has been developed to synergistically regulate the hierarchical morphology in a typical bulk heterojunction blend, via introducing a polymer donor and a small molecule acceptor as the nucleation agent and plasticizer, respectively. Consequently, a decent device efficiency of 20.1% is obtained.


Abstract

Obtaining controllable active layer morphology plays a significant role in boosting the device performance of organic solar cells (OSCs). Herein, a quaternary strategy, which incorporates polymer donor D18-Cl and small molecule acceptor AITC into the host D18:N3, is employed to precisely modulate crystallization kinetics for favorable morphology evolution within the active layer. In situ spectroscopic measurements during film-formation demonstrate that while D18-Cl works as a nucleator to promote aggregation of D18 and foster donor/acceptor intermixing, AITC has exactly the opposite impact on aggregation of N3 and intermixing kinetics of donor and acceptor, working as a plasticizer. The mutually compensational effect of the dual-guests, as a result, enables synergistic control over fibrillar networks, multi-length scale morphology, and vertical phase distribution, leading to optimized 3D morphology for greatly enhanced exciton dissociation and charge transfer, suppressed charge recombination, and reduced energy loss. Consequently, the quaternary OSCs based on D18:D18-Cl:N3:AITC achieved an excellent power conversion efficiency of 20.1%, which represents one of the highest efficiencies for single-junction OSCs. This work presents an effective strategy to precisely regulate crystallization kinetics toward advanced morphology control for high-performance OSCs.

Unraveling Compressive Strain and Oxygen Vacancy Effect of Iridium Oxide for Proton‐Exchange Membrane Water Electrolyzers

An optimized nickel-doped iridium (Ir) dioxide catalyst with optimized compressive strain and oxygen (O) vacancies, enhances Ir─O covalency, reduces the Ir─Ir distance, and accelerates water adsorption, breaking the linear scaling relationship of intermediates binding for efficient oxygen evolution.


Abstract

Iridium-based electrocatalysts are commonly regarded as the sole stable operating acidic oxygen evolution reaction (OER) catalysts in proton-exchange membrane water electrolysis (PEMWE), but the linear scaling relationship (LSR) of multiple reaction intermediates binding inhibits the enhancement of its activity. Herein, the compressive strain and oxygen vacancy effect exists in iridium dioxide (IrO2)-based catalyst by a doping engineering strategy for efficient acidic OER activity. In situ synchrotron characterizations elucidate that compressive strain can enhance Ir─O covalency and reduce the Ir─Ir bond distance, and oxygen vacancy (Ov) as an electronic regulator causes rapid adsorption of water molecules on the Ir and adjacent Ov (Ir─Ov) pair site to be coupled directly into *O─O* intermediates. Importantly, hence, volcano-shape curves are established between the compressive strain/oxygen vacancy and OER current using OER as the probe reaction. Theoretical calculation reveals Ni dopant can modulate Ir 5d- and O 2p-band centers for increasing overlap of Ir 5d and O 2p orbits to trigger a continuous metal site-oxygen vacancy synergistic mechanism (MS-OVSM) pathway, successfully breaking the LSR of intermediates binding during OER. Therefore, the resultant proton-exchange membrane water electrolysis (PEMWE) device fabricated using T-0.24Ni/IrO2 delivers a current density of 500 mA cm−2 and operates stably for 500 h.

Geometric Design of Interface Structures and Electrolyte Solvation Chemistry for Fast Charging Lithium‐Ion Batteries

A small-grain-rich solid electrolyte interphase (SEI) geometry can provide sufficient paths for excellent Li+ ion supply capacity, and a soft-solvating electrolyte can enhance the desolvation kinetics of solvated Li+ ions under fast charging conditions. Isobutyronitrile-based electrolytes provide high discharge capacity during fast charging cycles while mitigating lithium plating on the anode.


Abstract

The grain sizes of solid electrolyte interphase (SEI) and solvation structure of electrolytes can affect Li+ ion transport across SEI and control the desolvation kinetics of solvated Li+ ions during fast-charging of Li-ion batteries (LIBs). However, the impact of the geometric structure of SEI grains on the fast charging capability of LIBs is rarely examined. Here, the correlation between the SEI grain size and fast charging characteristics of cells is explored, and the desolvation kinetics is controlled by replacing the strongly binding ethylene carbonate (EC) solvent with a weakly binding nitrile-based solvent under fast charging conditions. The evolution of small grains of SEI to provide sufficient paths for Li+ ion supply can be achieved by the modification of solvation structure in the electrolyte. Additionally, the less resistive SEI composition and low viscosity of isoBN-containing electrolyte enable a more rapid charging of LiNi0.8Co0.1Mn0.1O2/graphite full cells by facilitating the SEI crossing of Li+ ions with less Li plating at a charging rate of 4 C at 25 °C. This work sheds light on solvation structure and interface engineering to enhance the fast charging cycle stability of LIBs for tailorable adoption in transportation sectors.

Monochromatic Responsive HOF Heterostructures via VIA‐Group‐Based Framework Hybridization for Fully‐Covert Photonic Barcode

The monochromatic responsive hydrogen-bonded organic framework (HOF) heterostructure is first achieved based on the VIA-group-based framework hybridization, which enables the concealment of intrinsic fingerprint character and the expression of multicolor responsive mode, further serving as fully-covert photonic barcodes. These findings offer novel insight on exploitating smart-responsive hetero-HOFs for high-security anti-counterfeiting devices.


