A5102770991- Advancements in Photolithography Techniques
- Diamond and Carbon-based Materials Research
- Online Learning and Analytics
- Topic Modeling
- Lipid Membrane Structure and Behavior
- Sphingolipid Metabolism and Signaling
- Artificial Intelligence in Healthcare and Education
- Integrated Circuits and Semiconductor Failure Analysis
- Cellular transport and secretion
- Intelligent Tutoring Systems and Adaptive Learning
- Innovative Teaching and Learning Methods
- Electron and X-Ray Spectroscopy Techniques
- Semiconductor materials and devices
- Advanced Surface Polishing Techniques
- Educational Strategies and Epistemologies
- Microfluidic and Bio-sensing Technologies
- Rheumatoid Arthritis Research and Therapies
- Education and Critical Thinking Development
- Industrial Vision Systems and Defect Detection
- Educational Assessment and Pedagogy
- Electronic and Structural Properties of Oxides
- AI in Service Interactions
- Natural Language Processing Techniques
- Electronic Packaging and Soldering Technologies
- Text Readability and Simplification
Ludwig-Maximilians-Universität München
2023-2025
University of Kaiserslautern
2020-2024
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
2024
University of Koblenz and Landau
2024
LMU Klinikum
2024
Delft University of Technology
2023
Carl Zeiss (Germany)
2014-2022
Jena University Hospital
2014-2019
University of Pennsylvania
2018
University of Stuttgart
2007-2013
We present a solid state magnetic field imaging technique using two-dimensional array of spins in diamond. The sensing spin is made nitrogen vacancy (NV) centers created at shallow depths. Their optical response used for measuring external fields close proximity. Optically detected resonance read out from 60 x microm(2) view multiplexed manner charge coupled device camera. experimentally demonstrate full vector the produced by pair current carrying microwires. presented wide-field NV...
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It trained to understand and generate human used in various applications, including automated customer service, chatbots, content generation. While it the potential offer many benefits, there are also concerns about its for misuse, particularly relation providing inappropriate or harmful safety-related information. To explore ChatGPT's (specifically version 3.5) capabilities advice, multidisciplinary...
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use models, empirical research on their risks in education remains limited. In this work, we demonstrate qualities shortcomings using ChatGPT 3.5 physics task development by prospective teachers. a randomized controlled trial, 26 teacher students were divided into two groups: first group used to develop text-based tasks four different...
Magnetic field fluctuations arising from fundamental spins are ubiquitous in nanoscale biology, and a rich source of information about the processes that generate them. However, ability to detect few involved without averaging over large ensembles has remained elusive. Here, we demonstrate detection gadolinium spin labels an artificial cell membrane under ambient conditions using single-spin nanodiamond sensor. Changes relaxation time sensor located lipid bilayer were optically detected...
Modern-day CMOS-based computation technology is reaching its fundamental limitations. The emerging field of magnonics, which utilizes spin waves for data transport and processing, proposes a promising path to overcome these Different devices have been demonstrated recently on the macro- microscale, but feasibility magnonics approach essentially relies scalability structure feature size down extent few 10 nm, are typical sizes established CMOS technology. Here, we present study propagating...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Stefan Küchemann, Steffen Steinert, Jochen Kuhn, Karina Avila, Ruzika; Large language models—Valuable tools that require a sensitive integration into teaching learning physics. Phys. Teach. 1 May 2024; 62 (5): 400–402. https://doi.org/10.1119/5.0212374 Download citation file: Ris (Zotero) Reference Manager...
Sensing and imaging paramagnetic species under physiological conditions is a key technology in chemical biochemical analytics, cell biology, medical sciences. At submicrometer length scales, nitrogen-vacancy (NV) centers diamond offer atom-sized probes for magnetic fields. We show that spin relaxation of an ensemble NV sensor allows sensing adsorbed freely diffusing manganese(II) ions ferritin. Sensitivities approach 175 Mn 10 ferritin proteins per diffraction limited spot ambient conditions.
Large language models have made great advances in the past years, creating compelling responses to extended verbal inputs. After release of ChatGPT 3.5, researchers identified several opportunities and challenges large various fields education. However, at that point, it was unforeseeable how fast a multitude technological would erupt dynamically educational research change, undoubtedly facing increasing number related models. Now, can be used as middleware connecting AI tools other solve...
Scaling of diamond defect center based quantum registers relies on the ability to position nitrogen vacancy (NV) centers with high spatial resolution. Using ion implantation, shallow (<10 nm) NVs can be placed accuracy below 20 nm, but generally show reduced spin properties compared bulk NVs. We demonstrate enhancement for implanted using a overgrowth technique. An increase coherence times up an order magnitude (T2 = 250 μs) was achieved, ms decoherence were realized dynamical...
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It trained to understand and generate human used in various applications, including automated customer service, chatbots, content generation. While it the potential offer many benefits, there are also concerns about its for misuse, particularly regards providing inappropriate or harmful safety-related information. To explore ChatGPT's capabilities advice, multidisciplinary consortium of experts was formed...
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It trained to understand and generate human used in various applications, including automated customer service, chatbots, content generation. While it the potential offer many benefits, there are also concerns about its for misuse, particularly regards providing inappropriate or harmful safety-related information. To explore ChatGPT's capabilities advice, multidisciplinary consortium of experts was formed...
We have designed a tagged probe [sphingolipid binding domain (SBD)] to facilitate the tracking of intracellular movements sphingolipids in living neuronal cells. SBD is small peptide consisting amyloid precursor protein. It can be conjugated fluorophore choice and exogenously applied cells, thus allowing for vivo imaging. Here, we present evidence describe characteristics association with plasma membrane. Our experiments demonstrate that binds isolated raft fractions from human...
Large language models (LLMs) have recently gained popularity. However, the impact of their general availability through ChatGPT on sensitive areas everyday life, such as education, remains unclear. Nevertheless, societal established educational methods is already being experienced by both students and educators. Our work focuses higher physics education examines problem solving strategies. In a study, with background in were assigned to solve exercises, one group having access an internet...
Classical statistical analysis of data can be complemented or replaced with based on machine learning. However, in certain disciplines, such as education research, studies are frequently limited to small datasets, which raises several questions regarding biases and coincidentally positive results. In this study, we present a refined approach for evaluating the performance binary classification learning datasets. The includes non-parametric permutation test method quantify probability results...
The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task reflection. Our work advocates moderated usage such models, designed a way that supports students encourages critical thinking. We developed two interaction methods with ChatGPT: hint-based assistance presenting multiple answer choices. In study (N=40) answering physics questions, we compared the effects our against...
Abstract Effectively supporting students in mastering all facets of self-regulated learning is a central aim teachers and educational researchers. Prior research could demonstrate that formative feedback an effective way to support during learning. In this light, we propose the application Large Language Models (LLMs) guide towards problem-solving through feedback. We present LEAP, novel platform utilizes advanced LLMs, such as GPT-4o. LEAP empowers with ability effectively pre-prompt assign...