Abstract

Luminescent responsive heterostructures with region-domained emission and integrated responsiveness exhibit great potential in information security, but always suffer from the direct exposure of fingerprint information at the initial state, making it easy to decode the hidden confidential information. Herein, the first monochromatic responsive hydrogen-bonded organic framework (HOF) heterostructures are reported based on VIA-group-based framework hybridization toward fully-covert photonic barcodes. Designed HOF blocks with different VIA-group elements are integrated via a configuration-assimilation-based assembly method to generate the intrinsic monochromatic HOF heterostructures. Differentiated electronegativity of VIA-group elements endows each HOF block with distinct bonding stability, which triggers different responsive actions to the same stimuli, finally forming the multicolor emission mode at a responsive state. These monochromatic responsive HOF heterostructures can effectively hide the intrinsic fingerprint information, which further demonstrates the fully-covert photonic coding capability as high-security anti-counterfeiting labels. These findings offer novel insight on the exploitation of smart-responsive hetero-HOF systems for advanced information encryption and anticounterfeiting applications.

Galvanic Cell Bipolar Microneedle Patches for Reversing Photoaging Wrinkles

Microneedles reverse photoaging wrinkles. In this study, a magnesium galvanic cell bipolar microneedle composed of redox reaction is introduced. Through playing the role of antioxidant, anti-inflammatory, cell migration, angiogenesis and so on, it can combine action of hydrogen, magnesium ion and micro-current to repair the damage caused by ultraviolet radiation and rejuvenate the skin.


Abstract

Excessive exposure to ultraviolet (UV) radiation is a major factor in the development of skin photoaging wrinkles. While current treatments can slow the progression of photoaging, it is very difficult to achieve complete reversal. This study introduces galvanic cell microneedle (GCMN) patches with magnesium-containing bipolar electrodes. These patches operate through a galvanic cell mechanism, generating microcurrents and releasing hydrogen gas and magnesium ions via a redox reaction. The combination of hydrogen's antioxidant and anti-inflammatory properties, microcurrent-induced stimulation of cell migration, and magnesium's promotion of angiogenesis and macrophage M2 anti-inflammatory polarization synergistically works to reverse photoaging wrinkles and rejuvenate the skin. Furthermore, this work examines how GCMNs may influence the transforming growth factor-β/Smad (TGF-β/Smad) pathway. This approach shows promise for advancing research and development in the field of medical cosmetology.

Tailoring Self‐Catalytic N─Co Bonds into Heterostructure Architectures: Deciphering Polytellurides Conversion Mechanism Toward Ultralong‐Lifespan Potassium Ion Storage

N-doped CoTe2 composites, incorporating 3D low-tortuosity tunneling structure, self-catalytic N─Co bonds, and heterojunction, have been successfully fabricated to accelerate the catalytic conversion of potassium polytellurides. Benefiting from the synergistic effects of unique architecture and superior conversion kinetics, the composites deliver an ultralong-lifespan potassium storage performance over 25 000 cycles with an ultra-low capacity decay rate of only 0.0019%.


Abstract

Transition metal tellurides (TMTes) are promising anodes for potassium-ion batteries (PIBs) due to their high theoretical specific capacity and impressive electronic conductivity. Nevertheless, TMTes suffer from persistent capacity degradation due to the large volume expansion, high ion-diffusion energy barriers, and the dissolution/shuttle of potassium polytellurides (K x Te y ). Herein, a heterostructured CoTe2 composite equipped with a self-catalytic center (N-CoTe2/LTTC) is developed, exploiting its low-tortuosity tunneling, chemical tunability, and self-catalytic properties to elevate cycling stability to new heights. Systematic experiments have verified that the elaborate N-CoTe2/LTTC provides a short-range and efficient electron/ion transport path, accelerates K+ diffusion kinetics, and suppresses huge volume distortion. Notably, the N─Co bonds self-catalytic center can promote the adsorption capabilities and accelerate the conversion kinetics for K x Te y under the synergistic effect of heterojunction. Consequently, the optimized N-CoTe2/LTTC electrode delivers an ultralong‑lifespan cyclability (over 25 000 cycles at 2.0 A g−1, only 0.0019% capacity decay rate per cycle), outperforming those of reported Te-based anodes. Finally, the N-CoTe2/LTTC//PTCDA@450 full cell manifests impressive stability (over 4300 cycles at 2.0 A g−1). This work uncovers the impact of catalytic centers on the conversion of K x Te y and provides valuable insights for rationally designing ultralong-lifespan TMTes anodes for PIBs.

Exploring Carbon Dots for Biological Lasers

This review provides a comprehensive overview of the latest advances in biological lasers and their applications, discusses the construction of gain materials for biological lasers, and compares carbon dots (CDs) in detail, highlighting the advantages of CDs, with the aim of enhancing understanding of CD lasers and contributing to injecting new vitality into the field of biological lasers.


Abstract

Biological lasers, representing innovative miniaturized laser technology, hold immense potential in the fields of biological imaging, detection, sensing, and medical treatment. However, the reported gain media for biological lasers encounter several challenges complex preparation procedures, high cost, toxicity concerns, limited biocompatibility, and stability issues along with poor processability and tunability. These drawbacks have impeded the sustainable development of biological lasers. Carbon dots (CDs), as a novel solution-processable gain materials characterized by facile preparation, low cost, low toxicity, excellent biocompatibility, high stability, easy modification, and luminescence tuning capabilities along with outstanding luminescence performance. Consequently, they find extensive applications in diverse fields such as biology, sensing, photoelectricity, and lasers. Henceforth, they are particularly suitable for constructing biological lasers. This paper provides a comprehensive review on the classification and application of existing biological lasers while emphasizing the advantages of CDs compared to other gain media. Furthermore, it presents the latest progress made by utilizing CDs as gain media and forecasts both promising prospects and potential challenges for biological lasers based on CDs. This study aims to enhance understanding of CD lasers and foster advancements in the field of biological lasers.

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